neuralnetworks_sample_sl_driver_prebuilt.so - OpenGrok cross reference for /aosp_15_r20/packages/modules/NeuralNetworks/driver/sample_shim/android_arm/neuralnetworks_sample_sl_driver

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i2d_ECParameters o2i_ECPublicKey i2o_ECPublicKey EC_get_builtin_curves ECDH_compute_key ECDSA_sign ECDSA_size ECDSA_SIG_marshal ECDSA_verify ECDSA_SIG_parse ECDSA_SIG_to_bytes ECDSA_SIG_from_bytes ECDSA_SIG_max_len d2i_ECDSA_SIG i2d_ECDSA_SIG ENGINE_new ENGINE_free ENGINE_set_RSA_method ENGINE_get_RSA_method ENGINE_set_ECDSA_method ENGINE_get_ECDSA_method ERR_get_error ERR_get_error_line ERR_get_error_line_data ERR_peek_error ERR_peek_error_line ERR_peek_error_line_data ERR_peek_last_error ERR_peek_last_error_line ERR_peek_last_error_line_data ERR_clear_error ERR_remove_thread_state ERR_get_next_error_library ERR_remove_state ERR_clear_system_error ERR_lib_error_string ERR_func_error_string ERR_reason_error_string ERR_error_string ERR_error_string_n ERR_print_errors_cb ERR_print_errors_fp ERR_put_error ERR_add_error_data ERR_add_error_dataf ERR_set_error_data ERR_set_mark ERR_pop_to_mark ERR_load_crypto_strings ERR_free_strings ERR_load_BIO_strings ERR_load_ERR_strings ERR_load_RAND_strings ERR_SAVE_STATE_free ERR_save_state ERR_restore_state EVP_PKEY_new EVP_PKEY_free EVP_PKEY_up_ref EVP_PKEY_is_opaque EVP_PKEY_cmp EVP_PKEY_copy_parameters EVP_PKEY_set_type EVP_PKEY_missing_parameters EVP_PKEY_cmp_parameters EVP_PKEY_size EVP_PKEY_bits EVP_PKEY_id EVP_PKEY_type EVP_PKEY_set1_RSA EVP_PKEY_assign_RSA EVP_PKEY_get0_RSA EVP_PKEY_get1_RSA EVP_PKEY_set1_DSA EVP_PKEY_assign_DSA EVP_PKEY_get0_DSA EVP_PKEY_get1_DSA EVP_PKEY_set1_EC_KEY EVP_PKEY_assign_EC_KEY EVP_PKEY_get0_EC_KEY EVP_PKEY_get1_EC_KEY EVP_PKEY_get0_DH EVP_PKEY_get1_DH EVP_PKEY_assign EVP_PKEY_new_raw_private_key EVP_PKEY_new_raw_public_key EVP_PKEY_get_raw_private_key EVP_PKEY_get_raw_public_key EVP_PKEY_CTX_set_signature_md EVP_PKEY_CTX_get_signature_md EVP_PKEY_get0 OpenSSL_add_all_algorithms OPENSSL_add_all_algorithms_conf OpenSSL_add_all_ciphers OpenSSL_add_all_digests EVP_cleanup EVP_PKEY_set1_tls_encodedpoint EVP_PKEY_get1_tls_encodedpoint EVP_PKEY_base_id EVP_PKEY_CTX_new EVP_PKEY_CTX_new_id EVP_PKEY_CTX_free EVP_PKEY_CTX_dup EVP_PKEY_CTX_get0_pkey EVP_PKEY_CTX_ctrl EVP_PKEY_sign_init EVP_PKEY_sign EVP_PKEY_verify_init EVP_PKEY_verify EVP_PKEY_encrypt_init EVP_PKEY_encrypt EVP_PKEY_decrypt_init EVP_PKEY_decrypt EVP_PKEY_verify_recover_init EVP_PKEY_verify_recover EVP_PKEY_derive_init EVP_PKEY_derive_set_peer EVP_PKEY_derive EVP_PKEY_keygen_init EVP_PKEY_keygen EVP_PKEY_paramgen_init EVP_PKEY_paramgen EVP_PKEY_CTX_set_dsa_paramgen_bits EVP_PKEY_CTX_set_dsa_paramgen_q_bits EVP_PKEY_CTX_set_ec_paramgen_curve_nid EVP_PKEY_CTX_set_ec_param_enc EVP_PKEY_CTX_hkdf_mode EVP_PKEY_CTX_set_hkdf_md EVP_PKEY_CTX_set1_hkdf_key EVP_PKEY_CTX_set1_hkdf_salt EVP_PKEY_CTX_add1_hkdf_info EVP_PKEY_CTX_set_rsa_padding EVP_PKEY_CTX_get_rsa_padding EVP_PKEY_CTX_set_rsa_pss_keygen_md EVP_PKEY_CTX_set_rsa_pss_keygen_saltlen EVP_PKEY_CTX_set_rsa_pss_keygen_mgf1_md EVP_PKEY_CTX_set_rsa_pss_saltlen EVP_PKEY_CTX_get_rsa_pss_saltlen EVP_PKEY_CTX_set_rsa_keygen_bits EVP_PKEY_CTX_set_rsa_keygen_pubexp EVP_PKEY_CTX_set_rsa_oaep_md EVP_PKEY_CTX_get_rsa_oaep_md EVP_PKEY_CTX_set_rsa_mgf1_md EVP_PKEY_CTX_get_rsa_mgf1_md EVP_PKEY_CTX_set0_rsa_oaep_label EVP_PKEY_CTX_get0_rsa_oaep_label CRYPTO_get_ex_new_index CRYPTO_set_ex_data CRYPTO_get_ex_data CRYPTO_new_ex_data CRYPTO_free_ex_data CRYPTO_cleanup_all_ex_data OPENSSL_malloc OPENSSL_free OPENSSL_cleanse OPENSSL_realloc OPENSSL_clear_free CRYPTO_secure_malloc_init CRYPTO_secure_malloc_initialized CRYPTO_secure_used OPENSSL_secure_malloc OPENSSL_secure_clear_free CRYPTO_memcmp OPENSSL_hash32 OPENSSL_strhash OPENSSL_strnlen OPENSSL_strdup OPENSSL_isalpha OPENSSL_isdigit OPENSSL_isxdigit OPENSSL_fromxdigit OPENSSL_isalnum OPENSSL_tolower OPENSSL_isspace OPENSSL_strcasecmp OPENSSL_strncasecmp BIO_snprintf BIO_vsnprintf OPENSSL_vasprintf_internal OPENSSL_vasprintf OPENSSL_asprintf OPENSSL_strndup OPENSSL_strlcpy OPENSSL_strlcat OPENSSL_memdup CRYPTO_malloc CRYPTO_realloc CRYPTO_free RAND_enable_fork_unsafe_buffering CRYPTO_refcount_inc CRYPTO_refcount_dec_and_test_zero RSA_parse_public_key RSA_public_key_from_bytes RSA_marshal_public_key RSA_public_key_to_bytes RSA_parse_private_key RSA_private_key_from_bytes RSA_marshal_private_key RSA_private_key_to_bytes d2i_RSAPublicKey i2d_RSAPublicKey d2i_RSAPrivateKey i2d_RSAPrivateKey RSAPublicKey_dup RSAPrivateKey_dup RSA_padding_add_PKCS1_OAEP_mgf1 RSA_public_encrypt RSA_encrypt RSA_private_encrypt RSA_decrypt RSA_private_decrypt RSA_public_decrypt OPENSSL_sk_new OPENSSL_sk_new_null OPENSSL_sk_num OPENSSL_sk_zero OPENSSL_sk_value OPENSSL_sk_set OPENSSL_sk_free OPENSSL_sk_pop_free_ex sk_pop_free OPENSSL_sk_insert OPENSSL_sk_delete OPENSSL_sk_delete_ptr OPENSSL_sk_delete_if OPENSSL_sk_find OPENSSL_sk_is_sorted OPENSSL_sk_shift OPENSSL_sk_push OPENSSL_sk_pop OPENSSL_sk_dup OPENSSL_sk_sort OPENSSL_sk_set_cmp_func OPENSSL_sk_deep_copy sk_new_null sk_num sk_value sk_free sk_push sk_pop sk_pop_free_ex CRYPTO_MUTEX_init CRYPTO_MUTEX_lock_read CRYPTO_MUTEX_lock_write CRYPTO_MUTEX_unlock_read CRYPTO_MUTEX_unlock_write CRYPTO_MUTEX_cleanup CRYPTO_once CRYPTO_get_thread_local CRYPTO_set_thread_local AES_encrypt AES_decrypt AES_set_encrypt_key AES_set_decrypt_key AES_wrap_key AES_unwrap_key AES_wrap_key_padded AES_unwrap_key_padded AES_ctr128_encrypt AES_ecb_encrypt AES_cbc_encrypt AES_ofb128_encrypt AES_cfb128_encrypt BN_add BN_ucmp BN_usub BN_uadd BN_add_word BN_sub_word BN_set_word BN_is_zero BN_sub BN_set_negative BN_new BN_secure_new BN_init BN_free BN_clear_free BN_dup BN_copy BN_clear BN_value_one BN_num_bits_word BN_num_bits BN_num_bytes BN_zero BN_one BN_set_u64 BN_is_negative bn_resize_words BN_bin2bn BN_lebin2bn BN_le2bn BN_bn2bin BN_bn2le_padded BN_bn2bin_padded BN_get_word BN_get_u64 BN_cmp BN_abs_is_word BN_cmp_word BN_is_one BN_is_word BN_is_odd BN_is_pow2 BN_equal_consttime BN_CTX_new BN_CTX_free BN_CTX_start BN_CTX_get BN_CTX_end BN_div BN_lshift BN_rshift BN_nnmod bn_div_consttime BN_mod_add BN_mod_add_quick BN_mod_sub BN_mod_sub_quick BN_mod_mul BN_sqr BN_mul BN_mod_sqr BN_mod_lshift BN_mod_lshift_quick BN_mod_lshift1 BN_lshift1 BN_mod_lshift1_quick BN_div_word BN_mod_word BN_mod_pow2 BN_nnmod_pow2 bn_mod_u16_consttime BN_exp BN_is_bit_set BN_mod_exp BN_mod_exp_mont BN_MONT_CTX_new_consttime BN_mod_mul_montgomery BN_from_montgomery BN_MONT_CTX_free BN_to_montgomery BN_mod_exp_mont_consttime BN_mod_exp_mont_word BN_mod_exp2_mont BN_MONT_CTX_new_for_modulus BN_MONT_CTX_set BN_rshift1 BN_mod_inverse bn_mod_inverse_consttime BN_mod_inverse_blinded BN_rand_range_ex BN_gcd bn_is_relatively_prime bn_lcm_consttime bn_rshift_secret_shift BN_MONT_CTX_new BN_MONT_CTX_copy BN_set_bit bn_abs_sub_consttime BN_mul_word BN_GENCB_new BN_GENCB_free BN_GENCB_set BN_GENCB_call BN_GENCB_get_arg BN_generate_prime_ex BN_rand BN_primality_test BN_is_prime_fasttest_ex bn_miller_rabin_init BN_count_low_zero_bits bn_miller_rabin_iteration BN_is_prime_ex BN_enhanced_miller_rabin_primality_test RAND_bytes BN_pseudo_rand CTR_DRBG_init CTR_DRBG_generate BN_rand_range BN_pseudo_rand_range BN_clear_bit BN_mask_bits BN_mod_sqrt BN_sqrt EVP_AEAD_key_length EVP_AEAD_nonce_length EVP_AEAD_max_overhead EVP_AEAD_max_tag_len EVP_AEAD_CTX_zero EVP_AEAD_CTX_new EVP_AEAD_CTX_init EVP_AEAD_CTX_free EVP_AEAD_CTX_cleanup EVP_AEAD_CTX_init_with_direction EVP_AEAD_CTX_seal EVP_AEAD_CTX_seal_scatter EVP_AEAD_CTX_open EVP_AEAD_CTX_open_gather EVP_AEAD_CTX_aead EVP_AEAD_CTX_get_iv EVP_AEAD_CTX_tag_len EVP_CIPHER_CTX_init EVP_CIPHER_CTX_new EVP_CIPHER_CTX_cleanup EVP_CIPHER_CTX_free EVP_CIPHER_CTX_copy EVP_CIPHER_CTX_reset EVP_CipherInit_ex EVP_CIPHER_CTX_ctrl EVP_CIPHER_CTX_flags EVP_CIPHER_CTX_mode EVP_CIPHER_CTX_iv_length EVP_EncryptInit_ex EVP_DecryptInit_ex EVP_EncryptUpdate EVP_EncryptFinal_ex EVP_DecryptUpdate EVP_DecryptFinal_ex EVP_Cipher EVP_CipherUpdate EVP_CipherFinal_ex EVP_CIPHER_CTX_cipher EVP_CIPHER_CTX_nid EVP_CIPHER_CTX_encrypting EVP_CIPHER_CTX_block_size EVP_CIPHER_CTX_key_length EVP_CIPHER_mode EVP_CIPHER_CTX_get_app_data EVP_CIPHER_CTX_set_app_data EVP_CIPHER_CTX_set_padding EVP_CIPHER_CTX_set_key_length EVP_CIPHER_nid EVP_CIPHER_block_size EVP_CIPHER_key_length EVP_CIPHER_iv_length EVP_CIPHER_flags EVP_CipherInit EVP_EncryptInit EVP_DecryptInit EVP_CipherFinal EVP_EncryptFinal EVP_DecryptFinal EVP_add_cipher_alias EVP_CIPHER_CTX_set_flags CRYPTO_gcm128_init_key EVP_aes_128_cbc EVP_aes_128_ctr EVP_aes_128_ofb EVP_aes_128_gcm EVP_aes_192_cbc EVP_aes_192_ctr EVP_aes_192_ofb EVP_aes_192_gcm EVP_aes_256_cbc EVP_aes_256_ctr EVP_aes_256_ofb EVP_aes_256_gcm EVP_aes_128_ecb EVP_aes_192_ecb EVP_aes_256_ecb EVP_aead_aes_128_gcm EVP_aead_aes_192_gcm EVP_aead_aes_256_gcm EVP_aead_aes_128_gcm_randnonce EVP_aead_aes_256_gcm_randnonce EVP_aead_aes_128_gcm_tls12 EVP_aead_aes_256_gcm_tls12 EVP_aead_aes_128_gcm_tls13 EVP_aead_aes_256_gcm_tls13 EVP_has_aes_hardware EVP_aead_aes_128_ccm_bluetooth EVP_aead_aes_128_ccm_bluetooth_8 EVP_aead_aes_128_ccm_matter AES_CMAC CMAC_Init CMAC_Update CMAC_Final CMAC_CTX_new CMAC_CTX_free CMAC_CTX_copy CMAC_Reset DH_check_pub_key DH_check DH_new DH_free DH_bits DH_get0_pub_key DH_get0_priv_key DH_get0_p DH_get0_q DH_get0_g DH_get0_key DH_set0_key DH_get0_pqg DH_set0_pqg DH_set_length DH_generate_key DH_size DH_compute_key_padded DH_compute_key DH_compute_key_hashed EVP_Digest EVP_MD_size DH_num_bits DH_up_ref DH_get_rfc7919_2048 EVP_MD_type EVP_MD_nid EVP_MD_flags EVP_MD_block_size EVP_MD_CTX_init EVP_MD_CTX_new EVP_MD_CTX_create EVP_MD_CTX_cleanup EVP_MD_CTX_cleanse EVP_MD_CTX_free EVP_MD_CTX_destroy EVP_DigestFinalXOF EVP_MD_meth_get_flags EVP_MD_CTX_set_flags EVP_MD_CTX_copy_ex EVP_MD_CTX_move EVP_MD_CTX_copy EVP_MD_CTX_reset EVP_DigestInit_ex EVP_DigestInit EVP_DigestUpdate EVP_DigestFinal_ex EVP_DigestFinal EVP_MD_CTX_md EVP_MD_CTX_size EVP_MD_CTX_block_size EVP_MD_CTX_type EVP_add_digest EVP_md4 EVP_md5 EVP_sha1 EVP_sha224 EVP_sha256 EVP_sha384 EVP_sha512 EVP_sha512_256 EVP_md5_sha1 EVP_DigestSignInit EVP_DigestVerifyInit EVP_DigestSignUpdate EVP_DigestVerifyUpdate EVP_DigestSignFinal EVP_DigestVerifyFinal EVP_DigestSign EVP_DigestVerify ECDH_compute_key_fips EC_GROUP_cmp perror SHA512_Update EC_KEY_get0_group SHA224 SHA256 SHA384 SHA512 ECDSA_SIG_new ECDSA_SIG_free ECDSA_SIG_get0_r ECDSA_SIG_get0_s ECDSA_SIG_get0 ECDSA_SIG_set0 EC_KEY_get0_public_key ec_bignum_to_scalar ec_point_mul_scalar_public ECDSA_do_verify ec_scalar_from_bytes ECDSA_sign_with_nonce_and_leak_private_key_for_testing ECDSA_do_sign EC_GROUP_get0_order SHA512_Init SHA512_Final EC_group_p224 EC_group_p256 EC_group_p384 EC_group_p521 EC_GROUP_new_curve_GFp EC_GROUP_free EC_GROUP_set_generator ec_jacobian_to_affine EC_GROUP_new_by_curve_name EC_GROUP_dup EC_GROUP_get0_generator EC_GROUP_get_order EC_GROUP_order_bits EC_GROUP_get_cofactor EC_GROUP_get_curve_GFp EC_GROUP_get_curve_name EC_GROUP_get_degree EC_curve_nid2nist EC_curve_nist2nid EC_POINT_new EC_POINT_free EC_POINT_clear_free EC_POINT_copy EC_POINT_dup EC_POINT_set_to_infinity EC_POINT_is_at_infinity EC_POINT_is_on_curve EC_POINT_cmp EC_POINT_get_affine_coordinates_GFp EC_POINT_get_affine_coordinates EC_POINT_set_affine_coordinates_GFp EC_POINT_set_affine_coordinates EC_POINT_add EC_POINT_dbl EC_POINT_invert EC_POINT_mul EC_GROUP_set_asn1_flag EC_GROUP_get_asn1_flag EC_GROUP_method_of EC_METHOD_get_field_type EC_GROUP_set_point_conversion_form EC_KEY_new EC_KEY_new_method EC_KEY_new_by_curve_name EC_KEY_free EC_KEY_dup EC_KEY_set_public_key EC_KEY_set_private_key EC_KEY_set_group EC_KEY_get0_private_key EC_KEY_up_ref EC_KEY_is_opaque EC_KEY_get_enc_flags EC_KEY_set_enc_flags EC_KEY_get_conv_form EC_KEY_set_conv_form EC_KEY_check_key EC_KEY_check_fips EC_KEY_set_public_key_affine_coordinates EC_KEY_oct2key EC_POINT_oct2point EC_POINT_set_compressed_coordinates_GFp EC_KEY_key2buf EC_POINT_point2buf EC_POINT_point2oct EC_KEY_oct2priv EC_KEY_priv2oct ec_scalar_to_bytes EC_KEY_priv2buf EC_KEY_generate_key EC_KEY_generate_key_fips EC_KEY_get_ex_new_index EC_KEY_set_ex_data EC_KEY_get_ex_data EC_KEY_set_asn1_flag HKDF HKDF_extract HKDF_expand HMAC_Init_ex HMAC_CTX_cleanup HMAC HMAC_Final HMAC_CTX_init HMAC_Update HMAC_CTX_new HMAC_CTX_cleanse HMAC_CTX_free HMAC_size HMAC_CTX_get_md HMAC_CTX_copy_ex HMAC_CTX_reset HMAC_Init HMAC_CTX_copy MD4 MD4_Final MD4_Init MD4_Update MD4_Transform MD5 MD5_Final MD5_Init MD5_Update MD5_Transform CRYPTO_gcm128_setiv CRYPTO_gcm128_aad CRYPTO_gcm128_encrypt CRYPTO_gcm128_decrypt CRYPTO_gcm128_encrypt_ctr32 CRYPTO_gcm128_decrypt_ctr32 CRYPTO_gcm128_finish CRYPTO_gcm128_tag CTR_DRBG_new CTR_DRBG_free CTR_DRBG_reseed CTR_DRBG_clear CRYPTO_get_fork_generation mmap madvise munmap CRYPTO_fork_detect_force_madv_wipeonfork_for_testing RAND_pseudo_bytes RAND_get_system_entropy_for_custom_prng syscall __open_2 __read_chk RSA_verify_PKCS1_PSS_mgf1 RSA_size RSA_padding_add_PKCS1_PSS_mgf1 RSA_new_public_key RSA_new_method RSA_free RSA_check_key RSA_new RSA_new_private_key RSA_new_private_key_no_crt RSA_new_private_key_no_e RSA_new_public_key_large_e RSA_new_private_key_large_e RSA_new_method_no_e RSA_up_ref RSA_bits RSA_get0_n RSA_get0_e RSA_get0_d RSA_get0_p RSA_get0_q RSA_get0_dmp1 RSA_get0_dmq1 RSA_get0_iqmp RSA_get0_key RSA_get0_factors RSA_get0_pss_params RSA_get0_crt_params RSA_set0_key RSA_set0_factors RSA_set0_crt_params RSA_sign_raw RSA_is_opaque RSA_get_ex_new_index RSA_set_ex_data RSA_get_ex_data RSA_add_pkcs1_prefix RSA_sign RSA_sign_pss_mgf1 RSA_verify RSA_verify_pss_mgf1 RSA_verify_raw RSA_check_fips RSA_flags RSA_test_flags RSA_blinding_on memchr RSA_generate_key_ex RSA_generate_key_fips FIPS_mode FIPS_mode_set FIPS_module_name FIPS_version FIPS_query_algorithm_status FIPS_read_counter fwrite fputc fflush BORINGSSL_self_test SHA1_Update SHA1_Final CRYPTO_tls1_prf CRYPTO_tls13_hkdf_expand_label FIPS_service_indicator_before_call FIPS_service_indicator_after_call SHA1_Init SHA1 SHA1_Transform SHA224_Init SHA224_Update SHA224_Final SHA256_Transform SHA256_TransformBlocks SHA384_Init SHA512_256_Init SHA384_Update SHA384_Final SHA512_256 SHA512_256_Update SHA512_256_Final SHA512_Transform read getauxval OPENSSL_memory_alloc OPENSSL_memory_free sdallocx OPENSSL_memory_get_size __vsnprintf_chk realloc calloc strerror strchr __strlen_chk fputs strdup pthread_rwlock_init pthread_rwlock_rdlock pthread_rwlock_wrlock pthread_rwlock_unlock pthread_rwlock_destroy pthread_once pthread_getspecific pthread_key_create qsort fopen fclose fread ferror fgets fseek ftell feof _ZN7android2nn10activation8validateENS0_13OperationTypeEPKNS0_27IOperationValidationContextE _ZN7android2nn10activation17validateHardSwishEPKNS0_27IOperationValidationContextE _ZN7android2nn12hasKnownRankERKNS0_5ShapeE _ZN7android2nn18validateInputTypesEPKNS0_27IOperationValidationContextERKNSt3__16vectorINS0_11OperandTypeENS4_9allocatorIS6_EEEE 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ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed an unfinished compilation ANeuralNetworksExecution_setInput bad index with numDevices = 1 ANeuralNetworksExecution_getOutputOperandDimensions bad index Check failed: !mCompilation->hasDynamicTemporaries() burstCompute Check failed: mValidator != nullptr ANeuralNetworksExecution starts compute when not all outputs specified to[i] == from[i] || to[i] == 0 ) dim state( Check failed: it != mOutputIndexStepModelToMainModel.end() : execute on Check failed: !containsUnknownSize(step->elseBranchInputOperands) ExecutionPlan::CompoundBody::finish: compilation finished successfully : evaluating condition controller->mSourceOperandToOutputIndex.count(outputOperand) Check failed: kInterface != nullptr IBurst::createReusableExecution() error: Should never call prepareModel with cache information on CpuDevice ]: invalid dimensions for scalar memory. Extensions are not supported for this process. Copied small value to offset setting per-channel quantization parameters for operand Allocated large value pool of size Failed to calculate model arch hash count trailing inputs. ANeuralNetworksModel_getSupportedOperationsForDevices passed a nullptr as a device ANeuralNetworksExecution_setTimeout passed a nullptr Unrecognized ExecutionMode = Input tensor rank should be at least 2. Input tensors are not able to perform matrix multiplication. numOutputs == kNumOutputs || numOutputs == kNumOutputsWithState getSizeOfDimension(bwWeights, 1) getSizeOfDimension(input, axis) % numGroups == 0 convNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, biasData, biasShape, padding_left, padding_right, padding_top, padding_bottom, stride_width, stride_height, dilation_width_factor, dilation_height_factor, activation, output.getNhwcBuffer(), output.getNhwcShape()) 0.125f getSizeOfDimension(anchorsShape, 1) context->getInputValue<_Float16>(kScaleYScalar) > 0 packParams(context, &params) getSizeOfDimension(inputToForgetShape, 1) getSizeOfDimension(recurrentToForgetShape, 0) hasTensor(context, kInputGateBiasTensor) getNumberOfDimensions(inputLayerNormShape) cellShift <= -9 QuantizeMultiplier(recurrentToInputEffectiveScale, &recurrentToInputEffectiveScaleA, &recurrentToInputEffectiveScaleB) QuantizeMultiplier(inputToForgetEffectiveScale, &inputToForgetEffectiveScaleA, &inputToForgetEffectiveScaleB) PrecomputeZeroPointTimesWeightWithBias( -prevOutputShape.offset, recurrentToCellWeightsBuffer, recurrentToCellWeightsShape, nullptr, &recurrentToCellEffectiveBias) Unsupported tensor types combination for QUANTIZE op. (input type: heightSamplingRatio wRoiStart wRoiEnd stridesShape.type == OperandType::TENSOR_INT32 filterWidth GetQuantizedConvolutionMultiplier(inputShape, filterShape, biasShape, outputShape, &realMultiplier) timeMajor == 0 || timeMajor == 1 requestPoolInfos.size() CpuExecutor::executeIfOperation: condition value: out operands. Got Check failed: index < operation->outputs.size() [ , expected 23 or 27) or output operands ( validateQuant8AsymmSignedParams(type, tag) validateBranchOperand(operands[inputs[op::kThenModelOperand]]) a.scale Check failed: index < static_cast<uint32_t>(inputCount) origOperandIndexToSlicedIndex inputIndexes processing created of size Second tensor: dimension width % blockSize == 0 getNumberOfDimensions(bias) == 1 (1 << 27) SizeOfDimension(fw_aux_input_to_forget_weights_, 0) packages/modules/NeuralNetworks/common/include/OperationsExecutionUtils.h dimsA.size() Unsupported CAST input type SizeOfDimension(cell_to_output_weights, 0) packages/modules/NeuralNetworks/common/cpu_operations/Multinomial.cpp prevOutput->zeroPoint checkWeightsShape(recurrentToOutputWeights, outputSize) checkBiasShape(outputGateBias) packages/modules/NeuralNetworks/common/cpu_operations/SimpleMath.cpp , mTokenToBuffers.size()= external/boringssl/src/crypto/fipsmodule/ec/felem.c ECDSA-verify KAT failed. compiler: n/a BIO routines ECDSA routines external/boringssl/src/crypto/evp/evp.c external/boringssl/src/crypto/evp/p_x25519_asn1.c input1.scale * input2.scale weights.type == input.type validateInputTypes(context, { inputType, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32, OperandType::INT32, OperandType::INT32, OperandType::INT32, }) packages/modules/NeuralNetworks/common/types/operations/src/UnidirectionalSequenceLSTM.cpp inExpectedTypes.size() getNumOutputs() SharedMemoryAndroid Unable to open function TENSOR_QUANT16_SYMM MEDIUM , verified->size()= opType with a non-positive scale with a non-zero zeroPoint packages/modules/NeuralNetworks/common/types/operations/src/EmbeddingLookup.cpp context->getNumInputs() == 15 && context->getNumOutputs() == 2 %s failed to acquire mutex Deleted virtual function called! std::exception Wednesday March random_device got an unexpected error The expression contained an invalid back reference. B H full-stop left-curly-bracket low-line %lu %lld ro.build.version.codename ANeuralNetworksExecution_getOutputOperandDimensions can not query dimensions of a scalar called on a non-reusable execution that has already completed = Check failed: mState != State::PREPARATION toIndex isZeroSizedTensor(executionResultCode, from[i]) index (index= (mState= , MEMORY= Check failed: i < size() , initialLength = Check failed: isNew Source operand ExecutionPlan::CompoundBody::finish -- step# already defined by step ModelBuilder::partitionTheWork: DynamicTemporaries::redeclare(sourceOperandIndex = Check failed: mState == SIMPLE prepareModelFromCache failure ( Before burstController->execute() packages/modules/NeuralNetworks/runtime/Memory.cpp MemoryDescriptor start ANeuralNetworksModel_finish called on an invalid model , inputCount= Graph contains at least one cycle or one never-written operand } has trailing optional inputs set to default values. Removing ANeuralNetworksDevice_getFeatureLevel passed a nullptr ANeuralNetworksExecution_setMeasureTiming passed a nullptr ANeuralNetworksEvent_createFromSyncFenceFd passed a nullptr ANeuralNetworksExecution_startComputeWithDependencies passed a nullptr QuantizeMultiplier(reluish_multiplier, &reluish_multiplier_fixedpoint_int32, &params.reluish_multiplier_exponent) getSizeOfDimension(fwRecurrentWeights, 0) packages/modules/NeuralNetworks/common/cpu_operations/DepthwiseConv2D.cpp context->setOutputShape(kOutputBatchesTensor, outputBatchSplitShape) getSizeOfDimension(bboxDeltasShape, useNchw ? 2 : 1) axis value out of range getNumberOfDimensions(recurrentToInputShape) getSizeOfDimension(projectionBiasShape, 0) CheckedLog2(prevCellStateShape.scale, &cellShift) QuantizeMultiplier(cellToOutputEffectiveScale, &cellToOutputEffectiveScaleA, &cellToOutputEffectiveScaleB) inWidth packages/modules/NeuralNetworks/common/cpu_operations/Reverse.cpp widthSamplingRatio roiInfo[1] <= roiInfo[3] beginShape.type == OperandType::TENSOR_INT32 stride != 0 getSizeOfDimension(permShape, 0) getNumberOfDimensions(context->getInputShape(3)) getSizeOfDimension(recurrentWeights, 1) , mReferencedSubgraphs->size()= is 0. Check failed: !nonExtensionOperandTypeIsScalar(type) helper.isValidSubgraphReference(condModelOperand) -> size_t(0) Sliced model fails validate(): weight_shape.dimensions.size() packages/modules/NeuralNetworks/common/cpu_operations/BidirectionalSequenceLSTM.cpp input_->shape().dimensions[0] NumDimensions(fw_aux_input_to_cell_weights_) SizeOfDimension(recurrent_to_cell_weights, 1) SizeOfDimension(output_layer_norm_weights, 0) weightsScale != 0 checkWeightsShape(inputToCellWeights, inputSize) , size = ManagedBuffer::validateCopyFrom -- the updated dimensions are not fully specified: packages/modules/NeuralNetworks/driver/sample/CanonicalBuffer.cpp packages/modules/NeuralNetworks/common/include/DefaultExecution.h getrandom RSA signing test failed. passed a null parameter external/boringssl/src/crypto/bn_extra/bn_asn1.c external/boringssl/src/crypto/dsa/dsa_asn1.c , InputRHSAdj: inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 outputTensorRank outputType == OperandType::TENSOR_FLOAT16 || outputType == OperandType::TENSOR_FLOAT32 || outputType == OperandType::TENSOR_QUANT8_ASYMM || outputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED || outputType == OperandType::TENSOR_INT32 Unsupported tensor type for REDUCE_PROD or REDUCE_SUM Unsupported input operand type for select op: validateInputTypes(context, {inputType, OperandType::INT32}) inputCount == kNumInputs1 || inputCount == kNumInputs2 ashmem_get_size_region Incompatible dimensions: TENSOR_QUANT16_ASYMM OperationType{ DataLocation{.pointer= <empty memory> , .prefix= FEATURE_LEVEL_4 <valid handle> Invalid DeviceType operandTypeInformation.byteSize output Request specifies has dimension , must be valid dimension index in range [0, %H:%M:%S q CompilationBuilder::finish with CPU fallback ANeuralNetworksCompilation_addExtensionAttribute called on an ANeuralNetworksCompilation that was not created by ANeuralNetworksCompilation_createForDevices with numDevices = 1 packages/modules/NeuralNetworks/runtime/ExecutionBuilder.cpp Check failed: mPlan->isSimple() ANeuralNetworksExecution_getOutputOperandRank called before the execution has finished. { .updatedDynamicTemporary = Re-compile the model on CPU at least one output shape is unexpectedly marked !isSufficient add must be allocated ExecutionPlan::Controller failed to allocate temporaries (branchOutputOperands.size()= (size= stepIndex Cannot map step input Check failed: it != mOutputToDefiningExecutionStep.end() (step->elseBranchOutputOperands.size()= enqueueOnAppropriateDevice IDevice::prepareModel() returned nullptr without error code Cache ANeuralNetworksMemoryDesc_ Check failed: mOperand.has_value() Dimensions: Output roles [ non-zero offset and/or length for driver-allocated memory. incompatible dimensions between request and memory. (request: channelQuant.scaleCount ANeuralNetworksModel_addOperation invalid operation type (count= as this exceeds the numbe of operands ANeuralNetworksModel_addOperand passed a nullptr ANeuralNetworksModel_relaxComputationFloat32toFloat16 passed a nullptr ANeuralNetworksCompilation_setCaching passed a nullptr 0 RELU1 getSizeOfDimension(fwWeights, 1) packages/modules/NeuralNetworks/common/cpu_operations/Broadcast.cpp FusedActivationFunc::NONE packages/modules/NeuralNetworks/common/cpu_operations/Comparisons.cpp getSizeOfDimension(input, d) getNumberOfDimensions(dimsShape) getNumberOfDimensions(roiShape) Unsupported soft NMS kernel context->setOutputShape(kOutputRoiTensor, roiOutShape) packages/modules/NeuralNetworks/common/cpu_operations/HeatmapMaxKeypoint.cpp getNumberOfDimensions(inputToInputShape) getNumberOfDimensions(inputToForgetShape) QuantizeMultiplier(cellToInputEffectiveScale, &cellToInputEffectiveScaleA, &cellToInputEffectiveScaleB) PrecomputeZeroPointTimesWeightWithBias( -inputShape.offset, inputToOutputWeightsBuffer, inputToOutputWeightsShape, nullptr, &inputToOutputEffectiveBias) inHeight outputWidth packages/modules/NeuralNetworks/common/cpu_operations/Select.cpp getNumberOfDimensions(endShape) == 1 outHeight getSizeOfDimension(weights, 1) dimension Invalid zeroPoint for model output HAL version 1.0 , expected 1, 2, 5 or 6) for operation mapped to ANEURALNETWORKS_OP_FAILED operand byte size exceeds invalid zeroPoint: op::kFirstInput + bodyModelInputCount , size_t(0)= elementsToKeep.size() getSizeOfDimension(paddingsShape, 0) == numInputDims beforePadding >= 0 && afterPadding >= 0 NumOutputs(operation) NumDimensions(cell_to_input_weights) NumDimensions(input) 128 2 packages/modules/NeuralNetworks/common/cpu_operations/Reshape.cpp failed to open /dev/urandom external/boringssl/src/crypto/mem.c elliptic curve routines PKCS7 routines external/boringssl/src/crypto/rsa_extra/rsa_asn1.c external/boringssl/src/crypto/evp/p_x25519.c std::get<Operand::SymmPerChannelQuantParams>( context->getInputExtraParams(kFilterTensor)) .channelDim validateInputTypes(context, {inputType, scalarType}) bias_len packages/modules/NeuralNetworks/common/types/operations/src/HeatmapMaxKeypoint.cpp packages/modules/NeuralNetworks/common/types/operations/src/Softmax.cpp Unsupported input operand type for STRIDED_SLICE op: validateOutputTypes(context, outputTypes) packages/modules/NeuralNetworks/common/types/src/TypeUtils.cpp LSTM SVDF MAXIMUM , .whilePerformance= Model::OperandValues{< , .operandValues= <invalid handle> <AHardwareBuffer blob> !subgraph.operations.empty() iter == sortedIndexes.end() modelRank == 0 || operand.dimensions[i] == 0 || requestArgument.dimensions[i] == operand.dimensions[i] role.ioIndex modelOperand.type with an invalid zeroPoint static_cast<uint64_t>(location.offset) + location.length POINTER with a non-zero poolIndex inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM packages/modules/NeuralNetworks/common/types/operations/src/QuantizedLSTM.cpp __cxa_guard_acquire cannot allocate __cxa_eh_globals %Lf Mar PM recursive_mutex constructor failed random_device got EOF The expression contained an invalid escaped character, or a trailing escape. The expression contained an invalid character range, such as [b-a] in most encodings. R carriage-return plus-sign right-brace s three xdigit ANeuralNetworksExecution_setInputFromMemory called after the execution has started. validateOutputShapesFromDriver(status, mModel, outputShapes) Check failed: mState != State::COMPLETED sourceOperandIndex = ( std::any_of(shapes.begin(), shapes.end(), [](const OutputShape& shape) { return !shape.isSufficient; }) ( , step->outerOutputOperands.size()= outerBuffer->getSize() size_t(1) (stepIndex= findNextDeviceToProcess: Check failed: lifetime == Operand::LifeTime::TEMPORARY_VARIABLE || lifetime == Operand::LifeTime::SUBGRAPH_OUTPUT ] Unrecognized version can't modify after finished ANeuralNetworksMemory_copy -- unable to map memory offset + length <= kSize Data pointer must be nullptr if and only if length is zero (data = setOperandValue ANeuralNetworksModel_identifyInputsAndOutputs inputs ANeuralNetworksCompilation_create passed an unfinished or invalid model ANeuralNetworksMemory_createFromDesc passed a nullptr ANeuralNetworksMemory_createFromFd passed a nullptr mError (0= numOutputs == kNumOutputsMerged || numOutputs == kNumOutputsMergedWithState getNumberOfDimensions(bwRecurrentWeights) getSizeOfDimension(fwBias, 0) getNumberOfDimensions(auxInput) getSizeOfDimension(bwAuxWeights, 1) allocation failure output type: Unsupported tensor type inputIndex context->getInputValue<float>(kScaleXScalar) context->getInputValue<float>(kScoreThresholdScalar) context->getInputValue<_Float16>(kScaleHScalar) > 0 heatmapSize boxesShape.scale packages/modules/NeuralNetworks/common/cpu_operations/Pack.cpp 1U !context->isOmittedInput(tensor) QuantizeMultiplier(inputLayerNormShape.scale, &inputLayerNormScaleA, &inputLayerNormScaleB) QuantizeMultiplier(cellToForgetEffectiveScale, &cellToForgetEffectiveScaleA, &cellToForgetEffectiveScaleB) PrecomputeZeroPointTimesWeightWithBias( -inputShape.offset, inputToCellWeightsBuffer, inputToCellWeightsShape, nullptr, &inputToCellEffectiveBias) !context->isOmittedOutput(kOutputTensor) context->setOutputShape(kOutputStateOutTensor, outputStateOutTensor) getNumberOfDimensions(recurrentWeights) Completed run normally , mModelPoolInfos->size()= indexes.size() style=filled fillcolor=black fontcolor=white NO n -> d Index: Invalid input tensor type Validation failed for IF condition operand operand.dimensions.size() validateControlFlowOperandUnknownSize(helper, outerOperand) origOperandIndexToSlicedIndex noncompliant output processing created Check failed: isCompliantVersion(minimumSupportedOperandVersion, kSlicedVersion) Check failed: newOperandValues != nullptr , model.extensionNameToPrefix.size()= *left_shift >= 0 getNumberOfDimensions(paddingsShape) == 2 getSizeOfDimension(blockSizeShape, 0) == 2 Check failed: !mIsError packages/modules/NeuralNetworks/common/QuantUtils.h NumInputsWithValues(operation, operands) == 3 SizeOfDimension(input_to_forget_weights, 1) packages/modules/NeuralNetworks/common/cpu_operations/RNN.cpp SizeOfDimension(weights_time, 0) Check failed: bufferWrapper != nullptr external/boringssl/src/crypto/fipsmodule/rsa/rsa_impl.c AES-CBC-encrypt KAT CTR-DRBG failed. Diffie-Hellman routines external/boringssl/src/crypto/evp/p_ec_asn1.c external/boringssl/src/crypto/dsa/dsa.c inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED packages/modules/NeuralNetworks/common/types/operations/src/LogSoftmax.cpp packages/modules/NeuralNetworks/common/types/operations/src/Reduce.cpp packages/modules/NeuralNetworks/common/types/operations/src/StridedSlice.cpp Unsupported input operand type for UNIDIRECTIONAL_SEQUENCE_LSTM op: validateInputTypes(context, {inputType, inputType, inputType, inputType, inputType, OperandType::INT32, OperandType::INT32}) packages/modules/NeuralNetworks/common/types/src/OperationsValidationUtils.cpp expectedTypes.size() FLOAT16 NO_VALUE SPACE_TO_BATCH_ND RESOURCE_EXHAUSTED_PERSISTENT FusedActivationFunc{ , .operations= FEATURE_LEVEL_6 Unknown{.handle= Check failed: fd.ok() referenced.size() for input RequestArgument nameIter == names.end() isOutput && allowUnspecifiedOutput Model has dimension operand.zeroPoint for IF then model poolSizes[location.poolIndex] Unexpected poolIndex Unexpected offset packages/modules/NeuralNetworks/common/types/operations/src/SimpleMath.cpp filterType != OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL || std::get<Operand::SymmPerChannelQuantParams>(context->getInputExtraParams(1)) .channelDim == 0 %s %5d %5llu %c %-8s: bkmgtpe terminating Mon Feb Jun The expression contained an invalid collating element name. There was insufficient memory to determine whether the regular expression could match the specified character sequence. I S b comma j period alpha basic_string ANeuralNetworksMemoryDesc_addInputRole passed an invalid input index ANeuralNetworksExecution_setTimeout called after the execution has started. SimpleExecutionBuilder::computeInternal CompoundExecutionBuilder::computeInternal (from plan, iteratively) ( validateOutputShapesFromDriver(executionResultCode, mModel, from) updateOutputShapes checking to see if output# StepExecutor::StepExecutor with output preparedModel->configureExecutionBurst() failed with controller->mSourceOperandToInputIndex.count(outputOperand) size unexpected state when expecting getCacheHandles failure ( debug.nn.partition Failed to open or create using an uninitialized memory as input Invalid state: ANeuralNetworksModel_addOperand exceed max operands ANeuralNetworksModel_setOperandValue setting operand ANeuralNetworks_getDeviceCount passed a nullptr ANeuralNetworksExecution_getOutputOperandDimensions passed a nullptr ANeuralNetworksExecution_setReusable passed a nullptr Check failed: info != nullptr Check failed: getExtensionOperandTypeInfo(type, &info) Unsupported tensor type for operation RELU6 is omitted getSizeOfDimension(fwAuxWeights, 1) numBatches context->setOutputShape(kOutputTensor, outputShape) getNumberOfDimensions(scoreShape) == 2 context->getInputValue<_Float16>(kScoreThresholdScalar) >= 0 -numDimensions handleNegativeAxis(inputShape, &axis) LOGICAL_OR firstInputTensorRank + 1 getNumberOfDimensions(cellToInputShape) getSizeOfDimension(cellLayerNormShape, 0) QuantizeMultiplier(inputToCellEffectiveScale, &inputToCellEffectiveScaleA, &inputToCellEffectiveScaleB) QUANTIZED_LSTM SetShape(input1, &output) indexedOutput.indexToFlatIndex(outputIndex, &outputOffset) packages/modules/NeuralNetworks/common/cpu_operations/TopK_V2.cpp packages/modules/NeuralNetworks/common/cpu_operations/Transpose.cpp strideHeight Check failed: to.buffer == nullptr CpuExecutor::executeWhileOperation: timed out after , innerOperand.length= index.size() >= strides.size() type.dimensions == nullptr 0.f (used.size()= packages/modules/NeuralNetworks/common/QuantUtils.cpp NumDimensions(bw_aux_input_to_input_weights_) dimsB[0] packages/modules/NeuralNetworks/common/cpu_operations/Cast.cpp packages/modules/NeuralNetworks/common/cpu_operations/EmbeddingLookup.cpp peephole_weights_all_or_none NumDimensions(output_gate_bias) IsNullInput(input_layer_norm_weights) NumDimensions(input_) > 1 SizeOfDimension(weights, 1) ManagedBuffer::validateRequest -- invalid buffer role. ManagedBuffer::validateCopyFrom -- the initial dimensions are not fully specified and no dimension update is provided: TLS12-KDF KAT error:%08x:%s:OPENSSL_internal:%s external/boringssl/src/crypto/evp/evp_ctx.c input_n_elements % input_size Unsupported operation scalarType == OperandType::FLOAT32 validateInputTypes(context, {OperandType::TENSOR_BOOL8, inputType, inputType}) Failed to dup the fd Check failed: handle != nullptr UNKNOWN OperandType{ EMBEDDING_LOOKUP , .timeInDriver= ...] Model contains a circular subgraph reference subgraphVersionCache->size() memorySizes.size() has number of dimensions ( success channelQuant.channelDim invalid scaleArray[ list[i] operand.dimensions.empty() packages/modules/NeuralNetworks/common/types/operations/src/MaximumMinimum.cpp <%d>%s: %.*s terminating with %s exception of type %s time_get_byname failed to construct for One of *?+{ was not preceded by a valid regular expression. L n one CompilationBuilder Cannot fall back to CPU because of an OEM operation ANeuralNetworksCompilation_addExtensionAttribute can't modify after compilation finished ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed an invalid compilation inputs and ANeuralNetworksExecution_setInputFromMemory bad index ANeuralNetworksExecution_setInputFromMemory ANeuralNetworksExecution_startComputeWithDependencies not all outputs have fully specified dimensions , new = , mInputIndexes.size()= shapes.size() == 0 DynamicTemporaries: " (newLength= Check failed: it != mOperandMap.end() step model inputs exit= offset = (mSourceOperandToLocationOfTemporary.count(innerOperand) + mSourceOperandToOutputIndex.count(innerOperand)= (step->outerOutputOperands.size()= Check failed: mBody mainModel->inputCount() failed to add operation DriverPreparedModel::execute completed DriverPreparedModel::executeFenced completed Expected Check failed: model != nullptr ANeuralNetworksMemoryDesc_addOutputRole -- output index out of range. -- incompatible dimensions. Failed to create memory from fd: Failed to allocate BLOB mode AHWB. Extra params: at index ANeuralNetworks_getDevice passed a nullptr ANeuralNetworksCompilation_createForDevices passed an invalid device set and is therefore ignored ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed a nullptr SL_ANeuralNetworksDevice_getPerformanceInfo passed unknown performanceInfoKind telemetry::onExecutionFinish called on unfinished execution is disabled Unknown extension prefix QuantizeMultiplier(realMultiplier, &outputMultiplier, &outputShift) outputShapeIndexed.indexToFlatIndex(curIndex, &outputFlatIndex) getSizeOfDimension(bias, 0) width param.padding_bottom padding_top activation QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent) roiBase[2] context->setOutputShape(kOutputClassTensor, classesOutShape) boxInfoBase[0] 4 channels PrecomputeZeroPointTimesWeightWithBias( hiddenStateZeroPoint, projectionWeightsBuffer, projectionWeightsShape, projectionBiasBuffer, &projectionEffectiveBias) roiInfo[2] * widthScale <= inWidth roiInfo[0] <= roiInfo[2] indexedInput.indexToFlatIndex(inputIndex, &inputOffset) squeezeDimsShape.type == OperandType::TENSOR_INT32 current >= 0 && current < numInputDims && getSizeOfDimension(inputShape, current) == 1 getSizeOfDimension(stridesShape, 0) == numInputDims STRIDED_SLICE static_cast<uint32_t>(k) numInputDims permData[idx] >= 0 && permData[idx] < static_cast<int32_t>(numInputDims) ConvTranspose size is too large, not enough memory Check failed: poolInfos != nullptr label=" out of the range [0, validateQuantSymmParams(type, tag) invalid operand dimensions Condition operand must be a singleton a.type == b.type (elements->size()= batches % (blockSizeData[0] * blockSizeData[1]) == 0 NumDimensions(fw_aux_input_to_input_weights_) SizeOfDimension(bw_aux_input_to_output_weights_, 1) SizeOfDimension(cell_to_input_weights, 0) NumDimensions(cell_to_output_weights) SizeOfDimension(forget_gate_bias, 0) NumDimensions(projection_weights) NumDimensions(input_layer_norm_weights) cellClipOperand.length >= sizeof(_Float16) baseShape.type == exponentShape.type SizeOfDimension(prevCellState, 1) packages/modules/NeuralNetworks/common/BufferTracker.cpp NIST P-256 bignum routines UI routines COMP routines a+ does not match output tensor scale validateInputTypes( context, {inputType, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32}) firstAxisInclusive getNumInputs() Check failed: !isNonExtensionScalar(type) OTHER CAST ROI_POOLING MemoryPreference{.alignment= ERROR non-null pointer> <valid fd> packages/modules/NeuralNetworks/common/types/src/Validation.cpp handle->ok() referencedSubgraphs.size() input or output index out of range: Operand operandValueKnown[k] typeIter == types.end() Scalar data has dimensions of rank context->getNumInputs() == 7 && context->getNumOutputs() == 2 packages/modules/NeuralNetworks/common/types/operations/src/BidirectionalSequenceLSTM.cpp %s:%u] Fri October space print packages/modules/NeuralNetworks/runtime/CompilationBuilder.cpp ANeuralNetworksExecution_setInput ANeuralNetworksExecution_setOutput called when an output has already been provided ANeuralNetworksExecution_enableInputAndOutputPadding called after an input or output is set. CompoundExecutionBuilder::computeFencedInternal (from plan, iteratively) isUpdatable(to->at(i).dimensions, from[i].dimensions) cpuFallbackFull , mOutputIndexes.size()= Check failed: temp.paddedLength % temp.padding == 0 ExecutionPlan::SimpleBody::finish: compilation finished successfully on Attempting to read an operand that has no value from operand redefines temporary operand , mainModel->inputCount()= step->thenBranchInputOperands.size() getSupportedOperations failed with code Check failed: execution != nullptr debug.nn.syncexec-cpu debug.nn.syncexec-runtime Scale: dimensions == mUpdatedDimensions NULLPTR , minimum length expected: ANeuralNetworksModel_addOperation exceed max operations packages/modules/NeuralNetworks/runtime/Event.h , which is therefore disabled prefix=0 does not correspond to an extension Unsupported tensor type for operation TANH incorrect scale / offset for output getNumberOfDimensions(bwHiddenState) getSizeOfDimension(bwRecurrentWeights, 0) Unsupported tensor type for operation SUB input.type == filter.type getSizeOfDimension(filter, 3) RSQRT FILL kRoiDim * numClasses getSizeOfDimension(imageInfoDataShape, 0) context->getInputValue<float>(kScaleHScalar) maxClassesPerDetection checkAsInt(inputDim) MAX_POOL_2D getNumberOfDimensions(inputToOutputShape) getNumberOfDimensions(cellToOutputShape) getSizeOfDimension(cellGateBiasShape, 0) getSizeOfDimension(outputGateBiasShape, 0) RESIZE_NEAREST_NEIGHBOR outputHeight n_dims 1 TOPK_V2 !context->isOmittedOutput(kCellStateOutTensor) getSizeOfDimension(hiddenState, 1) CpuExecutor::initializeRunTimeInfo (poolIndex= nanoseconds (nanoseconds= , expected 4) for operation invalid dimensions for scalar type ) for operation validateBranchOperand(operands[inputs[op::kElseModelOperand]]) ANEURALNETWORKS_WHILE must have at least 1 output vs ModelUtils OperationsUtils SizeOfDimension(bw_recurrent_to_output_weights_, 0) SizeOfDimension(fw_aux_input_to_cell_weights_, 1) params->proj_clip >= 0 SizeOfDimension(input_to_forget_weights, 0) layer_norm_weights_all_or_none_cifg inputRank == 2 || inputRank == 3 SizeOfDimension(prevOutput, 0) weightsScale / 128.0 SizeOfDimension(weights, 0) sample::Device::allocate -- not enough memory. mTokenToBuffers.size() sample::PreparedModel::execute timing = Check failed: kPreparedModel != nullptr external/boringssl/src/crypto/fipsmodule/bn/random.c external/boringssl/src/crypto/fipsmodule/ecdsa/ecdsa.c EVP_AEAD_CTX_init for AES-128-GCM failed. validateInputTypes(context, {inputType, OperandType::INT32, OperandType::INT32}) filterType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL || filterType == inputType does not match validateInputTypes(context, {inputType, OperandType::TENSOR_INT32, OperandType::BOOL}) validateInputTypes(context, { inputType, OperandType::TENSOR_INT32, }) Cannot map ashmem memory Unable to map non-blob AHardwareBuffer memory HASHTABLE_LOOKUP RESHAPE GROUPED_CONV_2D QUANTIZED_16BIT_LSTM Extension{.name= <no params> MemoryDomainToken= since epoch FEATURE_LEVEL_7 ) must not exceed Timing::timeInDriver ( (referencedSubgraphs.size()= containsIndex(i) marked as (operand OperandType::SUBGRAPH packages/modules/NeuralNetworks/common/types/operations/src/Split.cpp ' in ANDROID_LOG_TAGS ( /dev/kmsg collate_byname<char>::collate_byname failed to construct for codecvt_byname<wchar_t, char, mbstate_t>::codecvt_byname failed to construct for %a Sunday F eight newline vertical-line lower > OUTPUT_INSUFFICIENT_SIZE: Check failed: mDevice != nullptr Check failed: false Check failed: mReusable < output shapes vector must be of length to.size() ExecutionCallback::setOnFinish -- object already has a "finish" callback Check failed: kind == INPUT Check failed: !containsUnknownSize(step->condInputOperands) : iteration (step->condInputOperands.size()= step->bodyInputOperands.size() , step->condInputOperands.size()= controller->mSourceOperandToLocationOfTemporary2.count(outputOperand) has an unexpected extraParams variant: Manager DeviceManager::DeviceManager open , current runtime version supported: ANeuralNetworksMemoryDesc_addInputRole -- input index out of range. but ANeuralNetworksModel_finish called more than once ANeuralNetworksModel_identifyInputsAndOutputs Can't set input or output to be ANeuralNetworksBurst is already being used in another call to ANeuralNetworksExecution_burstCompute ANeuralNetworksExecution_setInput passed a nullptr SL_ANeuralNetworksDevice_getVendorExtensionCount passed a nullptr Cannot find operand type getNumberOfDimensions(input) getSizeOfDimension(auxInput, 1) handleNegativeAxis(input, &axis) EQUAL GREATER getNumberOfDimensions(imageInfoShape) getSizeOfDimension(bboxDeltasShape, 0) getSizeOfDimension(bboxDeltasShape, 1) context->getInputValue<_Float16>(kScaleWScalar) > 0 generateProposalsFloat32Compute( scoresData, scoresShape, bboxDeltasData, bboxDeltasShape, anchorsData, anchorsShape, imageInfoData, imageInfoShape, heightStride, widthStride, preNmsTopN, postNmsTopN, iouThreshold, minSize, useNchw, &scoresOut_float32, &roiOut_float32, &batchesOut) std::numeric_limits<typeof(params->inputs_count)>().max() PrecomputeZeroPointTimesWeightWithBias( -prevOutputShape.offset, recurrentToInputWeightsBuffer, recurrentToInputWeightsShape, nullptr, &recurrentToInputEffectiveBias) PrecomputeZeroPointTimesWeightWithBias( -prevOutputShape.offset, recurrentToOutputWeightsBuffer, recurrentToOutputWeightsShape, nullptr, &recurrentToOutputEffectiveBias) Unsupported tensor type for operation REDUCE_SUM packages/modules/NeuralNetworks/common/cpu_operations/ResizeImageOps.cpp getNumberOfDimensions(sizeShape) beta packages/modules/NeuralNetworks/common/cpu_operations/Squeeze.cpp getNumberOfDimensions(beginShape) == 1 packages/modules/NeuralNetworks/common/cpu_operations/UnidirectionalSequenceLSTM.cpp CpuExecutor mModelPoolInfos->size() Incomplete operation registration: Invalid index: is out of range for shape: extensionOperandTypeInfo != nullptr zeroPoint is not zero Check failed: helper.getSubgraphOutputOperand != nullptr (model.main.operands.size() == 0) used.size() getNumberOfDimensions(keyShape) == 1 NumDimensions(fw_recurrent_to_output_weights_) getLinkingMode(has_aux_input, has_fw_aux_weights, &linkingMode) NumDimensions(cell_layer_norm_weights) cellClipOperand.length >= sizeof(float) rankOperand.length >= sizeof(int) JUST_AN_EXAMPLE setRunTimePoolInfosFromCanonicalMemories failed executeFenced timingSinceLaunch = external/boringssl/src/crypto/fipsmodule/bn/bn.c P-521 context->getInputType(kInputPaddingTensor) packages/modules/NeuralNetworks/common/types/operations/src/Pack.cpp axisScalarType libandroid.so BUSY CONSTANT_REFERENCE PRELU , .byteSize= , .channelDim= Operation{.type= type Invalid DeviceStatus bufferRole.probability location.length requestArgumentCount Request -- Operand is not a valid subgraph reference operand.zeroPoint >= 0 && operand.zeroPoint <= 255 operand.zeroPoint >= 0 && operand.zeroPoint <= 65535 is underspecified (can't be 0) context->getNumInputs() == 3 && context->getNumOutputs() == 1 (context->getNumInputs() == 12 || context->getNumInputs() == 9) && context->getNumOutputs() == 1 packages/modules/NeuralNetworks/common/types/operations/src/Tile.cpp %A graph %u %ld ANeuralNetworksCompilation_setCaching can't modify after compilation finished ExecutionBuilder::ExecutionBuilder with ANeuralNetworksExecution_setOutputFromMemory bad index == but has length shape unexpectedly has zero rank model inputs ExecutionStep::finishStepModel: finishing step model with no inputs or no outputs : while cond= , 1u= mSourceOperandToLocationOfTemporary.count(innerOperand) + mSourceOperandToOutputIndex.count(innerOperand) Check failed: mState == EMPTY Check failed: operand.lifetime == Operand::LifeTime::SUBGRAPH IExecution::compute() error: Setting argument with invalid length: (offset: , offset: type.dimensionCount operand.lifetime Operations were already sorted into run order. mOperations.size() SL_ANeuralNetworksCompilation_setCachingFromFds passed a nullptr SL_ANeuralNetworksDevice_forEachOperandPerformanceInfo passed a nullptr ErrorStatus::NONE TypeManager prefix a.name padding_bottom Error converting a non-4-D tensor to NCHW layout QuantizeMultiplier(real_multiplier, &output_multiplier, &exponent) SetShape(input, &output) context->setOutputShape(kOutputBatchesTensor, batchesOutShape) checkAsInt(outputSize) packages/modules/NeuralNetworks/common/cpu_operations/Pooling.cpp getSizeOfDimension(recurrentToInputShape, 1) getSizeOfDimension(recurrentToCellShape, 0) handleNegativeAxis(inputRank, &axis) REDUCE_MAX REDUCE_ANY wRoiStart <= inWidth Condition and input tensor dimensions are not equal context->setOutputShape(kStateOutputTensor, outputStateShape) in packages/modules/NeuralNetworks/common/GraphDump.cpp Invalid output tensor type Check failed: helper.getSubgraphInputOperand != nullptr Operand is not a valid subgraph reference a.zeroPoint compatible(inputOperand, outputOperand) packages/modules/NeuralNetworks/common/ModelUtils.cpp , subgraphs.size()= packages/modules/NeuralNetworks/common/TokenHasher.cpp cellOperand.length >= sizeof(_Float16) SizeOfDimension(fw_aux_input_to_input_weights_, 0) SizeOfDimension(fw_aux_input_to_forget_weights_, 1) NumDimensions(bw_aux_input_to_output_weights_) dimsB.size() n_input SizeOfDimension(recurrent_to_input_weights, 0) NumDimensions(forget_gate_bias) input->scale 1. / 128.0 request.pools.size() syncWait failed external/boringssl/src/crypto/fipsmodule/bn/prime.c P-256 /dev/urandom DRBG-reseed KAT OPENSSL_internal Cipher functions external/boringssl/src/crypto/rsa_extra/rsa_crypt.c external/boringssl/src/crypto/evp/p_hkdf.c validateInputTypes( context, {inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, inputType, OperandType::INT32, OperandType::BOOL, OperandType::BOOL}) 10u + inputOffset inputShape.offset outputs, got Cannot map Unknown memory Extension OperandType CONCATENATION CONV_2D Extension OperationType ErrorStatus{ , .inputs= Check failed: path != nullptr modelRank == 0 || requestRank == modelRank channel dimension a.type WHILE must have at least 3 inputs Tensor has lifetime of size.value() operandValuesSize context->getNumInputs() == 2 && context->getNumOutputs() == 1 system/libbase/logging.cpp %s terminating with %s exception of type %s: %s locale not supported Tuesday T equals-sign v CompilationBuilder::CompilationBuilder ANeuralNetworksMemoryDesc_addInputRole passed an invalid compilation ANeuralNetworksExecution_getDuration called on an execution that has encountered an error. ANeuralNetworksExecution_setLoopTimeout input exceeds the maximum allowed updateOutputShapes.zeroSizedInput fallbackUpdateOutputShapes.zeroSizedInput startCompute ExecutionBuilder::finishComputation is called in the preparation state } packages/modules/NeuralNetworks/runtime/ModelArgumentInfo.h ExecutionCallback::bindThread -- the new thread is not joinable ExecutionCallback::setOnFinish -- ExecutionCallback has already been notified with results , dimensions = StepModelOutput (operand# : if paddedLength = from mapping output step->bodyOutputOperands.size() (controller->mSourceOperandToLocationOfTemporary2.count(outputOperand)= , Operand::LifeTime::TEMPORARY_VARIABLE= IDevice::prepareModel() error: sync wait failed, fd: Check failed: kMemory != nullptr ANeuralNetworksMemory_copy -- incompatible memory size ANeuralNetworksModel_setOperandValue setting (operand.lifetime= addOperation ANeuralNetworksModel_getSupportedOperationsForDevices passed an unfinished or invalid Model packages/modules/NeuralNetworks/common/include/CpuOperationUtils.h required input getSizeOfDimension(bwBias, 0) getSizeOfDimension(auxInput, 0) getSizeOfDimension(input, 0) getNumberOfDimensions(nhwcShape) depthwiseConvQuant8PerChannelNhwc( input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth, strideHeight, dilationWidthFactor, dilationHeightFactor, depthMultiplier, activation, output.getNhwcBuffer(), output.getNhwcShape()) roiShape.offset imageInfoShape.scale context->setOutputShape(kOutputRoiTensor, outputRoiShape) context->setOutputShape(kOutputClassTensor, outputClassShape) getSizeOfDimension(anchorsShape, 0) lengthBoxEncoding roi[0] roi[2] context->setOutputShape(kOutputScoreTensor, scoresOutShape) SameShape(firstInputTensorShape, context->getInputShape(kInputFirstTensor + inputTensorNum)) REDUCE_MIN roiInfo[1] * heightScale <= inHeight roiInfo[3] * heightScale <= inHeight hRoiEnd <= inHeight !context->isOmittedInput(kInputTensor) SQUEEZE getSizeOfDimension(context->getInputShape(3), 0) paddingTop mReferencedSubgraphs->size() OEM operation not supported for CPU execution Invalid scale for model output Unsupported input tensor type for operation Invalid number of input operands ( Check failed: operand.lifetime == Operand::LifeTime::SUBGRAPH_INPUT || operand.lifetime == Operand::LifeTime::SUBGRAPH_OUTPUT || operand.lifetime == Operand::LifeTime::TEMPORARY_VARIABLE , model.pools.size()= getNumberOfDimensions(input) == 4 SizeOfDimension(fw_aux_input_to_output_weights_, 0) dimsA[1] NumDimensions(input_to_forget_weights) num_inputs == 6 sample::Device::allocate ManagedBuffer cannot handle extension operands. BufferTracker::add -- new token = NIST P-224 AES_set_encrypt_key failed. DRBG Clear KAT RSA-sign KAT RSA-verify KAT failed. FFC DH PEM routines ENGINE routines HMAC routines - external/boringssl/src/crypto/evp/p_ed25519.c validateOutputTypes(context, {inputType}) packages/modules/NeuralNetworks/common/types/operations/src/ChannelShuffle.cpp validateInputTypes(context, inExpectedTypes) Unsupported input operand type for DEQUANTIZE op: inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 validateOutputTypes(context, {outputType}) scale inputShape.type inputCount == 11 || inputCount == 10 || inputCount == 8 || inputCount == 7 packages/modules/NeuralNetworks/common/types/operations/src/Quantize.cpp AVAILABLE DEPTH_TO_SPACE LSH_PROJECTION TRANSPOSE BATCH_MATMUL Priority{ true , .probability= Token added more than once memory != nullptr std::all_of(handle.fds.begin(), handle.fds.end(), [](const base::unique_fd& fd) { return fd.ok(); }) verified->size() has lifetime of dimensions.empty() role.probability expected context->getNumInputs() == 1 && context->getNumOutputs() == 1 nullptr Failed to convert errno %d to string: %d unexpected_handler unexpectedly returned condition_variable::wait: mutex not locked __next_prime overflow ctype_byname<wchar_t>::ctype_byname failed to construct for Thu exclamation-mark four zero REL Cannot fall back to CPU because of an extension operation ANeuralNetworksExecution_setInputFromMemory called when an input has already been provided an ANeuralNetworksExecution created from an ANeuralNetworksCompilation ANeuralNetworksExecution_setMeasureTiming called after the execution has started. NN_RET_CHECK failed ( syncWait failed, fd: off= ExecutionCallback::bindThread -- a thread has already been bound to this callback object 0u outputs as step model inputs Step# Unable to map operand memory pool (buffer->getSize()= , newLength = Cannot map step output packages/modules/NeuralNetworks/runtime/ExecutionPlan.h failed! No drivers able to handle sync fences, falling back to regular execution CpuPreparedModel::executeFenced wait for sync fences to signal before execution finish Check failed: memory != nullptr nullptr IBuffer for device memory. ANeuralNetworksMemory_copy -- uninitialized source memory isTensor || type->dimensionCount == 0 , length = , expected length: is not registered ANeuralNetworksModel_setOperandExtensionData data ANeuralNetworksModel_finish called on invalid model: ANeuralNetworksDevice_getVersion passed a nullptr ANeuralNetworksMemory_copy passed a nullptr 4u fwNumUnits getSizeOfDimension(fwHiddenState, 0) getNumberOfDimensions(fwAuxWeights) Unsupported tensor type for operation ADD Unsupported tensor type for operation DIV ADD output.initialize(outputData, outputShape) depthwiseConvNhwc(unsignedInput.data(), inputShape, unsignedFilter.data(), filterShape, biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth, strideHeight, dilationWidthFactor, dilationHeightFactor, depthMultiplier, activation, unsignedOutput.data(), outputShape) packages/modules/NeuralNetworks/common/cpu_operations/Elementwise.cpp numBoxes boxInfoBase[1] radius mode == kModeReflect || mode == kModeSymmetric filter_width getSizeOfDimension(inputToCellShape, 1) getSizeOfDimension(outputStateShape, 1) PrecomputeZeroPointTimesWeightWithBias( -inputShape.offset, inputToForgetWeightsBuffer, inputToForgetWeightsShape, nullptr, &inputToForgetEffectiveBias) getSizeOfDimension(batchSplitShape, 0) roiInfo[2] >= 0 wRoiEnd <= inWidth heightStride !hasTensor(context, kInputLayerNormWeightsTensor) , arguments.size()= !isOmittedInput(i) , expected 3 or 2) or output operands ( Unknown ErrorStatus Validation failed for IF then model validateBodyOperand(operands[inputs[op::kBodyModelOperand]]) origOperandIndexToSlicedIndex->count(origOperandIndex) packages/modules/NeuralNetworks/common/OperationsExecutionUtils.cpp numInputElements == numOutputElements blockSizeShape.type == OperandType::TENSOR_INT32 getSizeOfDimension(filter, 0) == getSizeOfDimension(bias, 0) !IsNullInput(GetInput(operation, operands, requiredInput)) activationOperand.length >= sizeof(int32_t) handleNegativeAxis(getNumberOfDimensions(input) + 1, &axis) NumDimensions(input) >= 1 packages/modules/NeuralNetworks/common/cpu_operations/LSTM.cpp SizeOfDimension(input_to_input_weights, 1) SizeOfDimension(input_to_cell_weights, 1) NumDimensions(recurrent_to_input_weights) projClipOperand.length >= sizeof(_Float16) packages/modules/NeuralNetworks/common/cpu_operations/MaximumMinimum.cpp biasZeroPoint prevCellState->zeroPoint prepareModelFromCache not supported on sample::Device::prepareModelFromCache( Check failed: kBufferTracker != nullptr external/boringssl/src/crypto/fipsmodule/bn/montgomery.c external/boringssl/src/crypto/fipsmodule/rsa/padding.c external/boringssl/src/crypto/fipsmodule/ec/p256.c %s failed. Expected: pmull random number generator external/boringssl/src/crypto/bio/bio.c kNumInputs context->getNumOutputs() getValueType(outputType, &valueType) validateOutputTypes( context, {inputType, inputType, OperandType::TENSOR_INT32, OperandType::TENSOR_INT32}) inputTensorType packages/modules/NeuralNetworks/common/types/operations/src/Squeeze.cpp } and outputs { Extension::OperandTypeInformation{.type= , .isTensor= fds and not supported through registration isValidExtensionName(extension.name) s but the model has outputIndexes.size() with a negative scale (context->getNumInputs() == 23 || context->getNumInputs() == 27) && context->getNumOutputs() == 4 inputShape.dimensions.empty() || outputShape.dimensions.empty() || getNumberOfElements(outputShape.dimensions) == 0 || inputShape.dimensions == outputShape.dimensions yes off locale constructed with null time_put_byname failed to construct for moneypunct_byname failed to construct for Tue Aug Sep G backspace left-square-bracket blank ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed an invalid compilation ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed an invalid output index ANeuralNetworksExecution_create passed an unfinished compilation ANeuralNetworksExecution_setInput called when an input has already been provided Performing full fallback on the CPU. Check failed: !(reusable && dynamicTemporaries != nullptr) unexpected Check failed: executor != nullptr POINTER( newLength Check failed: !containsUnknownSize(step->thenBranchInputOperands) Unable to read operand next: Step# branchOutputOperands.size() , loopBodyOutputCount= : evaluating body (controller->mSourceOperandToOutputIndex.count(outputOperand)= is not a control flow operation Unexpected LogicalStep kind Invalid Model: packages/modules/NeuralNetworks/common/include/CpuExecutor.h Check failed: mFinished invalid compilation role. NOT_NULLPTR OEM data type is deprecated. Use Extensions instead. ANeuralNetworksModel_setOperandValueFromModel setting operand channelQuant.scales setOperandValueFromMemory is not recognized inputs ANeuralNetworksDevice_wait passed a nullptr ANeuralNetworksBurst_create passed a nullptr ANeuralNetworksMemoryDesc_addInputRole passed a nullptr Devices getExtensionPrefix(extensionName, &prefix) , index= , kNumberOfOperationTypes= Unsupported tensor type for operation RELU RELU6 getNumberOfDimensions(fwWeights) channels_out Unsupported filter type for operation Unsupported input spec for operation FLOOR getSizeOfDimension(bboxDeltasShape, useNchw ? 3 : 2) roi[1] boxInfoBase[3] getSizeOfDimension(projectionShape, 0) packages/modules/NeuralNetworks/common/cpu_operations/Quantize.cpp !halfPixelCenters || (halfPixelCenters && !alignCorners) heightScale getSizeOfDimension(recurrentWeights, 0) is required but missing. Invalid extraParams for model output Extension operand types are not supported strechDim == -1 current >= 0 && current < numInputDims sizeOfAxisToSplit % numOutputs == 0 (1 << 29) NumDimensions(cell_to_forget_weights) NumInputsWithValues(operation, operands) >= 15 && NumInputsWithValues(operation, operands) <= 27 , request.pools.size()= SampleBuffer::copyFrom -- unable to map src memory. external/boringssl/src/crypto/evp/p_rsa_asn1.c fopen(' validateInputTypes(context, {inputType}) inputLHSTensorType validateShapes(input, weights, bias) outputTensorShape.scale ASharedMemory_create failed FLOAT32 TENSOR_BOOL8 SOFTMAX BATCH_TO_SPACE_ND ARGMIN MISSED_DEADLINE_TRANSIENT DEAD_OBJECT , .powerUsage= , .fd= Invalid OperandType Invalid Request::Argument::LifeTime allowUnspecifiedOutput Unexpected operand type: std::holds_alternative<Operand::NoParams>(operand.extraParams) SUBGRAPH with a non-null pointer inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM packages/modules/NeuralNetworks/common/types/operations/src/Pow.cpp ANDROID_LOG_TAGS %s%s libc++abi std::bad_exception condition_variable::timed wait: mutex not locked %I:%M:%S %p The expression contained mismatched { and }. The expression contained an invalid range in a {} expression. Z left-parenthesis digit Check failed: alignment != nullptr isUpdatable(*loc->dimensions, from[i].dimensions) (step == nullptr= MEMORY output# POINTER Notified with empty output shape vector when OUTPUT_INSUFFICIENT_SIZE ExecutionPlan Failed to allocate dynamic temporaries of size Check failed: !mSuccessfulFinish Check failed: !containsUnknownSize(step->bodyOutputOperands) wait for mLastStepSyncFd , step->bodyOutputOperands.size()= to step ANeuralNetworksMemory_createFromDesc -- passed an unfinished descriptor !metadata.operand.has_value() || (metadata.operand->type == kOperand.type && metadata.operand->scale == kOperand.scale && metadata.operand->zeroPoint == kOperand.zeroPoint && metadata.operand->extraParams == kOperand.extraParams) metadata.dimensions.empty() || TypeManager::get()->isTensorType(kOperand.type) null ANeuralNetworksModel_setOperandValueFromMemory setting Extension operation type ANeuralNetworksCompilation_createForDevices passed duplicate devices ANeuralNetworksModel_identifyInputsAndOutputs passed a nullptr ANeuralNetworksExecution_startComputeWithDependencies falling back Unsupported tensor type for comparison axis getNumberOfDimensions(nchwShape) Conv size is too large, not enough memory GetQuantizedConvolutionMultiplier( inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i]) SIN validateShapes(input, weights, bias, &output) packages/modules/NeuralNetworks/common/cpu_operations/Gather.cpp getNumberOfDimensions(batchesShape) == 1 getSizeOfDimension(imageInfoDataShape, 1) getSizeOfDimension(heatmapShape, layout ? 3 : 1) packages/modules/NeuralNetworks/common/cpu_operations/InstanceNormalization.cpp inputTensorCount outputSize REDUCE_SUM roiInfo[3] >= 0 n_dims > 0 , requestPoolInfos.size()= WHILE failed. outerOperand.length operand Operand data size overflows uint32_t isValid(*index) , expected 61) or output operands ( type.dimensionCount == 0 0 <= type.zeroPoint && type.zeroPoint <= 65535 Check failed: helper.getSubgraphOutputCount != nullptr b.dimensions.size() a.extraParams == b.extraParams , model.referenced.size()= Unsupported fused activation function. getNumberOfDimensions(lookupShape) == 1 TokenHasher cellOperand.length >= sizeof(float) packages/modules/NeuralNetworks/common/cpu_operations/GroupedConv2D.cpp SizeOfDimension(recurrent_to_forget_weights, 1) columns num_inputs == 6 || num_inputs == 7 Check failed: std::holds_alternative<Request::MemoryDomainToken>(request.pools[poolIndex]) createRuntimeMemoriesFromMemoryPools -- could not map pools external/boringssl/src/crypto/fipsmodule/bn/exponentiation.c /proc/cpuinfo unknown library external/boringssl/src/crypto/bio/file.c numOutputs == kNumOutputs || numOutputs == kNumOutputsMerged || numOutputs == kNumOutputsWithState || numOutputs == kNumOutputsMergedWithState packages/modules/NeuralNetworks/common/types/operations/src/Concatenation.cpp packages/modules/NeuralNetworks/common/types/operations/src/Conv2D.cpp inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED || inputType == OperandType::TENSOR_QUANT8_SYMM || inputType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL packages/modules/NeuralNetworks/common/types/operations/src/GenerateProposals.cpp packages/modules/NeuralNetworks/common/types/operations/src/MirrorPad.cpp !dim1 || dim1 == 2 context->getOutputType(kOutputTensor) packages/modules/NeuralNetworks/common/types/operations/src/PRelu.cpp packages/modules/NeuralNetworks/common/types/operations/src/QLSTM.cpp packages/modules/NeuralNetworks/common/types/operations/src/Slice.cpp Check failed: ahwb != nullptr Check failed: !isExtension(operandType) TENSOR_FLOAT16 FULLY_CONNECTED CHANNEL_SHUFFLE OEM_OPERATION Capabilities::OperandPerformance{.type= Capabilities{.relaxedFloat32toFloat16PerformanceScalar= , .outputs= memory.handle.get() != nullptr ExtensionNamesAndPrefixes has duplicate name Model has unknown input rank but the request does not specify the rank. !inputRoles.empty() || !outputRoles.empty() !type.dimensions.empty() modelOperand.location.offset a.extraParams %m-%d %H:%M:%S %s %5d %5llu %c %-8s: %s:%u execute once failure in __cxa_get_globals_fast() std::bad_alloc Friday July An invalid regex grammar has been requested. J vertical-tab ANeuralNetworksCompilation_setPriority invalid priority ANeuralNetworksMemoryDesc_addOutputRole passed an invalid compilation SimpleExecutionBuilder::computeFencedInternal ExecutionBuilder::computeFenced !TypeManager::get()->sizeOfDataOverflowsUInt32(operandType, outputShapes[i].dimensions) unexpected ModelArgumentInfo::state Cannot fallback to CPU because at least one of the output operands has unknown shape. (initialLength= Previous error occurred when partitioning the graph step model outputs ExecutionPlan::fallback( Type (sourceOperand.lifetime= prepareModelFromCache: successfully prepared model from cache DriverDevice::allocate -- memory allocation on device IPreparedModel::execute() error: **computeFenced failed** debug.nn.strict-slicing Failed to create memory from AHWB: Failed to allocate BLOB mode AHWB: packages/modules/NeuralNetworks/runtime/ModelBuilder.cpp addOperand buffer outputs Calling getModelArchHash on non completed model NeuralNetworks ANeuralNetworksModel_getSupportedOperationsForDevices passed an empty device list ANeuralNetworksCompilation_createForDevices passed an empty device list ANeuralNetworksExecution_burstCompute passed a nullptr ANeuralNetworksMemoryDesc_create passed a nullptr ANeuralNetworksModel_getExtensionOperandType passed a nullptr ANeuralNetworksExecution_addExtensionAttribute passed a nullptr SL_ANeuralNetworksDevice_getVendorExtensionName passed a nullptr Cannot find extension corresponding to prefix Unsupported tensor type for operation getSizeOfDimension(input, 1) context->setOutputShape(kFwOutputHiddenStateTensor - delta, context->getInputShape(kFwHiddenStateTensor)) NOT_EQUAL numDimensions input.type == input0.type bias.type == OperandType::TENSOR_INT32 input.type == bias.type channels_in param.padding_top stride_width GetQuantizedConvolutionMultiplier(inputShape, filterShape, biasShape, outputShape, &real_multiplier) NEON, 4x2, depth 16, accumulating two within signed int16 getSizeOfDimension(filter, 0) param.depth_multiplier * channels_in == channels_out packages/modules/NeuralNetworks/common/cpu_operations/FullyConnected.cpp GetQuantizedConvolutionMultiplier(inputShape, weightsShape, biasShape, outputShape, &realMultiplier) getSizeOfDimension(bboxDeltasShape, useNchw ? 1 : 3) context->getInputValue<float>(kScaleYScalar) getNumberOfDimensions(boxesShape) packages/modules/NeuralNetworks/common/cpu_operations/L2Normalization.cpp filter_height getSizeOfDimension(inputToCellShape, 0) getNumberOfDimensions(recurrentToCellShape) getSizeOfDimension(cellStateShape, 0) SetShape(inputShape, &outputShape) packages/modules/NeuralNetworks/common/cpu_operations/RoiAlign.cpp inDepth hRoiEnd packages/modules/NeuralNetworks/common/cpu_operations/Slice.cpp getSizeOfDimension(inputShape, i) arguments.size() Cannot read IF condition operand value , provided = validCode(kNumberOfDataTypes, kNumberOfDataTypesOEM, type.type) type.dimensions[i] invalid scale , elementsToKeep.size()= double_multiplier < 1. n_bw_cell SizeOfDimension(input, 0) SizeOfDimension(input_weights, 1) packages/modules/NeuralNetworks/common/cpu_operations/SVDF.cpp sample::Device::getSupportedOperations ManagedBuffer::validateRequest -- incompatible dimensions ( external/boringssl/src/crypto/fipsmodule/bn/ctx.c external/boringssl/src/crypto/fipsmodule/bn/mul.c entropy fill failed SHA-1 KAT not available packages/modules/NeuralNetworks/common/types/operations/src/Activation.cpp Unsupported value type for fill op: validateInputTypes(context, {inputType, OperandType::INT32, OperandType::TENSOR_INT32}) inputPaddingTensorDim0 Can't lock the AHardwareBuffer. Error: Unable to open either libandroid.so or libcutils.so: SUBGRAPH_OUTPUT DEPTHWISE_CONV_2D LOG_SOFTMAX , .offset= <invalid MemoryDomainToken> Unknown trace flag: <non-blob AHardwareBuffer> , .name= , path->size()= Model input or output occurs multiple times: ) has already been written without a Channel Quantization params with an invalid channelQuant.channelDim inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_FLOAT16 ios_base::clear Monday Jul The complexity of an attempted match against a regular expression exceeded a pre-set level. X underscore ANeuralNetworksCompilation_setPreference invalid preference ANeuralNetworksMemoryDesc_addOutputRole passed an invalid output index ANeuralNetworksExecution_setOutputFromMemory called when an output has already been provided called on an execution that has already started Check failed: isAllocated >= (step->bodyInputOperands.size()= controller->mSourceOperandToLocationOfTemporary.count(outputOperand) Unable to get innerBuffer for operand mainModel->outputCount() operationCount = Check failed: !maybeToken.has_value() offset != 0 || length != 0 mInitialized Invalid state: UNSPECIFIED of bytes when needing ANeuralNetworksExecution_getDuration passed a bad durationCode SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation passed a nullptr NNAPI Vendor extensions enabled: GetQuantizedConvolutionMultiplier(realInputLHSShape, realInputRHSShape, outputShape, &realMultiplier) packages/modules/NeuralNetworks/common/cpu_operations/BidirectionalSequenceRNN.cpp getSizeOfDimension(bwHiddenState, 0) calculateBroadcastedShape(input1, input2, &output) LESS static_cast<uint32_t>(axis) QuantizeMultiplier(realMultiplier, &outputMultiplier, &exponent) getSizeOfDimension(batchesShape, 0) context->getInputValue<float>(kScaleWScalar) context->getInputValue<_Float16>(kScaleXScalar) > 0 bboxTransformFloat32(roi_float32.data(), roiShape, delta_float32.data(), bboxDeltasShape, batchesData, batchesShape, imageInfo_float32.data(), imageInfoDataShape, output_float32.data(), outputShape) packages/modules/NeuralNetworks/common/cpu_operations/LogSoftmax.cpp AVERAGE_POOL_2D getSizeOfDimension(recurrentToForgetShape, 1) getSizeOfDimension(cellToForgetShape, 0) getSizeOfDimension(cellToOutputShape, 0) getNumberOfDimensions(projectionShape) roiAlignNhwc(input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, batchSplitData, batchSplitShape, heightStride, widthStride, heightSamplingRatio, widthSamplingRatio, output.getNhwcBuffer(), output.getNhwcShape()) (info.length= Unsupported hash tensor type for operation mapped to ErrorStatus::GENERAL_FAILURE validateQuant8SymmParams(type, tag) compatible(innerOperand, outerOperand) validateControlFlowOperandUnknownSize(helper, innerOperand) Check failed: index < static_cast<uint32_t>(outputCount) tableLookup: bad code OrigOperandToSlicedInputOperandIndex::getIndex looked for Check failed: operand != nullptr NumDimensions(input_) == 3 SizeOfDimension(fw_recurrent_to_output_weights_, 0) NumDimensions(bw_aux_input_to_forget_weights_) NumDimensions(hash) checkBiasShape(forgetGateBias) NumDimensions(prevCellState) packages/modules/NeuralNetworks/common/cpu_operations/Split.cpp packages/modules/NeuralNetworks/common/cpu_operations/Tile.cpp ManagedBuffer::updateDimensions -- incompatible dimensions ( Check failed: kBuffer != nullptr external/boringssl/src/crypto/fipsmodule/dh/check.c external/boringssl/src/crypto/fipsmodule/ec/ec_key.c BoringCrypto NA SSL routines external/boringssl/src/crypto/ex_data.c context->getNumInputs() packages/modules/NeuralNetworks/common/types/operations/src/FullyConnected.cpp first dimension does not match output tensor type inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT16_SYMM || inputType == OperandType::TENSOR_BOOL8 || inputType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL || inputType == OperandType::TENSOR_QUANT16_ASYMM || inputType == OperandType::TENSOR_QUANT8_SYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED Incorrect input type for a RANK op: numInputs >= kNumInputs && numInputs <= kNumInputs + kNumOptionalInputs packages/modules/NeuralNetworks/common/types/operations/src/Reverse.cpp validateOutputTypes(context, {inputType, OperandType::TENSOR_INT32}) validateInputTypes(context, {inputType, OperandType::TENSOR_INT32}) outExpectedInTypes.size() type == expectedTypes[i] tensor type SUBGRAPH_INPUT BOX_WITH_NMS_LIMIT SPLIT POOL Request::Argument::LifeTime{ Operand::ExtraParams{ , .extraParams= BufferRole{.modelIndex= Request::MemoryPool{ null pointer> Fd{.size= (*path)[subgraphIndex] == false (referenced.size()= input of zero , max mutex lock failed There was insufficient memory to convert the expression into a finite state machine. l left-brace z generic ANeuralNetworksCompilation_setPriority can't modify after compilation finished ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed an invalid input index ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed an unfinished compilation ANeuralNetworksExecution_setInput called after the execution has started. compute isUpdatable(mOutputs[i].dimensions(), outputShapes[i].dimensions) indexMapping.size() finished updateOutputShapes Check failed: mPreparedModel != nullptr input mOperands.size() Check failed: executionBuilder != nullptr body= mapping input 1u loopBodyOutputCount ) -> addInputRole Using Input roles [ offset == 0 && length == 0 non-zero offset ( ANeuralNetworksModel_getSupportedOperationsForDevices passed a nullptr ANeuralNetworksMemoryDesc_addOutputRole passed a nullptr ANeuralNetworksMemory_createFromAHardwareBuffer passed a nullptr ANeuralNetworksCompilation_create passed a nullptr ANeuralNetworksExecution_setOutput passed a nullptr ANeuralNetworksEvent_createFromSyncFenceFd passed an invalid fd: Registered extension TANH Check failed: input != nullptr Unsupported tensor type for operation MUL bShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &bFlatIndex) dilation_width_factor input.initialize(inputData, inputShape) getNumberOfDimensions(shape) Unsupported tensor type for operation ELU getNumberOfDimensions(bboxDeltasShape) generateProposalsFloat32Compute( score_float32.data(), scoresShape, delta_float32.data(), bboxDeltasShape, anchors_float32.data(), anchorsShape, imageInfo_float32.data(), imageInfoShape, heightStride, widthStride, preNmsTopN, postNmsTopN, iouThreshold, minSize, useNchw, &scoresOut_float32, &roiOut_float32, &batchesOut) getSizeOfDimension(cellToInputShape, 0) QuantizeMultiplier(inputToInputEffectiveScale, &inputToInputEffectiveScaleA, &inputToInputEffectiveScaleB) widthStride getNumberOfDimensions(beginShape) index = Unsupported data type: getSizeOfDimension(hiddenState, 0) CpuExecutor::executeWhileOperation: condition value: CpuExecutor::setOutputShapes: mOutputShapes[ digraph { [ REF HAL version 1.3 Utils for input , expected 12 or 9) or output operands ( extensionOperandTypeInfo == nullptr The given inputs and outputs for operation and later (validating using validateCondOperand(operands[inputs[op::kCondModelOperand]]) op::kFirstInput + condModelInputCount , used->size()= model.extensionNameToPrefix.size() double_multiplier > 0. getSizeOfDimension(paddingsShape, 1) == 2 Calling finish on an token in error state projOperand.length >= sizeof(_Float16) NumDimensions(bw_recurrent_to_output_weights_) SizeOfDimension(bw_aux_input_to_cell_weights_, 0) SizeOfDimension(cell_bias, 0) SizeOfDimension(output_gate_bias, 0) projecton_tensors_consistent == true prevOutput->scale tflite::CheckedLog2(prevCellState->scale, &stateScaleLog2Rounded) bias->zeroPoint RUY_PATHS ManagedBuffer::validateCopyTo -- invalid memory size: external/boringssl/src/crypto/fipsmodule/cipher/e_aes.c %s: getrandom indicates that the entropy pool has not been initialized. Rather than continue with poor entropy, this process will block until entropy is available. unknown error object identifier routines %llu packages/modules/NeuralNetworks/common/types/operations/src/Comparisons.cpp Unsupported tensor type for LOGICAL_NOT inputTensorShape.offset packages/modules/NeuralNetworks/common/types/operations/src/Pooling.cpp , lastAxisExclusive= inputs readSize SUSTAINED_SPEED SPACE_TO_DEPTH NONE DEVICE_UNAVAILABLE , .scale= , .referenced= SyncFence::FenceState{ ns (it->type= ints> Extension has duplicate type path->size() !operandValueKnown[k] !channelQuant.scales.empty() operand.dimensions[channelQuant.channelDim] for IF else model operand.location.length operand.zeroPoint >= -128 && operand.zeroPoint <= 127 context->getNumInputs() == 4 && context->getNumOutputs() == 1 packages/modules/NeuralNetworks/common/types/operations/src/SVDF.cpp numpunct_byname<char>::numpunct_byname failed to construct for %m/%d/%y dollar-sign right-curly-bracket tilde alnum thread::detach failed vector SL_ANeuralNetworksCompilation_setCachingFromFds can't duplicate data cache fds: ANeuralNetworksExecution_setOutput called after the execution has started. ANeuralNetworksExecution_setOutputFromMemory called after the execution has started. <= ) is a dynamic temporary loc->paddedLength < UINT32_MAX / 2 step == nullptr packages/modules/NeuralNetworks/runtime/ExecutionBuilder.h output shapes vector must be empty or of length HAS_NO_VALUE Check failed: !containsUnknownSize(step->outerInputOperands) ExecutionPlan::SimpleBody::finish: simulating failure, ResultCode : step->condInputOperands.size() No driver can do operation (step->thenBranchOutputOperands.size()= **executeFenced failed** IPreparedModel::createReusableExecution() error: -- incompatible operand metadata. ANeuralNetworksMemory_copy -- incompatible memories Check failed: src->getBuffer() != nullptr Data type: combined.has_value() compilation != nullptr for operand Operand::LifeTime::CONSTANT_REFERENCE , mOperations.size()= ANeuralNetworks_getDevice passed an invalid device index ANeuralNetworksModel_finish passed a nullptr ANeuralNetworksModel_setOperandSymmPerChannelQuantParams passed a nullptr ANeuralNetworksExecution_free passed an in-flight ANeuralNetworksExecution because of boundary operands of unknown size kMaxPrefix Operations getSizeOfDimension(bwRecurrentWeights, 1) static_cast<FusedActivationFunc>(activation) aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex) QuantizeMultiplierSmallerThanOneExp(real_input1_multiplier, &input1_multiplier, &input1_shift) Unsupported tensor type for elementwise operation getSizeOfDimension(roiShape, 1) getSizeOfDimension(roiShape, 1) == kRoiDim * numClasses anchorsShape.scale batchIndex cifgWeightsAllOrNone !hasTensor(context, kInputGateBiasTensor) getNumberOfDimensions(outputGateBiasShape) getNumberOfDimensions(outputStateShape) getNumberOfDimensions(outputLayerNormShape) QuantizeMultiplier(recurrentToForgetEffectiveScale, &recurrentToForgetEffectiveScaleA, &recurrentToForgetEffectiveScaleB) QuantizeMultiplier(cellLayerNormShape.scale, &cellLayerNormScaleA, &cellLayerNormScaleB) stride context->setOutputShape(kCellStateOutTensor, cellStateOutTensor) UNIDIRECTIONAL_SEQUENCE_RNN output operand x "] IndexedShapeWrapper scale is not zero != ANEURALNETWORKS_WHILE must have at least 3 inputs origOperandIndexToSlicedIndex initialization created looksEmpty model.main.operands.size() QuantizeMultiplier(double_multiplier, quantized_multiplier, left_shift) static_cast<int32_t>(filterWidth) mergeOutputsOperand.length >= sizeof(bool) timeMajorOperand.length >= sizeof(bool) SizeOfDimension(fw_input_to_output_weights_, 1) SizeOfDimension(fw_aux_input_to_input_weights_, 1) NumDimensions(fw_aux_input_to_output_weights_) packages/modules/NeuralNetworks/common/cpu_operations/Pow.cpp NumDimensions(bias) NN API packages/modules/NeuralNetworks/driver/sample/CanonicalBurst.cpp external/boringssl/src/crypto/fipsmodule/bn/add.c NIST P-384 RSA routines external/boringssl/src/crypto/stack/stack.c 2. packages/modules/NeuralNetworks/common/types/operations/src/BatchMatmul.cpp inputRHSTensorType Incorrect input tensor type for a BATCH_MATMUL op: Unsupported input operand type for UNIDIRECTIONAL_SEQUENCE_RNN op: Unsupported output operand type for DEQUANTIZE op: must have 1 dimension dupFd was passed an invalid fd LOW_POWER CONSTANT_COPY ARGMAX bytes>} Request{.inputs= <no duration> Ashmem{.fd= 1.0f location.pointer == kNullptrVariant CONSTANT_COPY with a non-zero poolIndex nonNull packages/modules/NeuralNetworks/common/types/operations/src/Reshape.cpp Pure virtual function called! August bad_weak_ptr The expression contained an invalid character class name. Q less-than-sign m t thread::join failed outputs synchronizationCallback and burstBuilder cannot simultaneously be used mOutputs.size() Check failed: inputOrOutputInfo->unspecified() : Setting with operand type that is not fully specified cpuFallbackPartial ] = Check failed: !containsUnknownSize(step->thenBranchOutputOperands) Check failed: isValid() finished allocating for a step SIMPLE for sourceModelIndex = , mReferencedModels.size()= Check failed: token != nullptr packages/modules/NeuralNetworks/runtime/Manager.cpp ANeuralNetworksMemoryDesc_finish -- no role has been specified. , Operand::LifeTime::CONSTANT_REFERENCE= with inputs { ANeuralNetworksModel_create passed a nullptr getSizeOfDimension(bwAuxWeights, 0) LESS_EQUAL getNumberOfDimensions(bias) effectiveFilterHeight DEQUANTIZE for operation RSQRT EXP LOG getNumberOfDimensions(batchesShape) getSizeOfDimension(roiShape, 0) == numRois getNumberOfDimensions(anchorsShape) getSizeOfDimension(deltasShape, 0) roi[3] numUnits getSizeOfDimension(recurrentToCellShape, 1) layerNormWeightsAllOrNoneCifg getNumberOfDimensions(axesShape) Unsupported tensor type for SQUEEZE op. outWidth getNumberOfDimensions(weights) packages/modules/NeuralNetworks/common/IndexedShapeWrapper.cpp , expected 3) slicedOperations.size() (current= std::abs(input_product_scale - bias_scale) <= 1e-6 * std::min(input_product_scale, bias_scale) input_product_scale >= 0 getNumberOfDimensions(valueShape) >= 2 SizeOfDimension(bw_aux_input_to_forget_weights_, 0) dimsA[0] NumDimensions(input_to_input_weights) SizeOfDimension(recurrent_to_forget_weights, 0) cifg_weights_all_or_none SizeOfDimension(input_layer_norm_weights, 0) NumDimensions(input_to_output_weights_) checkWeightsShape(recurrentToCellWeights, outputSize) checkBiasShape(cellGateBias) stateIntegerBits == 4 SizeOfDimension(input_weights, 0) P-384 HKDF failed. ECDSA-sign signature ECDSA-sign KAT failed. OPENSSLDIR: n/a aes ASN.1 encoding routines malloc failure ') external/boringssl/src/crypto/ec_extra/ec_asn1.c output.scale validateInputTypes(context, {OperandType::TENSOR_INT32, valueType}) inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED output tensor rank lastAxisExclusive (validating using ashmem_create_region is not a power of two TENSOR_INT32 BOOL RNN PAD Check failed: operandPerformance != nullptr it->type , .size= Failed to create OperandPerformanceTable: Input must be sorted by key (in ascending order), and there must be no duplicate keys Invalid sync fence handle passed to SyncFence::create / but is not included in Model input or output indexes location.padding ) different than the model's ( expectedLength IF must have at least 1 output cannot have lifetime Invalid Operand::LifeTime random_device failed to open The expression contained mismatched [ and ]. K V grave-accent slash string_view::substr ANeuralNetworksCompilation_setPreference can't modify after compilation finished ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed an unfinished compilation ANeuralNetworksMemoryDesc_addOutputRole passed an unfinished compilation ANeuralNetworksExecution_setMeasureTiming called on Fenced execution callback failed: ExecutionBuilder::compute (synchronous API) : ) packages/modules/NeuralNetworks/runtime/ExecutionPlan.cpp , paddedLength = ExecutionPlan::CompoundBody::finish -- finishStepModel failed Check failed: !containsUnknownSize(step->elseBranchOutputOperands) ExecutionPlan::SimpleBody::finish, compilation readConditionValue: Step redefines output operand , mainModel->outputCount()= ) = )->declareModelOutputIsDownstreamInput(mSourceOperandToOutputIndex.at packages/modules/NeuralNetworks/common/include/LegacyUtils.h step->elseBranchOutputOperands.size() Check failed: typeManager->isTensorType(sourceOperand.type) Before mBurstExecution->compute() CpuExecution::computeFenced wait for sync fences to signal before execution Found interface data cache handles, got ANeuralNetworksMemoryDesc_setDimensions -- incompatible dimensions for scalars. metadata.logicalSize == 0 || metadata.logicalSize == TypeManager::get()->getSizeOfData(kOperand.type, combined.value()) Saving large value invalid operand type ANeuralNetworksModel_getSupportedOperationsForDevices passed duplicate devices ANeuralNetworksCompilation_setPriority passed a nullptr Unsupported tensor type for operation RELU1 QuantizeMultiplier(output_multiplier, &output_multiplier_fixedpoint_int32, &params.output_multiplier_exponent) Input tensor rank should be at most 4. getLinkingMode(context, &linkingMode) getNumberOfDimensions(fwHiddenState) getSizeOfDimension(fwRecurrentWeights, 1) ABS kRoiDim roiBase[1] packages/modules/NeuralNetworks/common/cpu_operations/LocalResponseNormalization.cpp Unsupported tensor type for operation AVERAGE_POOL_2D peepholeWeightsAllOrNone Unsupported tensor type for operation REDUCE_MAX hRoiStart SameShape(input1, input2) packages/modules/NeuralNetworks/common/cpu_operations/TransposeConv2D.cpp IF failed. !isOmittedOutput(i) getInputInfo(i)->dimensions[j] COPY [shape=box GraphDump A scalar type can never have unspecified dimensions , operandCount Wrong operand count: expected , expected 1) for operation validateQuant8AsymmParams(type, tag) Incompatible dimensions validateConditionOperand(*helper.getSubgraphOutputOperand(condModelOperand, 0)) , model.main.operands.size()= Dimensions mismatch for broadcast: packages/modules/NeuralNetworks/common/cpu_operations/ArgMinMax.cpp NumDimensions(fw_aux_input_to_forget_weights_) SizeOfDimension(hash, 1) <= 32 SizeOfDimension(cell_to_forget_weights, 0) weightsScale sample::Device::allocate -- does not support extension type. external/boringssl/src/crypto/fipsmodule/bn/sqrt.c external/boringssl/src/crypto/fipsmodule/digest/digest.c external/boringssl/src/crypto/fipsmodule/ecdh/ecdh.c <unknown> AES-GCM-encrypt KAT Trust Token functions overflow algorithm %d Provided only one dilation factor value, two values are requred for operation packages/modules/NeuralNetworks/common/types/operations/src/Elementwise.cpp bias.type == input.type packages/modules/NeuralNetworks/common/types/operations/src/Gather.cpp packages/modules/NeuralNetworks/common/types/operations/src/L2Normalization.cpp getNumberOfDimensions(inputPaddingTensorShape) outputShape.offset has inconsistent rank !inputTensorRank || !outputTensorRank || inputTensorRank == outputTensorRank Unable to map nullptr SharedMemory object Check failed: multiple != 0 Check failed: (multiple & (multiple - 1)) == 0 GPU INT32 TENSOR_QUANT8_SYMM_PER_CHANNEL BIDIRECTIONAL_SEQUENCE_LSTM NEG TILE MIRROR_PAD Timing{.timeOnDevice= , extensionNameToPrefix= <no time point> performanceInfo.powerUsage , subgraphVersionCache->size()= operandValueKnown[i] location.poolIndex channelQuant.scales[i] type.dimensions.empty() cannot create thread specific key for __cxa_get_globals() terminate_handler unexpectedly threw an exception terminating with %s foreign exception bad_array_new_length Saturday Sat E ampersand d future unique_lock::unlock: not locked ANeuralNetworksCompilation_addExtensionAttribute called more than once for the same attribute Check failed: mPlan->isCompound() ANeuralNetworksExecution_setOutput bad index ): ANeuralNetworksExecution_enableInputAndOutputPadding called after the execution has started. ExecutionBuilder::compute (synchronous API, burst) , dynamicTemporaries == nullptr= mState at least one output shape must have been marked !isSufficient , POINTER= initialLength )::declareModelOutputIsDownstreamInput( of source graph) has unknown size: Check failed: !containsUnknownSize(step->outerOutputOperands) ): mFallbackNextStepIndex = sizeof(bool8) step->outerInputOperands.size() (controller->mSourceOperandToInputIndex.count(outputOperand)= ModelBuilder::partitionTheWork: source model: IPreparedModel::executeFenced() error: ANeuralNetworksModel_setOperandValueFromModel value model is invalid ANeuralNetworksModel_setOperandSymmPerChannelQuantParams setting extension data for a base operand type relaxComputationFloat32toFloat16 ModelBuilder::finish ANeuralNetworksExecution_setInputFromMemory passed a nullptr ANeuralNetworksModel_getExtensionOperationType passed a nullptr getExtensionInfo(prefix, &extension) packages/modules/NeuralNetworks/common/cpu_operations/Concatenation.cpp param.padding_right gemmlowp error: %s SQRT numAnchors * kRoiDim context->getInputValue<float>(kIoUThresholdScalar) delta_nhwc.initialize(bboxDeltasData, bboxDeltasShape) BBoxTransform step failed in GENERATE_PROPOSALS op. context->setOutputShape(kOutputScoreTensor, outputScore) LOGICAL_AND checkAsInt(outputDim) getSizeOfDimension(inputLayerNormShape, 0) QuantizeMultiplier(recurrentToCellEffectiveScale, &recurrentToCellEffectiveScaleA, &recurrentToCellEffectiveScaleB) PrecomputeZeroPointTimesWeightWithBias( -inputShape.offset, inputToInputWeightsBuffer, inputToInputWeightsShape, nullptr, &inputToInputEffectiveBias) PrecomputeZeroPointTimesWeightWithBias( -prevOutputShape.offset, recurrentToForgetWeightsBuffer, recurrentToForgetWeightsShape, nullptr, &recurrentToForgetEffectiveBias) RESIZE_BILINEAR getNumberOfDimensions(axisShape) getSizeOfDimension(beginShape, 0) sliceSize filterHeight Unsupported data type Insufficient size for model operand: require = Size of extension operand data is unknown , expected validateNoQuantParams(type, tag) type.zeroPoint b.dimensions[i] condModelOutputCount bodyModelInputCount (looksEmpty= q_fixed <= (1LL << 31) getNumberOfDimensions(blockSizeShape) == 1 getNumberOfDimensions(filter) == 4 n_fw_cell aux_input_->shape().dimensions[1] SizeOfDimension(bw_aux_input_to_forget_weights_, 1) SizeOfDimension(bw_aux_input_to_output_weights_, 0) NumDimensions(cell_bias) layer_norm_weights_all_or_none NumDimensions(prevOutput) SizeOfDimension(recurrent_weights, 1) num_filters % rank sample::Device::allocate -- BufferTracker returned invalid token. executeFenced timingAfterFence = ECDSA KeyGen failed BoringSSL DSA routines external/boringssl/src/crypto/bn_extra/convert.c r kNumOutputs filterRank second dimension must be 2 but is outputTensorShape.offset FAST_SINGLE_ANSWER DeviceType{ TENSOR_FLOAT32 LOCAL_RESPONSE_NORMALIZATION RANDOM_MULTINOMIAL TRANSPOSE_CONV_2D INVALID_ARGUMENT memory.fd.ok() !isNonExtensionScalar(opType) || dimensions.empty() , length Unexpected pointer value for operand of lifetime %s%.*s January Jan The expression contained mismatched ( and ). circumflex question-mark system ro.build.version.sdk SL_ANeuralNetworksCompilation_setCachingFromFds can't duplicate model cache fds: ANeuralNetworksCompilation_setTimeout can't modify after compilation finished ANeuralNetworksExecution_setOutputFromMemory getDuration( ANeuralNetworksExecution_getOutputOperandDimensions called before the execution has finished. Check failed: synchronizationCallback == nullptr || burstBuilder == nullptr ExecutionBuilder::compute (asynchronous API) updateOutputShapes skipping redeclaration for output# shapes.size() == 0 || shapes.size() == model->outputCount() std::all_of(shapes.begin(), shapes.end(), [](const OutputShape& shape) { return shape.isSufficient; }) packages/modules/NeuralNetworks/common/types/include/nnapi/TypeUtils.h UNSPECIFIED ExecutionCallback DynamicTemporaries: sourceOperandIndex = DynamicTemporaries::declare(sourceOperandIndex = Check failed: mDeclared Check failed: state.stage == WhileState::EVALUATE_BODY (step->bodyOutputOperands.size()= ModelBuilder::partitionTheWork: only one best device: Ignored interface cache file MemoryBuilder::allocate -- fallback to BLOB mode AHWB. MemoryDescriptor end ), minimum length expected: can't modify an invalid model Extension operand type outputCount ANeuralNetworksDevice_getType passed a nullptr ANeuralNetworksCompilation_setPreference passed a nullptr ANeuralNetworksCompilation_getPreferredMemoryAlignmentForOutput passed a nullptr SL_ANeuralNetworksDevice_getPerformanceInfo passed a nullptr it != extension->operandTypes.end() && static_cast<uint16_t>(it->type) == typeWithinExtension in extension a.operandTypes == b.operandTypes LOGISTIC Check failed: output != nullptr getNumberOfDimensions(fwBias) getNumberOfDimensions(input2) SUB outputShapeIndexed.nextIndexInplace(&curIndex, &lastIndex) convQuant8PerChannelNhwc( input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth, strideHeight, dilationWidthFactor, dilationHeightFactor, activation, output.getNhwcBuffer(), output.getNhwcShape()) packages/modules/NeuralNetworks/common/cpu_operations/GenerateProposals.cpp imageInfoDataShape.offset getNumberOfDimensions(deltasShape) getNumberOfDimensions(heatmapShape) getSizeOfDimension(boxesShape, 0) context->setOutputShape(kOutputKeypointTensor, outputKeypoint) packages/modules/NeuralNetworks/common/cpu_operations/LogicalAndOr.cpp getSizeOfDimension(inputToOutputShape, 1) getSizeOfDimension(inputToInputShape, 1) getSizeOfDimension(cellStateShape, 1) layerNormWeightsAllOrNone QuantizeMultiplier(projectionEffectiveScale, &projectionEffectiveScaleA, &projectionEffectiveScaleB) numInputDims <= 4 subgraphIndex // TODO(b/147661714): Add subgraph support to GraphDump UNKNOWN HAL version HAL version 1.1 HalVersion{ -1 Unsupported input tensor rank for operation Validation failed for WHILE body model Sliced model fails validate(): insufficient version ( paddingsShape.type == OperandType::TENSOR_INT32 getSizeOfDimension(filter, 0) % numGroups == 0 static_cast<int32_t>(filterHeight) IsNullInput(fw_aux_input_to_input_weights_) && IsNullInput(bw_aux_input_to_input_weights_) NumDimensions(input_to_cell_weights) n_output SizeOfDimension(forget_layer_norm_weights, 0) SizeOfDimension(cell_layer_norm_weights, 0) NumDimensions(output_layer_norm_weights) SizeOfDimension(recurrent_to_output_weights_, 0) checkWeightsShape(inputToForgetWeights, inputSize) weights->scale activationOperand.length >= sizeof(int) sample::Device::allocate -- does not support dynamic output shape. SampleBuffer::copyTo -- unable to map dst memory. executeFenced( external/boringssl/src/crypto/fipsmodule/ec/wnaf.c external/boringssl/src/crypto/fipsmodule/hkdf/hkdf.c AES_set_decrypt_key failed. AES-CBC-decrypt KAT CRYPTO_tls13_hkdf_expand_label RSA key construction failed FFDH failed. configuration file routines FILE pointer w Unsupported tensor type for operation FLOOR must have 2 dimensions getNumberOfDimensions(inputAxisTensorShape) Unsupported input operand type for SQUEEZE op: packages/modules/NeuralNetworks/common/types/operations/src/UnidirectionalSequenceRNN.cpp Can't mmap the file descriptor. ExecutionPreference{ L2_NORMALIZATION REVERSE Capabilities::PerformanceInfo{.execTime= , .operandPerformance= , .padding= Operand::SymmPerChannelQuantParams{.scales= Memory{.handle= <null IBuffer> <mutable , .prot= packages/modules/NeuralNetworks/common/types/src/Types.cpp Invalid Priority performanceInfo.execTime for operation Two or more extensions have the duplicate name inputIndexes.size() channelQuant.scales.size() for WHILE condition model for WHILE body model has extraParams when there must be none SUBGRAPH with a non-zero poolIndex POINTER with a null pointer (context->getNumInputs() == 3 || context->getNumInputs() == 2) && context->getNumOutputs() == 1 context->getNumInputs() == 61 && (context->getNumOutputs() == kNumOutputs || context->getNumOutputs() == kNumOutputsMerged || context->getNumOutputs() == kNumOutputsWithState || context->getNumOutputs() == kNumOutputsMergedWithState) <%d>%s: **previous message missing %zu bytes** %zu-byte message too long for printk .%03ld __cxa_guard_release std::__libcpp_tls_set failure in __cxa_get_globals() () p u y Unknown error %d Check failed: i , padding = Check failed: !mDeclared Check failed: logicalStep->isGoto() ): mNextStepIndex = Cannot set step model output operand step->outerOutputOperands.size() , innerBuffer->getSize()= Prefix Invalid ExecutionPreference: getOutputShapes() called by an unfinished CpuExecutor. Failed to map BLOB mode AHWB: size model ANeuralNetworksModel_setOperandValueFromMemory setting operand Check failed: calcModelArchHash(modelForValidation, mModelArchHash) (runOrder.size()= ANeuralNetworksCompilation_setTimeout passed a nullptr ANeuralNetworksDevice_getExtensionSupport passed a nullptr packages/modules/NeuralNetworks/runtime/SupportLibraryDiagnostic.cpp Telemetry OperationResolver packages/modules/NeuralNetworks/common/cpu_operations/Activation.cpp incorrect scale or offset for TANH output !context->isOmittedInput(requiredInput) 3u inputSize getSizeOfDimension(bwHiddenState, 1) getNumberOfDimensions(bwAuxWeights) getSizeOfDimension(fwAuxWeights, 0) Unsupported fused activation function type numInputs getSizeOfDimension(input0, d) packages/modules/NeuralNetworks/common/cpu_operations/Conv2D.cpp param.padding_left QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &outputShift[i]) packages/modules/NeuralNetworks/common/cpu_operations/Dequantize.cpp context->setOutputShape(kOutputScoreTensor, outputScoreShape) getNumberOfDimensions(scoreShape) LOGICAL_NOT cannot represent value as int packages/modules/NeuralNetworks/common/cpu_operations/QLSTM.cpp getSizeOfDimension(inputToForgetShape, 0) getNumberOfDimensions(inputGateBiasShape) getSizeOfDimension(forgetLayerNormShape, 0) QuantizeMultiplier(recurrentToOutputEffectiveScale, &recurrentToOutputEffectiveScaleA, &recurrentToOutputEffectiveScaleB) REDUCE_ALL paddingLeft numCells !context->isOmittedOutput(kStateOutputTensor) (subgraphIndex= is zero. [label= Check failed: !isExtensionOperandType(type) Unsupported filter tensor type for operation , slicedOperations.size()= subgraphs.size() double_multiplier > 1. SizeOfDimension(fw_aux_input_to_cell_weights_, 0) SizeOfDimension(bw_aux_input_to_input_weights_, 0) typeOperand.length >= sizeof(int32_t) params->cell_clip >= 0 input->zeroPoint weights->zeroPoint SizeOfDimension(input, 1) Invalid dimensions for output SHA-512 KAT external/boringssl/src/crypto/fipsmodule/ec/ec_montgomery.c AES-GCM-decrypt KAT AES-GCM-decrypt KAT failed because EVP_AEAD_CTX_open failed. DRBG Generate KAT platform: n/a reason(%u) X509 V3 routines a inputLHSTensorType == OperandType::TENSOR_FLOAT16 || inputLHSTensorType == OperandType::TENSOR_FLOAT32 || inputLHSTensorType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED || inputLHSTensorType == OperandType::TENSOR_INT32 Unsupported tensor type for operation RSQRT inputTensorType == OperandType::TENSOR_FLOAT16 || inputTensorType == OperandType::TENSOR_FLOAT32 || inputTensorType == OperandType::TENSOR_QUANT8_ASYMM || inputTensorType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED || inputTensorType == OperandType::TENSOR_INT32 OperandType::INT32 outputShape.type numInputs >= kNumInputs - 1 && numInputs <= kNumInputs + kNumOptionalInputs scalarType == OperandType::FLOAT16 context->getInputType(kInputAxisTensor) (lastAxisExclusive= , shape.dimensions.size()= Invalid (readSize= libcutils.so packages/modules/NeuralNetworks/common/types/src/DynamicCLDeps.cpp Check failed: it != operandPerformance->end() , type= Check failed: verified != nullptr std::get<SharedBuffer>(memoryPool) != nullptr isValidExtensionName(extensionNameAndPrefix.name) different than the model's invalid dimensions with scalar operand type. b.extraParams was std::holds_alternative<Operand::NoParams>(operand.extraParams) || std::holds_alternative<Operand::ExtensionParams>(operand.extraParams) SUBGRAPH with a non-zero length packages/modules/NeuralNetworks/common/types/operations/src/HashtableLookup.cpp context->getNumInputs() == 3 && context->getNumOutputs() == 2 %s no %s failed to release mutex uncaught Thursday Sun February nine tab ANeuralNetworksCompilation_finish called more than once CompilationBuilder::forTest_setPartitioning can't modify after compilation finished ANeuralNetworksExecution_getDuration called before the execution has finished. to->size() mOutputIndexes.size() MEMORY( " : goto Check failed: mState == COMPOUND Check failed: preparedModel != nullptr unrecognized priority: Operand::LifeTime::TEMPORARY_VARIABLE Check failed: driverDevice != nullptr debug.nn.cpuonly Check failed: versionedPreparedModel != nullptr Object than is newer what is allowed. Version needed: ANeuralNetworksMemoryDesc_setDimensions -- incompatible dimensions. ANeuralNetworksModel_ type.dimensions ANeuralNetworksModel_setOperandSymmPerChannelQuantParams ANeuralNetworksBurst and ANeuralNetworksExecution used in ANeuralNetworksExecution_burstCompute must originate from the same ANeuralNetworksCompilation ANeuralNetworksModel_setOperandValue passed a nullptr ANeuralNetworksExecution_create passed a nullptr ANeuralNetworksEvent_getSyncFenceFd passed a nullptr Check failed: mSyncFenceFd > 0 packages/modules/NeuralNetworks/runtime/Telemetry.cpp mPrefixToExtension.size() Unsupported operation type packages/modules/NeuralNetworks/common/cpu_operations/BatchMatmul.cpp getSizeOfDimension(fwHiddenState, 1) height padding_left ELU getSizeOfDimension(deltasShape, 1) context->getInputValue<int32_t>(kMaxNumDetectionPerClassScalar) context->setOutputShape(kOutputDetectionTensor, outputDetectionShape) inputRank val input.type == alpha.type getNumberOfDimensions(cellToForgetShape) Unsupported tensor type for operation REDUCE_PROD inputTensorRank roiInfo[0] * widthScale <= inWidth UNIDIRECTIONAL_SEQUENCE_LSTM // SUBGRAPH invalid OperandType: b.scale nonExtensionOperandSizeOfData(operand.type, operand.dimensions) *left_shift <= 0 getNumberOfDimensions(axisShape) == 1 n_fw_input has_fw_aux_weights == has_bw_aux_weights SizeOfDimension(input_to_input_weights, 0) NumDimensions(projection_bias) NumDimensions(forget_layer_norm_weights) input_layer_norm_weights are provided while CIFG is used getNumberOfDimensions(shape) >= 2 Check failed: srcPool.getSize() == dstPool.getSize() packages/modules/NeuralNetworks/driver/sample/CanonicalPreparedModel.cpp external/boringssl/src/crypto/fipsmodule/bn/gcd_extra.c external/boringssl/src/crypto/fipsmodule/bn/shift.c EVP_AEAD_CTX_seal for AES-128-GCM failed. external/boringssl/src/crypto/bytestring/cbb.c external/boringssl/src/crypto/ecdh_extra/ecdh_extra.c Incorrect input scalar type for a BATCH_MATMUL op: InputLHSAdj: Output type outputType == OperandType::TENSOR_FLOAT16 || outputType == OperandType::TENSOR_FLOAT32 packages/modules/NeuralNetworks/common/types/operations/src/Fill.cpp 2U inputTensorShape.scale (firstAxisInclusive= } is only supported since OEM MEAN GATHER SLICE GENERAL_FAILURE RESOURCE_EXHAUSTED_TRANSIENT , .relaxComputationFloat32toFloat16= Request::Argument{.lifetime= ACTIVE Invalid ExecutionPreference Invalid FusedActivationFunc Timing::timeOnDevice ( ) is read before it is written for output RequestArgument location.offset std::holds_alternative<void*>(location.pointer) operandIndexes.size() requestArgument.location.length but got operands.front().extraParams for IF condition operand b.type WHILE must have at least 1 output with a non-zero scale ( with a non-positive value in scales[ Extension operand of type (context->getNumInputs() == 4 || context->getNumInputs() == 3) && context->getNumOutputs() == 1 clock_gettime(CLOCK_REALTIME) failed condition_variable timed_wait failed money_get error Apr An empty regex is not allowed in the POSIX grammar. alert colon ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed an invalid output index ExecutionBuilder ANeuralNetworksExecution_setTimeout called on an ANeuralNetworksExecution created from an ANeuralNetworksCompilation that was not created by ANeuralNetworksCompilation_createForDevices with numDevices = 1 ANeuralNetworksExecution_addExtensionAttribute called after the execution has started. ANeuralNetworksExecution_getOutputOperandRank called on an execution that has encountered an error. ExecutionBuilder::compute (asynchronous API, non-threaded) , mOperands.size()= , initialDimensions = temp (boundary constant): operand Unexpected operand memory state: buffer->getSize() next: WHILE loop timed out after : exiting loop (version = Check failed: cacheDir.empty() || cacheDir.back() == '/' addOutputRole ModelArgumentInfo is ANeuralNetworksModel_addOperand length setOperandSymmPerChannelQuantParams inputCount identifyInputsAndOutputs to be an input or output. Check that it's not a constant or already an input or output ANeuralNetworksModel_setOperandValueFromModel passed a nullptr telemetry::onCompilationFinish called on unfinished compilation packages/modules/NeuralNetworks/runtime/TypeManager.cpp HARD_SWISH getNumberOfDimensions(fwRecurrentWeights) batchSize handleNegativeAxis(context->getInputShape(kInputTensor), &axis) padding_right output.commit() depthwiseConvNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth, strideHeight, dilationWidthFactor, dilationHeightFactor, depthMultiplier, activation, output.getNhwcBuffer(), output.getNhwcShape()) maxNumDetections boxWithNmsLimitFloat32Compute( scores_float32.data(), scoresShape, roi_float32.data(), roiShape, batchesData, batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma, nmsScoreThreshold, &batchSplitIn, &batchSplitOut, &selected) boxWithNmsLimitFloat32Compute( scores_float32.data(), scoresShape, roiData, roiShape, batchesData, batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma, nmsScoreThreshold, &batchSplitIn, &batchSplitOut, &selected) input count out of range getSizeOfDimension(recurrentToOutputShape, 0) getNumberOfDimensions(recurrentToForgetShape) getSizeOfDimension(forgetGateBiasShape, 0) Input layer norm weights tensor is present when CIFG is used roiInfo[0] >= 0 getSizeOfDimension(sizeShape, 0) getNumberOfDimensions(squeezeDimsShape) == 1 getNumberOfDimensions(stridesShape) == 1 transposeConvNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, biasData, biasShape, param, output.getNhwcBuffer(), output.getNhwcShape()) Can't map shared memory: CpuExecutor::executeSubgraph Invalid dimensions for model operand: currentIndex < currentDimSize || currentDimSize == 1 , -1= The driver returned OutputShapes when it shouldn't. validateConditionOperand(operands[inputs[op::kCondBoolOperand]]) , (model.main.operands.size() == 0)= current blockSize > 0 getSizeOfDimension(paddingsShape, 0) == 2 paddedWidth % blockSizeData[1] == 0 axisShape.type == OperandType::TENSOR_INT32 Check failed: !mToken.empty() n_aux_input packages/modules/NeuralNetworks/common/cpu_operations/ExpandDims.cpp checkWeightsShape(inputToOutputWeights, inputSize) weightsZeroPoint Failed to allocate tempSumBuffer for MEAN sample::Device::prepareModel executor.run returned : actual shape = external/boringssl/src/crypto/fipsmodule/cipher/aead.c external/boringssl/src/crypto/fipsmodule/cipher/cipher.c external/boringssl/src/crypto/fipsmodule/cipher/e_aesccm.c Z Computation Result built on: n/a X.509 certificate routines Unsupported input operand type for comparison op: Unsupported output type for fill op: input_size packages/modules/NeuralNetworks/common/types/operations/src/InstanceNormalization.cpp packages/modules/NeuralNetworks/common/types/operations/src/LocalResponseNormalization.cpp packages/modules/NeuralNetworks/common/types/operations/src/LogicalAndOr.cpp packages/modules/NeuralNetworks/common/types/operations/src/LogicalNot.cpp inputShape.scale requiredInputRank outputType == OperandType::TENSOR_QUANT8_ASYMM || outputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED Unsupported tensor type for REDUCE_ANY or REDUCE_ALL packages/modules/NeuralNetworks/common/types/operations/src/Transpose.cpp packages/modules/NeuralNetworks/common/types/operations/src/TransposeConv2D.cpp outExpectedInTypes[i] ACCELERATOR TENSOR_QUANT8_ASYMM_SIGNED TEMPORARY_VARIABLE Check failed: subgraphVersionCache != nullptr Invalid ErrorStatus optionalTimePoint->time_since_epoch().count() operands.front().scale IF must have at least 3 inputs Operand of type , must be in range [-128, 127] , must be in range [0, 65535] DataLocation with a non-zero padding used in Model: * Dec recursive_mutex lock failed N NUL h right-square-bracket semicolon ANeuralNetworksExecution_getOutputOperandDimensions called on an execution that has encountered an error. updateOutputShapes: > (i= pool= packages/modules/NeuralNetworks/runtime/ExecutionCallback.cpp ExecutionCallback::setOnFinish -- "finish" callback is invalid , offset = , alignment = for step ExecutionPlan::next( (controller->mSourceOperandToLocationOfTemporary.count(outputOperand)= , outerBuffer->getSize()= mSteps.size() , mSteps.size()= can't do operation mReferencedModels.size() sourceOperand.lifetime (step->elseBranchInputOperands.size()= debug.nn.sample.supported ) failed IDevice::getSupportedOperations returned a vector of length **Execution failed** (ResultCode = ::execute(...) error: Check failed: std::all_of(waitFor.begin(), waitFor.end(), [](int fd) { return fd >= 0; }) Enabled devices: model cache handles, got ANeuralNetworksModel_setOperandValueFromModel value model must be finished copyLargeValuesToSharedMemory ANeuralNetworksModel_identifyInputsAndOutputs outputs Operation ANeuralNetworksModel_addOperation passed a nullptr to ANeuralNetworksExecution_startCompute ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed a nullptr SL_ANeuralNetworksDevice_forEachVendorExtensionOperandTypeInformation passed a vendorExtensionIndex that is out of range ServerFlag provide inconsistent information for extension RELU Input tensor ranks do not match with each other. getNumberOfDimensions(bwBias) convNhwc(unsignedInput.data(), inputShape, unsignedFilter.data(), filterShape, biasData, biasShape, padding_left, padding_right, padding_top, padding_bottom, stride_width, stride_height, dilation_width_factor, dilation_height_factor, activation, unsignedOutput.data(), outputShape) Unsupported value type for fill op. roiShape.scale roiBase[3] packages/modules/NeuralNetworks/common/cpu_operations/LogicalNot.cpp padPrepare(inputShape, context->getInputBuffer<int32_t>(kInputPaddingTensor), context->getInputShape(kInputPaddingTensor), &outputShape) checkAsInt(inputDims) getSizeOfDimension(inputToInputShape, 0) getSizeOfDimension(inputGateBiasShape, 0) getSizeOfDimension(projectionShape, 1) getNumberOfDimensions(forgetLayerNormShape) !hasTensor(context, kInputLayerNormTensor) Unsupported tensor type for operation REDUCE_ANY roiInfo[1] >= 0 indexedOutput.nextIndexInplace(&outputIndex, &lastIndex) packages/modules/NeuralNetworks/common/cpu_operations/StridedSlice.cpp getSizeOfDimension(beginShape, 0) == numInputDims endShape.type == OperandType::TENSOR_INT32 k transposeConvQuant8PerChannelNhwc( input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, biasData, biasShape, param, output.getNhwcBuffer(), output.getNhwcShape()) !context->isOmittedOutput(kOutputStateOutTensor) failed. (outerOperand.length= Cannot get scalar data: buffer too short invalid operand index at Unsupported filter tensor channel dimension for operation ) or output operands ( ANEURALNETWORKS_IF must have at least 1 output op::kFirstInput + branchModelInputCount bodyModelOutputCount and found First tensor: dimension SizeOfDimension(recurrent_to_cell_weights, 0) SizeOfDimension(input_gate_bias, 0) packages/modules/NeuralNetworks/common/cpu_operations/QuantizedLSTM.cpp checkWeightsShape(recurrentToInputWeights, outputSize) checkWeightsShape(recurrentToForgetWeights, outputSize) SizeOfDimension(prevCellState, 0) num_units sample::Device::allocate -- type = Check failed: !isExtension(kOperandType) ManagedBuffer::validateRequest -- using uninitialized buffer as input request. Check failed: mTokenToBuffers[index] != nullptr external/boringssl/src/crypto/fipsmodule/ec/oct.c NIST P-521 %02x User defined functions external/boringssl/src/crypto/evp/p_dsa_asn1.c inputType == OperandType::TENSOR_BOOL8 || inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32 || inputType == OperandType::TENSOR_INT32 || inputType == OperandType::TENSOR_QUANT8_ASYMM || inputType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED Unsupported tensor type for a logical operation does not match input tensor # rank packages/modules/NeuralNetworks/common/types/operations/src/Select.cpp Check failed: 0 <= dimensionIdx && dimensionIdx < shape.dimensions.size() for Check failed: fn != nullptr CPU AXIS_ALIGNED_BBOX_TRANSFORM INSTANCE_NORMALIZATION PAD_V2 HIGH OutputShape{.dimensions= false , .ifPerformance= Model::Subgraph{.operands= , .outputIndexes= SIGNALED FEATURE_LEVEL_1 <constant <empty HardwareBuffer::Handle> iter == types.end() !subgraph.operands.empty() role.modelIndex Invalid OperationType Subgraph index out of range: packages/modules/NeuralNetworks/common/types/operations/src/Cast.cpp packages/modules/NeuralNetworks/common/types/operations/src/GroupedConv2D.cpp filterType == inputType || filterType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL numpunct_byname<wchar_t>::numpunct_byname failed to construct for %b June December Nov AM recursive_timed_mutex lock limit reached O Y c greater-than-sign hyphen-minus CompilationBuilder::forTest_failPartitioning can't modify after compilation finished Check failed: padding != nullptr ANeuralNetworksBurst_create passed an unfinished compilation ANeuralNetworksExecution_ ExecutionBuilder::finishComputation is called twice output# paddedLength overflow : Overriding a fully specified dimension is disallowed Check failed: mState == POINTER || mState == MEMORY With execution ErrorStatus thread constructor failed Error when copying extra parameters to the operand temps as step model inputs then= branchInputOperands.size() Device DriverDevice::create called with nullptr Unable to dup the file descriptor DriverExecution::computeFenced completed findAvailableDevices setDimensions MemoryBuilder::finish -- cannot handle multiple devices. RuntimeMemory::create() failed: Zero point: Prepared models [ kCompilationRoles.count({compilation, ioType, index}) > 0 incompatible input dimensions between request and memory. (request: values. Invalid Operation: Unhandled TailSpec: ANeuralNetworksDevice_getName passed a nullptr ANeuralNetworksExecution_compute passed a nullptr ANeuralNetworksExecution_startCompute passed a nullptr (mError= Unrecognized DataClass Extension Check failed: getExtensionInfo(prefix, &extension) packages/modules/NeuralNetworks/common/OperationResolver.cpp Check failed: mRegistrations[index] == nullptr getNumberOfDimensions(inputRHSTensorShape) GREATER_EQUAL imageInfoDataShape.scale DETECTION_POSTPROCESSING score_nhwc.initialize(scoresData, scoresShape) heatmapMaxKeypointFloat32( heatmap_float32.data(), heatmapShape, boxes_float32.data(), boxesShape, layout, outputScore_float32.data(), outputScoreShape, outputKeypoint_float32.data(), outputKeypointShape, fpAtol, fpRtol) packages/modules/NeuralNetworks/common/cpu_operations/MirrorPad.cpp firstInputTensorRank getNumberOfDimensions(recurrentToOutputShape) getNumberOfDimensions(inputToCellShape) QuantizeMultiplier(outputLayerNormShape.scale, &outputLayerNormScaleA, &outputLayerNormScaleB) QuantizeMultiplier(hiddenStateEffectiveScale, &hiddenStateEffectiveScaleA, &hiddenStateEffectiveScaleB) Unsupported tensor type for operation REDUCE_MIN static_cast<uint32_t>(beginData[i]) 0.0f getNumberOfDimensions(inputShape) permShape.type == OperandType::TENSOR_INT32 getNumberOfDimensions(permShape) : Invalid number of , sizeof(T)= outputs, Extension operations are supported since HAL version 1.2, validating using The driver returned Timing when it shouldn't. are only supported in Check failed: helper.getSubgraphInputCount != nullptr a.dimensions.size() slice->mSlicedOperationIndexToOrigIndex.size() getNumberOfDimensions(valueShape) >= 1 Calling update on an token in error state Embedding Lookup: index out of bounds. n_cell SizeOfDimension(projection_weights, 1) baseShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &baseFlatIndex) ManagedBuffer::validateCopyFrom -- invalid memory size: sample::PreparedModel::executeFenced passed an empty SyncFence external/boringssl/src/crypto/fipsmodule/bn/jacobi.c P-224 external/boringssl/src/crypto/fipsmodule/rsa/rsa.c Calculated: TLS KDF failed. memory buffer routines OCSP routines HKDF functions inputLHSAdjType == OperandType::BOOL && inputRHSAdjType == OperandType::BOOL validateOutputTypes(context, outExpectedTypes) context->getInputType(kInputModeScalar) ASharedMemory_getSize DeviceStatus{ UINT32 ROI_ALIGN IF LOW , .relaxedFloat32toFloat16PerformanceTensor= Model{.main= FEATURE_LEVEL_2 FEATURE_LEVEL_8 Version{ <invalid fd> <handle with memory.prot & ~kAllowedBits lastPosition !isNullptr Model has unknown output rank and request does not specify it. CONSTANT_COPY with a non-null pointer packages/modules/NeuralNetworks/common/types/operations/src/LSHProjection.cpp packages/modules/NeuralNetworks/common/types/operations/src/ArgMinMax.cpp iostream April D form-feed SL_ANeuralNetworksCompilation_setCachingFromFds can't modify after compilation finished , : Setting with incompatible dimension count (existing = output shapes vector must be empty but has length Notified with non-empty output shape vector when error status is neither NONE nor OUTPUT_INSUFFICIENT_SIZE , stepIndex = DynamicTemporaries::allocate(stepIndex = ExecutionStep( Check failed: stepModelOutputIndex < mModelOutputs.size() Check failed: metadata.empty() ExecutionPlan::CompoundeBody::finish: simulating failure, ResultCode finished declarations Unknown step variant , size_t(1)= IBurst Failed to dup the file descriptor Invalid Priority: Check failed: kExecution != nullptr as allocator. ) and/or length ( setting extension data for operand OEM_OPERATION is deprecated. Use Extensions instead. ANeuralNetworksExecution_setLoopTimeout passed a nullptr ANeuralNetworksCompilation_addExtensionAttribute passed a nullptr ANeuralNetworksEvent_getSyncFenceFd unable to get valid sync_fence fd ANeuralNetworksExecution_enableInputAndOutputPadding passed a nullptr Invalid feature level flag value bwNumUnits context->setOutputShape(kFwOutputTensor, fwOutput) context->setOutputShape(kBwOutputTensor, bwOutput) getNumberOfDimensions(input1) MUL QuantizeMultiplierSmallerThanOneExp(real_output_multiplier, &output_multiplier, &output_shift) depth_multiplier Unsupported tensor type for operation ABS imageInfoShape.offset context->getInputValue<_Float16>(kIoUThresholdScalar) >= 0 beforePadding std::numeric_limits<typeof(params->axis)>().max() Unsupported tensor type for operation L2_POOL_2D L2_POOL_2D getNumberOfDimensions(forgetGateBiasShape) getNumberOfDimensions(cellGateBiasShape) packages/modules/NeuralNetworks/common/cpu_operations/Reduce.cpp 8U roiPoolingNhwc(input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, batchSplitData, batchSplitShape, heightStride, widthStride, output.getNhwcBuffer(), output.getNhwcShape()) Unsupported tensor type for STRIDED_SLICE op. inputShape.dimensions.back() Cannot allocate a variable of an extension type subgraphs omitted ANeuralNetworksModel_addOperation inputs , expected 4 or 3) or output operands ( Operation type Validation failed for operation kMaxSize Validation failed for IF else model operand.dimensions[0] MetaModel Check failed: !strictSlicing elements->size() -numberOfDimensions <= *axis && *axis < numberOfDimensions NumInputsWithValues(operation, operands) SizeOfDimension(recurrent_to_input_weights, 1) NumDimensions(weights) SizeOfDimension(recurrent_weights, 0) packages/modules/NeuralNetworks/driver/sample/CanonicalDevice.cpp ManagedBuffer::validateRequest -- using the same device memory for input/output or multiple outputs BufferTracker::free -- release token = Check failed: srcPool.getBuffer() != nullptr HKDF external/boringssl/src/crypto/evp/p_ed25519_asn1.c outputType packages/modules/NeuralNetworks/common/types/operations/src/Broadcast.cpp packages/modules/NeuralNetworks/common/types/operations/src/Elu.cpp Unsupported tensor type for REDUCE_MAX or REDUCE_MIN dimension must be 1 but is packages/modules/NeuralNetworks/common/types/operations/src/TopK_V2.cpp operandCount Incompatible ranks: OFFLINE , .length= , .zeroPoint= BufferDesc{.dimensions= (with runtime-specific features) Invalid MeasureTiming is never written ExtensionNamesAndPrefixes has duplicate type preparedModel != nullptr Check failed: !operands.empty() For operand , must be in range [0, 255] context->getNumInputs() == 6 && context->getNumOutputs() == 2 packages/modules/NeuralNetworks/common/types/operations/src/Multinomial.cpp *: ro. __cxa_guard_abort std::bad_cast %.0Lf ctype_byname<char>::ctype_byname failed to construct for November Unknown error type A cntrl upper ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed an invalid input index duration: from.size() : Invalid newType Check failed: !containsUnknownSize(step->bodyInputOperands) , step->outerInputOperands.size()= ms EMPTY -> temp: operand (lifetime= CpuDevice::allocate -- does not support unknown dimensions. forTest_makeDriverDevice( DriverDevice::wait error: -- the same operand is specified twice. MemoryBuilder::allocate -- fallback to ashmem. , memory: cannot use Non-BLOB AHardwareBuffer as model constant offset ANeuralNetworksModel_finish called on a model that is newer what is allowed. Model version needed: Check failed: TypeManager::get()->getExtensionInfo(prefix, &extension) ANeuralNetworksCompilation_finish passed a nullptr Too many extensions in use params.output_multiplier_exponent <= 0 , 4u= param.initialize(context) Error converting a non-4-D tensor to NHWC layout getNumberOfDimensions(imageInfoDataShape) packages/modules/NeuralNetworks/common/cpu_operations/PRelu.cpp Input gate bias tensor is present when CIFG is used getNumberOfDimensions(projectionBiasShape) QuantizeMultiplier(forgetLayerNormShape.scale, &forgetLayerNormScaleA, &forgetLayerNormScaleB) getNumberOfElements(axisShape) batchId hRoiStart <= inHeight SELECT getSizeOfDimension(endShape, 0) == numInputDims outDim poolIndex ordering=out Check failed: !overflow got Unknown result code helper.isValidSubgraphReference(bodyModelOperand) double_multiplier >= 0. projOperand.length >= sizeof(float) aux_fw_weights_all_or_none && aux_bw_weights_all_or_none aux_input_->shape().dimensions[0] SizeOfDimension(bw_aux_input_to_input_weights_, 1) SizeOfDimension(input_to_cell_weights, 0) NumDimensions(recurrent_to_cell_weights) SizeOfDimension(projection_weights, 0) exponentShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &exponentFlatIndex) num_filters Check failed: operationResolver != nullptr sample::Device::allocate -- validation failed: BufferTracker::get -- unknown token HMAC-SHA-256 KAT Features %lu:%s:%s:%d:%s Digest functions , InputRHSTensor: does not match input type packages/modules/NeuralNetworks/common/types/operations/src/BidirectionalSequenceRNN.cpp validateInputTypes(context, {inputType, inputType, OperandType::INT32}) OperandType::TENSOR_INT32 packages/modules/NeuralNetworks/common/types/operations/src/Neg.cpp type OperationValidationUtils DynamicCLDeps YES MeasureTiming{ GENERATE_PROPOSALS PACK MISSED_DEADLINE_PERSISTENT ExtensionNameAndPrefix{.name= , .pools= , .ioIndex= FEATURE_LEVEL_3 Model memorySize operand.type OperandType::TENSOR_BOOL8 Invalid subgraph reference !operand.dimensions.empty() but dimensions of rank 0 size.has_value() Tensor has at least one unknown dimension std::holds_alternative<Operand::SymmPerChannelQuantParams>(operand.extraParams) with a wrong-sized scales, expected packages/modules/NeuralNetworks/common/types/operations/src/LSTM.cpp packages/modules/NeuralNetworks/common/types/operations/src/RNN.cpp packages/modules/NeuralNetworks/common/types/operations/src/ExpandDims.cpp cannot zero out thread value for __cxa_get_globals() commercial-at solidus %f __thread_specific_ptr construction failed ANeuralNetworksCompilation_getPreferredMemoryPaddingForInput passed an unfinished compilation ANeuralNetworksExecution_create passed an invalid compilation ANeuralNetworksMemoryDesc_addInputRole passed an unfinished compilation getComputeStartTimePoint called before ANeuralNetworksExecution_getOutputOperandRank bad index Check failed: syncFence != nullptr outputShapes.size() memory->getValidator().updateMetadata({.dimensions = output.dimensions()}) Check failed: update != nullptr TypeManager::get()->getExtensionOperandTypeInfo(operand.type, &info) Check failed: completed() ExecutionStep::finishStepModel, step model outputs else= (mSourceOperandToLocationOfTemporary.count(innerOperand) + mSourceOperandToInputIndex.count(innerOperand) + mSourceOperandToOutputIndex.count(innerOperand) + mSourceOperandToConstantReference.count(innerOperand)= (branchInputOperands.size()= getSourceModels().size() ) = -1 (NNAPI) lifetime , lifetime= IPreparedModel IExecution::computeFenced() error: Check failed: numCacheFiles <= kMaxNumberOfCacheFiles not null which has operand type that is not fully specified setOperandExtensionData runOrder.size() ANeuralNetworksCompilation_createForDevices passed a nullptr as a device ANeuralNetworksEvent_wait passed a nullptr SL_ANeuralNetworksDevice_getVendorExtensionName passed a vendorExtensionIndex that is out of range Check failed: kExecutionCallback != nullptr packages/modules/NeuralNetworks/common/cpu_operations/ChannelShuffle.cpp input.type == OperandType::TENSOR_QUANT8_ASYMM || input.type == OperandType::TENSOR_QUANT8_ASYMM_SIGNED dilation_height_factor Unsupported tensor types combination for dequantize op. (input type: packages/modules/NeuralNetworks/common/cpu_operations/Elu.cpp numRois getNumberOfDimensions(roiShape) == 2 boxInfoLength convertNchwToNhwc(heatmap, heatmapShape, &heatmap_nhwc, &heatmapShape_nhwc) 0U afterPadding packages/modules/NeuralNetworks/common/cpu_operations/Neg.cpp Input tensor # uint32_t(axisDimension) Unsupported tensor type for operation MAX_POOL_2D QuantizeMultiplier(inputToOutputEffectiveScale, &inputToOutputEffectiveScaleA, &inputToOutputEffectiveScaleB) roiAlignQuantNhwc<T_Input>( input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, batchSplitData, batchSplitShape, heightStride, widthStride, heightSamplingRatio, widthSamplingRatio, output.getNhwcBuffer(), output.getNhwcShape()) roiPooling(inputData, inputShape, roi_float32.data(), roiShape, batchSplitData, batchSplitShape, heightStride, widthStride, useNchw, outputData, outputShape) packages/modules/NeuralNetworks/common/cpu_operations/Softmax.cpp strideWidth packages/modules/NeuralNetworks/common/CpuExecutor.cpp Unknown memory token (indexes.size()= Error converting a non-4-D tensor from NHWC layout sizeof(T) \n has a different number of dimensions from shape: HAL version AIDL_V2 validateQuant16AsymmParams(type, tag) 0 <= type.zeroPoint && type.zeroPoint <= 255 ANEURALNETWORKS_IF must have at least 3 inputs Check failed: helper.isValidSubgraphReference != nullptr helper.isValidSubgraphReference(branchModelOperand) Validation failed for WHILE condition model validateControlFlowOperandUnknownSize(helper, outputOperand) Slice: To Check failed: used != nullptr used->size() (subgraphs.size()= getSizeOfDimension(filter, 3) * numGroups == getSizeOfDimension(input, 3) biasScale SizeOfDimension(bias, 0) sample::Device::allocate -- successfully allocates the requested memory sample::Device::allocate -- unknown remote IPreparedModel. external/boringssl/src/crypto/fipsmodule/ec/ec.c lib(%u) invalid library (0) public key routines PKCS8 routines validateOutputTypes(context, {OperandType::TENSOR_BOOL8}) inputType == OperandType::TENSOR_BOOL8 does not match output tensor offset Unsupported axis scalar type for pack op outputShape.scale packages/modules/NeuralNetworks/common/types/operations/src/RoiPooling.cpp packages/modules/NeuralNetworks/common/types/src/OperationsUtils.cpp inputs, got getInputType(i) ASharedMemory_create TENSOR_OEM_BYTE MINIMUM WHILE , .isSufficient= , .info= <non-null IBuffer> FEATURE_LEVEL_5 operands.size() instead of the expected std::get<Request::MemoryDomainToken>(memoryPool) != kInvalidMemoryDomainToken optionalTimeoutDuration->count() expected a size of !preparedModels.empty() ]= OperandValue location out of range. Starts at POINTER with a non-zero offset VDIWEFF %p Oct P apostrophe circumflex-accent g quotation-mark seven six ANeuralNetworksCompilation_setTimeout called on an ANeuralNetworksCompilation that was not created by ANeuralNetworksCompilation_createForDevices with numDevices = 1 that was not created by ANeuralNetworksCompilation_createForDevices Check failed: computationStarted() ANeuralNetworksExecution_startComputeWithDependencies called with non-zero duration on an ANeuralNetworksExecution created from an ANeuralNetworksCompilation that was not created by ANeuralNetworksCompilation_createForDevices with numDevices = 1 ) dynamicTemporaries == nullptr shapes.size() == model->outputCount() It's new ExecutionStep::finishStepModel, compilation on defines dynamic temporaries but is scheduled on pre-1.2 device mSourceOperandToLocationOfTemporary.count(innerOperand) + mSourceOperandToInputIndex.count(innerOperand) + mSourceOperandToOutputIndex.count(innerOperand) + mSourceOperandToConstantReference.count(innerOperand) Cannot set step model input operand deviceCount = (step->thenBranchInputOperands.size()= onto DriverExecution::compute completed Check failed: dst->getBuffer() != nullptr ) for Non-BLOB format AHardwareBuffer. Setting argument with padded length without enabling input and output padding -- length: ModelBuilder has ANeuralNetworksModel_identifyInputsAndOutputs Can't set operand ANeuralNetworksExecution_getDuration passed a nullptr ANeuralNetworksMemoryDesc_finish passed a nullptr ANeuralNetworksExecution_setOutputFromMemory passed a nullptr ANeuralNetworksModel_setOperandExtensionData passed a nullptr , ErrorStatus::NONE= TypeManager::TypeManager and kNumberOfOperationTypes Unsupported tensor type for operation LOGISTIC Unsupported auxiliary tensors configuration for BIDIRECTIONAL_SEQUENCE_RNN. DIV shape.dimensions.size() QuantizeMultiplierSmallerThanOneExp(real_multiplier, &output_multiplier, &output_shift) numGroups > 0 effectiveFilterWidth getSizeOfDimension(batchesShape, 0) == numRois heatmapMaxKeypointFloat32( heatmap_float32.data(), heatmapShape, boxes_float32.data(), boxesShape, layout, outputScore_float32.data(), outputScoreShape, outputKeypoint_float32.data(), outputKeypointShape, 1e-3f, 1e-3f) Invalid input tensor rank: getSizeOfDimension(recurrentToInputShape, 0) getSizeOfDimension(outputStateShape, 0) getNumberOfDimensions(cellStateShape) Unsupported scalar type for operation widthScale getNumberOfDimensions(hiddenState) Could not map pools not registered CpuExecutor::executeWhileOperation: iteration innerOperand.length does not support zero-sized tensor, but input info.length // NOTE: d -> n isValid(index) HAL version 1.2 HAL version AIDL_V1 validateTensorDimensions(type, extensionOperandTypeInfo, tag, allowPartial) branchModelOutputCount *right_shift >= 0 channels % (blockSize * blockSize) == 0 paddedHeight % blockSizeData[0] == 0 getLinkingMode(has_aux_input, has_aux_weights, &linkingMode) NumDimensions(weight) SizeOfDimension(weight, 0) NumDimensions(recurrent_to_forget_weights) NumDimensions(input_gate_bias) SizeOfDimension(projection_bias, 0) numDims >= 2 ManagedBuffer::validateCopyFrom -- invalid dimensions for scalar operand: ManagedBuffer::validateCopyFrom -- incompatible dimensions ( ManagedBuffer::validateCopyTo -- using uninitialized buffer as source. Check failed: dstPool.getBuffer() != nullptr sample::PreparedModel::execute( external/boringssl/src/crypto/fipsmodule/ec/simple.c Z-computation KAT failed. system library internal error external/boringssl/src/crypto/evp/p_ec.c Input types do not match between two input tensors. InputLHSTensor: 9u + inputOffset packages/modules/NeuralNetworks/common/types/operations/src/Dequantize.cpp outputType == OperandType::TENSOR_FLOAT16 || outputType == OperandType::TENSOR_FLOAT32 || outputType == OperandType::TENSOR_INT32 context->getNumInputs() == kNumInputs || context->getNumInputs() == kNumInputs - 1 kMinNumInputs Unsupported input operand type for QUANTIZE op: packages/modules/NeuralNetworks/common/types/operations/src/Rank.cpp !dim0 || dim0 == 1 Operand::LifeTime{ EXPAND_DIMS OUTPUT_INSUFFICIENT_SIZE , .operandTypes= , .poolIndex= , .dimensions= <empty handle> (length= timing.timeOnDevice.value() <= timing.timeInDriver.value() preparedModels.size() inputs.size() outputs.size() for operand of lifetime Unexpected length ms ANDROID_FILE__dev_kmsg %s%s%.*s on terminate_handler unexpectedly returned M W asterisk hyphen percent-sign right-parenthesis two nnapi-sample_sl ANeuralNetworksCompilation_getPreferredMemoryPaddingForOutput passed an invalid compilation ANeuralNetworksExecution_setOutput execution has started. ANeuralNetworksExecution_setLoopTimeout called after the execution has started. Check failed: fallbackExecutor->areDynamicTemporariesAllocated() startComputeWithDependencies , .mainOutputInsufficient = isUpdatable(to->at(toIndex).dimensions, from[i].dimensions) mInputIndexes.size() packages/modules/NeuralNetworks/runtime/Memory.h ANeuralNetworksExecution starts compute when not all inputs specified , 0u= Check failed: mBody != nullptr Check failed: mState != SIMPLE Unable to get outerBuffer for operand != (getSourceModels().size()= Check failed: mState == SIMPLE || mState == COMPOUND , newDimensions = Check failed: mSourceOperandToOutputIndex.find(sourceOperandIndex) != mSourceOperandToOutputIndex.end() could not be found step->elseBranchInputOperands.size() getSlice( , state: C ANeuralNetworksMemory_copy failure: -- invalid frequency request size larger than the memory size. packages/modules/NeuralNetworks/runtime/ModelArgumentInfo.cpp can't modify after model finished setOperandValueFromModel ANeuralNetworksCompilation_createForDevices passed a nullptr ANeuralNetworksMemoryDesc_setDimensions passed a nullptr ANeuralNetworksExecution_getOutputOperandRank passed a nullptr ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed a nullptr getNumberOfDimensions(inputLHSTensorShape) canMatrixMul(getSizeOfDimension(inputLHSTensorShape, numDims - 2), getSizeOfDimension(inputLHSTensorShape, numDims - 1), getSizeOfDimension(inputRHSTensorShape, numDims - 2), getSizeOfDimension(inputRHSTensorShape, numDims - 1), adjX, adjY) getNumberOfDimensions(bwWeights) getSizeOfDimension(auxInput, 2) (shape.dimensions.size()= QuantizeMultiplierSmallerThanOneExp(real_input2_multiplier, &input2_multiplier, &input2_shift) packages/modules/NeuralNetworks/common/cpu_operations/Fill.cpp numAnchors roiBase[0] paddingMax calculateBroadcastedShape(input, alpha, &output) dimensions do not match input tensor #0 dimensions getNumberOfDimensions(cellLayerNormShape) getSizeOfDimension(outputLayerNormShape, 0) RANK REDUCE_PROD Unsupported tensor type for SELECT op. static_cast<uint32_t>(sliceBegin + sliceSize) Check failed: index < operation->inputs.size() packages/modules/NeuralNetworks/common/LegacyUtils.cpp Check failed: !isExtension(type) Unsupported data type for operation type.scale operand.type == OperandType::TENSOR_BOOL8 Cannot convert packages/modules/NeuralNetworks/common/MetaModel.cpp (origOperandIndexToSlicedIndex->count(origOperandIndex)= Slice: From canonical Unexpected origOperandIndexToSlicedIndex compliant input processing created model.referenced.size() model.pools.size() NumDimensions(fw_input_to_output_weights_) NumDimensions(bw_aux_input_to_cell_weights_) dimsB[1] IsNullInput(input_gate_bias) projClipOperand.length >= sizeof(float) SizeOfDimension(input_to_output_weights_, 1) 3 checkBiasShape(inputGateBias) bias->scale Invalid enum value for activation function: 0x%0X Check failed: kToken != nullptr external/boringssl/src/crypto/fipsmodule/bn/gcd.c external/boringssl/src/crypto/fipsmodule/ec/scalar.c SHA-256 KAT external/boringssl/src/crypto/fipsmodule/rsa/blinding.c TLS10-KDF KAT TLS13-KDF failed. common libcrypto routines ECDH routines function should not have been called ',' external/boringssl/src/crypto/evp/p_rsa.c Unsupported output operand type for QUANTIZE op: packages/modules/NeuralNetworks/common/types/operations/src/ResizeImageOps.cpp packages/modules/NeuralNetworks/common/types/operations/src/RoiAlign.cpp getOutputType(i) countNumberOfConsumers: tried to access out-of-bounds operand ( POW , .inputIndexes= memory.size syncFence.getFd() isOutput set to 0 but the request does not specify the dimension. operand.scale poolSizes.size() >= unsupported ' clock_gettime(CLOCK_MONOTONIC) failed condition_variable wait failed collate_byname<wchar_t>::collate_byname(size_t refs) failed to construct for %B May allocator<T>::allocate(size_t n) 'n' exceeds maximum supported size U e f five number-sign o reverse-solidus punct ANeuralNetworksCompilation_getPreferredMemoryAlignmentForInput passed an invalid compilation ANeuralNetworksBurst_create passed an invalid compilation ANeuralNetworksExecution_setReusable called after the execution has started. ANeuralNetworksExecution_addExtensionAttribute called on an ANeuralNetworksExecution created from an ANeuralNetworksCompilation that was not created by ANeuralNetworksCompilation_createForDevices with numDevices = 1 looking for next StepExecutor Check failed: executor->areDynamicTemporariesAllocated() Check failed: isUpdatable(inputOrOutputInfo->dimensions(), dimensions) packages/modules/NeuralNetworks/runtime/ModelBuilder.h !tm->isTensorType(outputOperand.type) || (shapes[outputIndex].dimensions.size() != 0) temps as step model outputs Check failed: !deadline.has_value() , sizeof(bool8)= innerBuffer->getSize() ModelBuilder::findBestDeviceForEachOperation( step->thenBranchOutputOperands.size() Memory RuntimeMemory::create() map failed: service = memory size cannot be implied. Check failed: mCompletedModel packages/modules/NeuralNetworks/runtime/NeuralNetworks.cpp SL_ANeuralNetworksDevice_getNumberOfCacheFilesNeeded passed a nullptr packages/modules/NeuralNetworks/runtime/ServerFlag.cpp b.name 2u context->setOutputShape(kBwOutputHiddenStateTensor - delta, context->getInputShape(kBwHiddenStateTensor)) BIDIRECTIONAL_SEQUENCE_RNN getNumberOfDimensions(filter) stride_height axisSize numClasses getSizeOfDimension(imageInfoShape, 1) boxesShape.offset boxInfoBase[2] uint32_t(std::numeric_limits<int>::max()) axisDimension QUANTIZE Unsupported tensor type for operation REDUCE_ALL packages/modules/NeuralNetworks/common/cpu_operations/RoiPooling.cpp packages/modules/NeuralNetworks/common/cpu_operations/UnidirectionalSequenceRNN.cpp CpuExecutor::run() with request( Invalid type for model output input operand ordering=in label=" HAL uses unstable AIDL ANeuralNetworksModel_addOperation outputs validateScalarDimensions(type, tag) -128 <= type.zeroPoint && type.zeroPoint <= 127 Unexpected condition operand type: a.dimensions[i] b.zeroPoint (slice->mSlicedOperationIndexToOrigIndex.size()= origOperandIndexToSlicedIndex compliant output created OrigOperandToSlicedInputOperandIndex::getIndex created in1.type == in2.type height % blockSize == 0 input_->shape().dimensions[1] SizeOfDimension(fw_aux_input_to_output_weights_, 1) SizeOfDimension(bw_aux_input_to_cell_weights_, 1) Unsupported CAST output type packages/modules/NeuralNetworks/common/cpu_operations/LSHProjection.cpp NumDimensions(recurrent_to_output_weights_) checkWeightsShape(inputToInputWeights, inputSize) SizeOfDimension(weights_feature, 1) external/boringssl/src/crypto/fipsmodule/bn/div.c external/boringssl/src/crypto/fipsmodule/dh/dh.c external/boringssl/src/crypto/fipsmodule/digestsign/digestsign.c r+ external/boringssl/src/crypto/ecdsa_extra/ecdsa_asn1.c validateInputTypes(context, {inputType, inputType}) std::binary_search(std::begin(kNumInputsArray), std::end(kNumInputsArray), numInputs) packages/modules/NeuralNetworks/common/types/operations/src/DepthwiseConv2D.cpp Provided only one dilation factor value, two values are required for operation validateOutputTypes(context, {OperandType::INT32}) inExpectedTypes[i] packages/modules/NeuralNetworks/common/types/src/SharedMemoryAndroid.cpp , size= TENSOR_QUANT8_ASYMM TENSOR_QUANT8_SYMM HEATMAP_MAX_KEYPOINT Operand{.type= , .location= model != nullptr operands.front().zeroPoint operand.extraParams (operand.type == OperandType::SUBGRAPH) (operand.lifetime == Operand::LifeTime::SUBGRAPH) Tensor dimensions overflow must not have SymmPerChannelQuant extraParams %s: %s %s failed to broadcast std::bad_typeid %a %b %d %H:%M:%S %Y Wed September backslash %d {unknown} execution compilation unspecified system_category error /dev/urandom debug.nn.enabled-devices nnapi-reference The state of the promise has already been set. unspecified future_errc value unspecified iostream_category error debug.nn.vlog 0123456789 : no conversion The associated promise has been destructed prior to the associated state becoming ready. unspecified generic_category error Operation not permitted on an object without an associated state. The future has already been retrieved from the promise or packaged_task. : out of range sample % H : % M : % S % m / % d / % y % Y - % m - % d )b 0 x .! 4H 0 < 0 y _ u %bw+s y U7 v_ V WS \ J % ! ] % q BATCH_MATMUL CHANNEL_SHUFFLE CONCATENATION CONV_2D DEPTHWISE_CONV_2D FULLY_CONNECTED GATHER DETECTION_POSTPROCESS AXIS_ALIGNED_BBOX_TRANSFORM BOX_WITH_NMS_LIMIT GENERATE_PROPOSALS HEATMAP_MAX_KEYPOINT INSTANCE_NORMALIZATION L2_NORMALIZATION LOCAL_RESPONSE_NORMALIZATION LOG_SOFTMAX MIRROR_PAD NEG PRELU PACK REVERSE ROI_ALIGN ROI_POOLING SLICE SOFTMAX TRANSPOSE J u n D e c e m b e r J u l A u g u s t W e d n e s d a y % H : % M : % S O c t o b e r S e p t e m b e r O c t T u e N o v e m b e r % m / % d / % y T u e s d a y A p r i l % l l d % L f D e c J a n u a r y F e b M o n d a y F r i % l d % I : % M : % S % p S a t % d % f F e b r u a r y M a y f a l s e F r i d a y P M T h u r s d a y T h u M a r c h A M A p r S u n N o v % a % b % d % H : % M : % S % Y S u n d a y W e d ( ) J a n A u g M o n % l u t r u e S e p % u J u n e M a r J u l y % l l u S a t u r d a y TRANSPOSE_CONV_2D YY \(a8Bk &J } . ;s oL ; 2 O r a/4( 4 pm rc V M9 BO h ` j K a $ zy:HO 05 6 X r w p O 5 W^ W =Uec n _ 3$ae za u cc /} > $ 3d A6 6- <=' V J XT 0 0 * H @ 0!0 + 0-0 ` H e 010 ` H e 0 0A0 ` H e 0 @ 0Q0 ` H e @ 3 `|M; > { _#p ^xF (yA ?vJO . 3 Ab " ? { ^*3/52 6 o 4 Q ( dB > , J9 J @ .Xn / M 1Cc* 3N|/r F E {3 ` SN B . h' =6 xJ{ C^ t 9 o : J 3 L ; `o Ju }Y d 3 ; } #j+ 9kQR" X ^'^ f ` W Fu!% "x lMi )< 5N x6z 5A d & / + ]FvZ % R Gmm q = L; [u | *| 5? 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8P 69P 9P 6:P :P 7;P* ;PF7<P] <Pv7=P =P 7>P >P 7?P ?P 7@P @P 7AP AP'8BPD BPT8CPd CP 8DPi DP 8EP EP 8FP FP 8GP GP)9HP7 HPJ9IP_ IPu9JP JP 9KP KP 9LP LP6:MPS MPn:NP NP :OP OP :PP) PP :QPs QP :RP 2X 2h 2h 3h 3h 4h 4h 5hY 2l 2ld 3l} 3lf 2t 2t 3t 2x 2x 3x 3x 4x 4x/ 5xQ 5xf 6x| 6x 7x 7x 8x 8x 9x 9x :x! :x+ ;x? ;xV <xk <x =x =x >x >xa 2| 2 2 23 3 24 4 425 5 v26 % 6 h27 7 28 E 8 Z29 ASN1_LENGTH_MISMATCH AUX_ERROR BAD_GET_ASN1_OBJECT_CALL BAD_OBJECT_HEADER BAD_TEMPLATE BMPSTRING_IS_WRONG_LENGTH BN_LIB BOOLEAN_IS_WRONG_LENGTH BUFFER_TOO_SMALL CONTEXT_NOT_INITIALISED DECODE_ERROR DEPTH_EXCEEDED DIGEST_AND_KEY_TYPE_NOT_SUPPORTED ENCODE_ERROR ERROR_GETTING_TIME EXPECTING_AN_ASN1_SEQUENCE EXPECTING_AN_INTEGER EXPECTING_AN_OBJECT EXPECTING_A_BOOLEAN EXPECTING_A_TIME EXPLICIT_LENGTH_MISMATCH EXPLICIT_TAG_NOT_CONSTRUCTED FIELD_MISSING FIRST_NUM_TOO_LARGE HEADER_TOO_LONG ILLEGAL_BITSTRING_FORMAT ILLEGAL_BOOLEAN ILLEGAL_CHARACTERS ILLEGAL_FORMAT ILLEGAL_HEX ILLEGAL_IMPLICIT_TAG ILLEGAL_INTEGER ILLEGAL_NESTED_TAGGING ILLEGAL_NULL ILLEGAL_NULL_VALUE ILLEGAL_OBJECT ILLEGAL_OPTIONAL_ANY ILLEGAL_OPTIONS_ON_ITEM_TEMPLATE ILLEGAL_TAGGED_ANY ILLEGAL_TIME_VALUE INTEGER_NOT_ASCII_FORMAT INTEGER_TOO_LARGE_FOR_LONG INVALID_BIT_STRING_BITS_LEFT INVALID_BIT_STRING_PADDING INVALID_BMPSTRING INVALID_DIGIT INVALID_INTEGER INVALID_MODIFIER INVALID_NUMBER INVALID_OBJECT_ENCODING INVALID_SEPARATOR INVALID_TIME_FORMAT INVALID_UNIVERSALSTRING INVALID_UTF8STRING LIST_ERROR MISSING_ASN1_EOS MISSING_EOC MISSING_SECOND_NUMBER MISSING_VALUE MSTRING_NOT_UNIVERSAL MSTRING_WRONG_TAG NESTED_ASN1_ERROR NESTED_ASN1_STRING NESTED_TOO_DEEP NON_HEX_CHARACTERS NOT_ASCII_FORMAT NOT_ENOUGH_DATA NO_MATCHING_CHOICE_TYPE NULL_IS_WRONG_LENGTH OBJECT_NOT_ASCII_FORMAT ODD_NUMBER_OF_CHARS SECOND_NUMBER_TOO_LARGE SEQUENCE_LENGTH_MISMATCH SEQUENCE_NOT_CONSTRUCTED SEQUENCE_OR_SET_NEEDS_CONFIG SHORT_LINE STREAMING_NOT_SUPPORTED STRING_TOO_LONG STRING_TOO_SHORT TAG_VALUE_TOO_HIGH TIME_NOT_ASCII_FORMAT TOO_LONG TYPE_NOT_CONSTRUCTED TYPE_NOT_PRIMITIVE UNEXPECTED_EOC UNIVERSALSTRING_IS_WRONG_LENGTH UNKNOWN_FORMAT UNKNOWN_MESSAGE_DIGEST_ALGORITHM UNKNOWN_SIGNATURE_ALGORITHM UNKNOWN_TAG UNSUPPORTED_ANY_DEFINED_BY_TYPE UNSUPPORTED_PUBLIC_KEY_TYPE UNSUPPORTED_TYPE WRONG_INTEGER_TYPE WRONG_PUBLIC_KEY_TYPE WRONG_TAG WRONG_TYPE BAD_FOPEN_MODE BROKEN_PIPE CONNECT_ERROR ERROR_SETTING_NBIO INVALID_ARGUMENT IN_USE KEEPALIVE NBIO_CONNECT_ERROR NO_HOSTNAME_SPECIFIED NO_PORT_SPECIFIED NO_SUCH_FILE NULL_PARAMETER SYS_LIB UNABLE_TO_CREATE_SOCKET UNINITIALIZED UNSUPPORTED_METHOD WRITE_TO_READ_ONLY_BIO ARG2_LT_ARG3 BAD_ENCODING BAD_RECIPROCAL BIGNUM_TOO_LONG BITS_TOO_SMALL CALLED_WITH_EVEN_MODULUS DIV_BY_ZERO EXPAND_ON_STATIC_BIGNUM_DATA INPUT_NOT_REDUCED INVALID_INPUT INVALID_RANGE NEGATIVE_NUMBER NOT_A_SQUARE NOT_INITIALIZED NO_INVERSE PRIVATE_KEY_TOO_LARGE P_IS_NOT_PRIME TOO_MANY_ITERATIONS TOO_MANY_TEMPORARY_VARIABLES AES_KEY_SETUP_FAILED BAD_DECRYPT BAD_KEY_LENGTH CTRL_NOT_IMPLEMENTED CTRL_OPERATION_NOT_IMPLEMENTED DATA_NOT_MULTIPLE_OF_BLOCK_LENGTH INITIALIZATION_ERROR INPUT_NOT_INITIALIZED INVALID_AD_SIZE INVALID_KEY_LENGTH INVALID_NONCE INVALID_NONCE_SIZE INVALID_OPERATION IV_TOO_LARGE NO_CIPHER_SET NO_DIRECTION_SET OUTPUT_ALIASES_INPUT TAG_TOO_LARGE TOO_LARGE UNSUPPORTED_AD_SIZE UNSUPPORTED_INPUT_SIZE UNSUPPORTED_KEY_SIZE UNSUPPORTED_NONCE_SIZE UNSUPPORTED_TAG_SIZE WRONG_FINAL_BLOCK_LENGTH LIST_CANNOT_BE_NULL MISSING_CLOSE_SQUARE_BRACKET MISSING_EQUAL_SIGN NO_CLOSE_BRACE UNABLE_TO_CREATE_NEW_SECTION VARIABLE_EXPANSION_NOT_SUPPORTED VARIABLE_EXPANSION_TOO_LONG VARIABLE_HAS_NO_VALUE BAD_GENERATOR INVALID_PARAMETERS INVALID_PUBKEY MODULUS_TOO_LARGE NO_PRIVATE_VALUE UNKNOWN_HASH BAD_Q_VALUE BAD_VERSION MISSING_PARAMETERS NEED_NEW_SETUP_VALUES BIGNUM_OUT_OF_RANGE COORDINATES_OUT_OF_RANGE D2I_ECPKPARAMETERS_FAILURE EC_GROUP_NEW_BY_NAME_FAILURE GROUP2PKPARAMETERS_FAILURE GROUP_MISMATCH I2D_ECPKPARAMETERS_FAILURE INCOMPATIBLE_OBJECTS INVALID_COFACTOR INVALID_COMPRESSED_POINT INVALID_COMPRESSION_BIT INVALID_ENCODING INVALID_FIELD INVALID_FORM INVALID_GROUP_ORDER INVALID_PRIVATE_KEY INVALID_SCALAR MISSING_PRIVATE_KEY NON_NAMED_CURVE PKPARAMETERS2GROUP_FAILURE POINT_AT_INFINITY POINT_IS_NOT_ON_CURVE PUBLIC_KEY_VALIDATION_FAILED SLOT_FULL UNDEFINED_GENERATOR UNKNOWN_GROUP UNKNOWN_ORDER WRONG_CURVE_PARAMETERS WRONG_ORDER KDF_FAILED POINT_ARITHMETIC_FAILURE UNKNOWN_DIGEST_LENGTH BAD_SIGNATURE NOT_IMPLEMENTED RANDOM_NUMBER_GENERATION_FAILED OPERATION_NOT_SUPPORTED COMMAND_NOT_SUPPORTED DIFFERENT_KEY_TYPES DIFFERENT_PARAMETERS EMPTY_PSK EXPECTING_AN_EC_KEY_KEY EXPECTING_AN_RSA_KEY EXPECTING_A_DSA_KEY ILLEGAL_OR_UNSUPPORTED_PADDING_MODE INVALID_BUFFER_SIZE INVALID_DIGEST_LENGTH INVALID_DIGEST_TYPE INVALID_KEYBITS INVALID_MGF1_MD INVALID_PADDING_MODE INVALID_PEER_KEY INVALID_PSS_SALTLEN INVALID_SIGNATURE KEYS_NOT_SET MEMORY_LIMIT_EXCEEDED NOT_A_PRIVATE_KEY NOT_XOF_OR_INVALID_LENGTH NO_DEFAULT_DIGEST NO_KEY_SET NO_MDC2_SUPPORT NO_NID_FOR_CURVE NO_OPERATION_SET NO_PARAMETERS_SET OPERATION_NOT_SUPPORTED_FOR_THIS_KEYTYPE OPERATON_NOT_INITIALIZED UNKNOWN_PUBLIC_KEY_TYPE UNSUPPORTED_ALGORITHM OUTPUT_TOO_LARGE INVALID_OID_STRING UNKNOWN_NID BAD_BASE64_DECODE BAD_END_LINE BAD_IV_CHARS BAD_PASSWORD_READ CIPHER_IS_NULL ERROR_CONVERTING_PRIVATE_KEY NOT_DEK_INFO NOT_ENCRYPTED NOT_PROC_TYPE NO_START_LINE READ_KEY SHORT_HEADER UNSUPPORTED_CIPHER UNSUPPORTED_ENCRYPTION BAD_PKCS7_VERSION NOT_PKCS7_SIGNED_DATA NO_CERTIFICATES_INCLUDED NO_CRLS_INCLUDED AMBIGUOUS_FRIENDLY_NAME BAD_ITERATION_COUNT BAD_PKCS12_DATA BAD_PKCS12_VERSION CIPHER_HAS_NO_OBJECT_IDENTIFIER CRYPT_ERROR ENCRYPT_ERROR ERROR_SETTING_CIPHER_PARAMS INCORRECT_PASSWORD INVALID_CHARACTERS KEYGEN_FAILURE KEY_GEN_ERROR METHOD_NOT_SUPPORTED MISSING_MAC MULTIPLE_PRIVATE_KEYS_IN_PKCS12 PKCS12_PUBLIC_KEY_INTEGRITY_NOT_SUPPORTED PKCS12_TOO_DEEPLY_NESTED PRIVATE_KEY_DECODE_ERROR PRIVATE_KEY_ENCODE_ERROR UNKNOWN_ALGORITHM UNKNOWN_CIPHER UNKNOWN_CIPHER_ALGORITHM UNKNOWN_DIGEST UNSUPPORTED_KEYLENGTH UNSUPPORTED_KEY_DERIVATION_FUNCTION UNSUPPORTED_OPTIONS UNSUPPORTED_PRF UNSUPPORTED_PRIVATE_KEY_ALGORITHM UNSUPPORTED_SALT_TYPE BAD_E_VALUE BAD_FIXED_HEADER_DECRYPT BAD_PAD_BYTE_COUNT BAD_RSA_PARAMETERS BLOCK_TYPE_IS_NOT_01 BLOCK_TYPE_IS_NOT_02 BN_NOT_INITIALIZED CANNOT_RECOVER_MULTI_PRIME_KEY CRT_PARAMS_ALREADY_GIVEN CRT_VALUES_INCORRECT DATA_LEN_NOT_EQUAL_TO_MOD_LEN DATA_TOO_LARGE DATA_TOO_LARGE_FOR_KEY_SIZE DATA_TOO_LARGE_FOR_MODULUS DATA_TOO_SMALL DATA_TOO_SMALL_FOR_KEY_SIZE DIGEST_TOO_BIG_FOR_RSA_KEY D_E_NOT_CONGRUENT_TO_1 D_OUT_OF_RANGE EMPTY_PUBLIC_KEY FIRST_OCTET_INVALID INCONSISTENT_SET_OF_CRT_VALUES INTERNAL_ERROR INVALID_MESSAGE_LENGTH KEY_SIZE_TOO_SMALL LAST_OCTET_INVALID MUST_HAVE_AT_LEAST_TWO_PRIMES NO_PUBLIC_EXPONENT NULL_BEFORE_BLOCK_MISSING N_NOT_EQUAL_P_Q OAEP_DECODING_ERROR ONLY_ONE_OF_P_Q_GIVEN OUTPUT_BUFFER_TOO_SMALL PADDING_CHECK_FAILED PKCS_DECODING_ERROR SLEN_CHECK_FAILED SLEN_RECOVERY_FAILED UNKNOWN_ALGORITHM_TYPE UNKNOWN_PADDING_TYPE VALUE_MISSING WRONG_SIGNATURE_LENGTH ALPN_MISMATCH_ON_EARLY_DATA ALPS_MISMATCH_ON_EARLY_DATA APPLICATION_DATA_INSTEAD_OF_HANDSHAKE APPLICATION_DATA_ON_SHUTDOWN APP_DATA_IN_HANDSHAKE ATTEMPT_TO_REUSE_SESSION_IN_DIFFERENT_CONTEXT BAD_ALERT BAD_CHANGE_CIPHER_SPEC BAD_DATA_RETURNED_BY_CALLBACK BAD_DH_P_LENGTH BAD_DIGEST_LENGTH BAD_ECC_CERT BAD_ECPOINT BAD_HANDSHAKE_RECORD BAD_HELLO_REQUEST BAD_LENGTH BAD_PACKET_LENGTH BAD_RSA_ENCRYPT BAD_SRTP_MKI_VALUE BAD_SRTP_PROTECTION_PROFILE_LIST BAD_SSL_FILETYPE BAD_WRITE_RETRY BIO_NOT_SET BLOCK_CIPHER_PAD_IS_WRONG CANNOT_HAVE_BOTH_PRIVKEY_AND_METHOD CANNOT_PARSE_LEAF_CERT CA_DN_LENGTH_MISMATCH CA_DN_TOO_LONG CCS_RECEIVED_EARLY CERTIFICATE_AND_PRIVATE_KEY_MISMATCH CERTIFICATE_VERIFY_FAILED CERT_CB_ERROR CERT_DECOMPRESSION_FAILED CERT_LENGTH_MISMATCH CHANNEL_ID_NOT_P256 CHANNEL_ID_SIGNATURE_INVALID CIPHER_MISMATCH_ON_EARLY_DATA CIPHER_OR_HASH_UNAVAILABLE CLIENTHELLO_PARSE_FAILED CLIENTHELLO_TLSEXT CONNECTION_REJECTED CONNECTION_TYPE_NOT_SET COULD_NOT_PARSE_HINTS CUSTOM_EXTENSION_ERROR DATA_LENGTH_TOO_LONG DECRYPTION_FAILED DECRYPTION_FAILED_OR_BAD_RECORD_MAC DH_PUBLIC_VALUE_LENGTH_IS_WRONG DH_P_TOO_LONG DIGEST_CHECK_FAILED DOWNGRADE_DETECTED DTLS_MESSAGE_TOO_BIG DUPLICATE_EXTENSION DUPLICATE_KEY_SHARE DUPLICATE_SIGNATURE_ALGORITHM EARLY_DATA_NOT_IN_USE ECC_CERT_NOT_FOR_SIGNING ECH_REJECTED ECH_SERVER_CONFIG_AND_PRIVATE_KEY_MISMATCH ECH_SERVER_CONFIG_UNSUPPORTED_EXTENSION ECH_SERVER_WOULD_HAVE_NO_RETRY_CONFIGS EMPTY_HELLO_RETRY_REQUEST EMS_STATE_INCONSISTENT ENCRYPTED_LENGTH_TOO_LONG ERROR_ADDING_EXTENSION ERROR_IN_RECEIVED_CIPHER_LIST ERROR_PARSING_EXTENSION EXCESSIVE_MESSAGE_SIZE EXCESS_HANDSHAKE_DATA EXTRA_DATA_IN_MESSAGE FRAGMENT_MISMATCH GOT_NEXT_PROTO_WITHOUT_EXTENSION HANDSHAKE_FAILURE_ON_CLIENT_HELLO HANDSHAKE_NOT_COMPLETE HTTPS_PROXY_REQUEST HTTP_REQUEST INAPPROPRIATE_FALLBACK INCONSISTENT_CLIENT_HELLO INCONSISTENT_ECH_NEGOTIATION INVALID_ALPN_PROTOCOL INVALID_ALPN_PROTOCOL_LIST INVALID_CLIENT_HELLO_INNER INVALID_COMMAND INVALID_COMPRESSION_LIST INVALID_DELEGATED_CREDENTIAL INVALID_ECH_CONFIG_LIST INVALID_ECH_PUBLIC_NAME INVALID_MESSAGE INVALID_OUTER_EXTENSION INVALID_OUTER_RECORD_TYPE INVALID_SCT_LIST INVALID_SIGNATURE_ALGORITHM INVALID_SSL_SESSION INVALID_TICKET_KEYS_LENGTH KEY_USAGE_BIT_INCORRECT LENGTH_MISMATCH MISSING_EXTENSION MISSING_KEY_SHARE MISSING_RSA_CERTIFICATE MISSING_TMP_DH_KEY MISSING_TMP_ECDH_KEY MIXED_SPECIAL_OPERATOR_WITH_GROUPS MTU_TOO_SMALL NEGOTIATED_ALPS_WITHOUT_ALPN NEGOTIATED_BOTH_NPN_AND_ALPN NEGOTIATED_TB_WITHOUT_EMS_OR_RI NESTED_GROUP NO_APPLICATION_PROTOCOL NO_CERTIFICATES_RETURNED NO_CERTIFICATE_ASSIGNED NO_CERTIFICATE_SET NO_CIPHERS_AVAILABLE NO_CIPHERS_PASSED NO_CIPHERS_SPECIFIED NO_CIPHER_MATCH NO_COMMON_SIGNATURE_ALGORITHMS NO_COMPRESSION_SPECIFIED NO_GROUPS_SPECIFIED NO_METHOD_SPECIFIED NO_PRIVATE_KEY_ASSIGNED NO_RENEGOTIATION NO_REQUIRED_DIGEST NO_SHARED_CIPHER NO_SHARED_GROUP NO_SUPPORTED_VERSIONS_ENABLED NULL_SSL_CTX NULL_SSL_METHOD_PASSED OCSP_CB_ERROR OLD_SESSION_CIPHER_NOT_RETURNED OLD_SESSION_PRF_HASH_MISMATCH OLD_SESSION_VERSION_NOT_RETURNED PARSE_TLSEXT PATH_TOO_LONG PEER_DID_NOT_RETURN_A_CERTIFICATE PEER_ERROR_UNSUPPORTED_CERTIFICATE_TYPE PRE_SHARED_KEY_MUST_BE_LAST PRIVATE_KEY_OPERATION_FAILED PROTOCOL_IS_SHUTDOWN PSK_IDENTITY_BINDER_COUNT_MISMATCH PSK_IDENTITY_NOT_FOUND PSK_NO_CLIENT_CB PSK_NO_SERVER_CB QUIC_INTERNAL_ERROR QUIC_TRANSPORT_PARAMETERS_MISCONFIGURED READ_TIMEOUT_EXPIRED RECORD_LENGTH_MISMATCH RECORD_TOO_LARGE RENEGOTIATION_EMS_MISMATCH RENEGOTIATION_ENCODING_ERR RENEGOTIATION_MISMATCH REQUIRED_CIPHER_MISSING RESUMED_EMS_SESSION_WITHOUT_EMS_EXTENSION RESUMED_NON_EMS_SESSION_WITH_EMS_EXTENSION SCSV_RECEIVED_WHEN_RENEGOTIATING SECOND_SERVERHELLO_VERSION_MISMATCH SERVERHELLO_TLSEXT SERVER_CERT_CHANGED SERVER_ECHOED_INVALID_SESSION_ID SESSION_ID_CONTEXT_UNINITIALIZED SESSION_MAY_NOT_BE_CREATED SHUTDOWN_WHILE_IN_INIT SIGNATURE_ALGORITHMS_EXTENSION_SENT_BY_SERVER SRTP_COULD_NOT_ALLOCATE_PROFILES SRTP_UNKNOWN_PROTECTION_PROFILE SSL3_EXT_INVALID_SERVERNAME SSLV3_ALERT_BAD_CERTIFICATE SSLV3_ALERT_BAD_RECORD_MAC SSLV3_ALERT_CERTIFICATE_EXPIRED SSLV3_ALERT_CERTIFICATE_REVOKED SSLV3_ALERT_CERTIFICATE_UNKNOWN SSLV3_ALERT_CLOSE_NOTIFY SSLV3_ALERT_DECOMPRESSION_FAILURE SSLV3_ALERT_HANDSHAKE_FAILURE SSLV3_ALERT_ILLEGAL_PARAMETER SSLV3_ALERT_NO_CERTIFICATE SSLV3_ALERT_UNEXPECTED_MESSAGE SSLV3_ALERT_UNSUPPORTED_CERTIFICATE SSL_CTX_HAS_NO_DEFAULT_SSL_VERSION SSL_HANDSHAKE_FAILURE SSL_SESSION_ID_CONTEXT_TOO_LONG SSL_SESSION_ID_TOO_LONG TICKET_ENCRYPTION_FAILED TLS13_DOWNGRADE TLSV1_ALERT_ACCESS_DENIED TLSV1_ALERT_BAD_CERTIFICATE_HASH_VALUE TLSV1_ALERT_BAD_CERTIFICATE_STATUS_RESPONSE TLSV1_ALERT_CERTIFICATE_REQUIRED TLSV1_ALERT_CERTIFICATE_UNOBTAINABLE TLSV1_ALERT_DECODE_ERROR TLSV1_ALERT_DECRYPTION_FAILED TLSV1_ALERT_DECRYPT_ERROR TLSV1_ALERT_ECH_REQUIRED TLSV1_ALERT_EXPORT_RESTRICTION TLSV1_ALERT_INAPPROPRIATE_FALLBACK TLSV1_ALERT_INSUFFICIENT_SECURITY TLSV1_ALERT_INTERNAL_ERROR TLSV1_ALERT_NO_APPLICATION_PROTOCOL TLSV1_ALERT_NO_RENEGOTIATION TLSV1_ALERT_PROTOCOL_VERSION TLSV1_ALERT_RECORD_OVERFLOW TLSV1_ALERT_UNKNOWN_CA TLSV1_ALERT_UNKNOWN_PSK_IDENTITY TLSV1_ALERT_UNRECOGNIZED_NAME TLSV1_ALERT_UNSUPPORTED_EXTENSION TLSV1_ALERT_USER_CANCELLED TLS_PEER_DID_NOT_RESPOND_WITH_CERTIFICATE_LIST TLS_RSA_ENCRYPTED_VALUE_LENGTH_IS_WRONG TOO_MANY_EMPTY_FRAGMENTS TOO_MANY_KEY_UPDATES TOO_MANY_WARNING_ALERTS TOO_MUCH_READ_EARLY_DATA TOO_MUCH_SKIPPED_EARLY_DATA UNABLE_TO_FIND_ECDH_PARAMETERS UNCOMPRESSED_CERT_TOO_LARGE UNEXPECTED_COMPATIBILITY_MODE UNEXPECTED_EXTENSION UNEXPECTED_EXTENSION_ON_EARLY_DATA UNEXPECTED_MESSAGE UNEXPECTED_OPERATOR_IN_GROUP UNEXPECTED_RECORD UNKNOWN_ALERT_TYPE UNKNOWN_CERTIFICATE_TYPE UNKNOWN_CERT_COMPRESSION_ALG UNKNOWN_CIPHER_RETURNED UNKNOWN_CIPHER_TYPE UNKNOWN_KEY_EXCHANGE_TYPE UNKNOWN_PROTOCOL UNKNOWN_SSL_VERSION UNKNOWN_STATE UNSAFE_LEGACY_RENEGOTIATION_DISABLED UNSUPPORTED_COMPRESSION_ALGORITHM UNSUPPORTED_ECH_SERVER_CONFIG UNSUPPORTED_ELLIPTIC_CURVE UNSUPPORTED_PROTOCOL UNSUPPORTED_PROTOCOL_FOR_CUSTOM_KEY WRONG_CERTIFICATE_TYPE WRONG_CIPHER_RETURNED WRONG_CURVE WRONG_ENCRYPTION_LEVEL_RECEIVED WRONG_MESSAGE_TYPE WRONG_SIGNATURE_TYPE WRONG_SSL_VERSION WRONG_VERSION_NUMBER WRONG_VERSION_ON_EARLY_DATA X509_LIB X509_VERIFICATION_SETUP_PROBLEMS BAD_VALIDITY_CHECK DECODE_FAILURE INVALID_KEY_ID INVALID_METADATA INVALID_METADATA_KEY INVALID_PROOF INVALID_TOKEN NO_KEYS_CONFIGURED NO_SRR_KEY_CONFIGURED OVER_BATCHSIZE SRR_SIGNATURE_ERROR TOO_MANY_KEYS AKID_MISMATCH BAD_X509_FILETYPE BASE64_DECODE_ERROR CANT_CHECK_DH_KEY CERT_ALREADY_IN_HASH_TABLE CRL_ALREADY_DELTA CRL_VERIFY_FAILURE DELTA_CRL_WITHOUT_CRL_NUMBER IDP_MISMATCH INVALID_DIRECTORY INVALID_FIELD_FOR_VERSION INVALID_FIELD_NAME INVALID_PARAMETER INVALID_POLICY_EXTENSION INVALID_PSS_PARAMETERS INVALID_TRUST INVALID_VERSION ISSUER_MISMATCH KEY_TYPE_MISMATCH KEY_VALUES_MISMATCH LOADING_CERT_DIR LOADING_DEFAULTS NAME_TOO_LONG NEWER_CRL_NOT_NEWER NO_CERTIFICATE_FOUND NO_CERTIFICATE_OR_CRL_FOUND NO_CERT_SET_FOR_US_TO_VERIFY NO_CRL_FOUND NO_CRL_NUMBER PUBLIC_KEY_DECODE_ERROR PUBLIC_KEY_ENCODE_ERROR SHOULD_RETRY SIGNATURE_ALGORITHM_MISMATCH UNKNOWN_KEY_TYPE UNKNOWN_PURPOSE_ID UNKNOWN_TRUST_ID WRONG_LOOKUP_TYPE BAD_IP_ADDRESS BAD_OBJECT BN_DEC2BN_ERROR BN_TO_ASN1_INTEGER_ERROR CANNOT_FIND_FREE_FUNCTION DIRNAME_ERROR DISTPOINT_ALREADY_SET DUPLICATE_ZONE_ID ERROR_CONVERTING_ZONE ERROR_CREATING_EXTENSION ERROR_IN_EXTENSION EXPECTED_A_SECTION_NAME EXTENSION_EXISTS EXTENSION_NAME_ERROR EXTENSION_NOT_FOUND EXTENSION_SETTING_NOT_SUPPORTED EXTENSION_VALUE_ERROR ILLEGAL_EMPTY_EXTENSION ILLEGAL_HEX_DIGIT INCORRECT_POLICY_SYNTAX_TAG INVALID_BOOLEAN_STRING INVALID_EXTENSION_STRING INVALID_MULTIPLE_RDNS INVALID_NAME INVALID_NULL_ARGUMENT INVALID_NULL_NAME INVALID_NULL_VALUE INVALID_NUMBERS INVALID_OBJECT_IDENTIFIER INVALID_OPTION INVALID_POLICY_IDENTIFIER INVALID_PROXY_POLICY_SETTING INVALID_PURPOSE INVALID_SECTION 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