/aosp_15_r20/external/libopus/dnn/torch/neural-pitch/ |
H A D | models.py | 145 …return torch.from_numpy(self.if_feat[index,:,:]), torch.from_numpy(self.cents[index]), torch.from_… 174 …from_numpy((1./127)*self.xcorr[index,:,:]), torch.from_numpy((1./127)*self.if_feat[index,:,:])], d… 176 …return torch.from_numpy((1./127)*self.if_feat[index,:,:]),torch.from_numpy(self.cents[index]),torc… 178 …return torch.from_numpy((1./127)*self.xcorr[index,:,:]),torch.from_numpy(self.cents[index]),torch.…
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H A D | evaluation.py | 112 model_cents = model(torch.from_numpy(np.copy(np.expand_dims(feature,0))).float().to(device)) 255 … model_cents = pitch_nn(torch.from_numpy(np.copy(np.expand_dims(feature,0))).float().to(device))
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/aosp_15_r20/external/pytorch/benchmarks/operator_benchmark/pt/ |
H A D | qembedding_bag_lookups_test.py | 73 indicator = torch.from_numpy( 118 self.indices = torch.from_numpy( 133 self.weights = torch.from_numpy( 138 self.indices = torch.from_numpy( 147 torch.from_numpy( 229 self.indices = torch.from_numpy( 244 self.weights = torch.from_numpy( 249 self.indices = torch.from_numpy( 259 torch.from_numpy(
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/aosp_15_r20/external/libopus/dnn/torch/weight-exchange/wexchange/torch/ |
H A D | torch.py | 243 gru.weight_ih_l0.set_(torch.from_numpy(w_ih)) 244 gru.weight_hh_l0.set_(torch.from_numpy(w_hh)) 245 gru.bias_ih_l0.set_(torch.from_numpy(b_ih)) 246 gru.bias_hh_l0.set_(torch.from_numpy(b_hh)) 273 dense.weight.set_(torch.from_numpy(w)) 275 dense.bias.set_(torch.from_numpy(b)) 301 conv.weight.set_(torch.from_numpy(w)) 305 conv.bias.set_(torch.from_numpy(b)) 331 conv.weight.set_(torch.from_numpy(w)) 335 conv.bias.set_(torch.from_numpy(b)) [all …]
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/aosp_15_r20/external/pytorch/test/ |
H A D | test_numpy_interop.py | 32 self.assertWarns(UserWarning, lambda: torch.from_numpy(arr)) 37 y = torch.from_numpy(x) 227 tensor_from_array = torch.from_numpy(array) 237 tensor_from_array2 = torch.from_numpy(array2) 244 tensor_from_array = torch.from_numpy(array) 251 self.assertEqual(torch.from_numpy(x), expected) 257 self.assertEqual(torch.from_numpy(x.T), expected) 264 self.assertEqual(torch.from_numpy(x), expected) 268 self.assertEqual(torch.from_numpy(x).shape, (0, 2)) 270 self.assertEqual(torch.from_numpy(x).shape, (2, 0)) [all …]
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H A D | test_bundled_images.py | 47 enc_img_tensor = torch.from_numpy(enc_img) 57 raw_data = torch.from_numpy(raw_data).float() 70 tensor = torch.from_numpy(im)
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H A D | test_unary_ufuncs.py | 172 torch.from_numpy(expected).to(actual.dtype), 702 np_result = torch.from_numpy(np_fn(a)) 713 self.assertEqual(torch.from_numpy(np_float_out), float_out.cpu()) 718 self.assertEqual(torch.from_numpy(np_float_out), float_out.cpu()) 724 self.assertEqual(torch.from_numpy(np_complex_out), complex_out.cpu()) 729 self.assertEqual(torch.from_numpy(np_complex_out), complex_out.cpu()) 748 self.assertEqual(torch.from_numpy(a), t.cpu()) 1040 expected_output = torch.from_numpy(expected_output_np).to(device) 1046 input = torch.from_numpy(input_np).clone().contiguous().to(device) 1057 input = torch.from_numpy(input_np).clone().to(device) [all …]
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H A D | test_custom_ops.py | 1951 return torch.from_numpy(np.sin(x.numpy())) 1966 return torch.from_numpy(np.sin(x.numpy())) 1977 return torch.from_numpy(np.sin(x.numpy())) 1990 return torch.from_numpy(np.sin(x.numpy())) 2017 y = torch.from_numpy(np.sin(x_np)) 2041 y = torch.from_numpy(np.sin(x_np)) 2215 return torch.from_numpy(out_np).to(x.device) 2230 return torch.from_numpy(out_np) 2242 return torch.from_numpy(out_np).to(x.device) 2281 return torch.from_numpy(out_np).to(x.device) [all …]
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H A D | test_shape_ops.py | 482 out_t = torch.from_numpy(np_out_t) 486 out_t = torch.from_numpy(np_out_t) 493 out_t = torch.from_numpy(np_out_t) 499 out_t = torch.from_numpy(np_out_t) 722 np_result = torch.from_numpy(np.stack(np_array.nonzero())).t()
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H A D | test_binary_ufuncs.py | 110 torch.from_numpy(expected).to(actual.dtype), 1017 torch.from_numpy(expect), 1088 expect = torch.from_numpy(np_ref(an, bn)) 1439 torch.from_numpy(np_res) 2156 a_tensor = torch.from_numpy(a_np).to(device=device, dtype=dtype) 2157 b_tensor = torch.from_numpy(b_np).to(device=device, dtype=dtype) 2192 a_tensor = torch.from_numpy(a_np).to(device=device, dtype=dtype) 2193 b_tensor = torch.from_numpy(b_np).to(device=device, dtype=dtype) 2245 a_tensor = torch.from_numpy(a_np).to(device=device, dtype=dtype) 2246 b_tensor = torch.from_numpy(b_np).to(device=device, dtype=dtype) [all …]
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/aosp_15_r20/external/executorch/examples/mediatek/eval_utils/ |
H A D | eval_oss_result.py | 58 cnt10 += solve(torch.from_numpy(pred_npy), torch.from_numpy(target_npy), 10) 59 cnt50 += solve(torch.from_numpy(pred_npy), torch.from_numpy(target_npy), 50) 75 hr = torch.from_numpy(hr) 80 sr = torch.from_numpy(sr).clamp(0, 1)
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/aosp_15_r20/external/libopus/dnn/torch/osce/utils/layers/ |
H A D | silk_upsampler.py | 112 …self.hq_2x_up_even = nn.Parameter(torch.from_numpy(hq_2x_up_even).float().view(1, 1, -1), requires… 113 …self.hq_2x_up_odd = nn.Parameter(torch.from_numpy(hq_2x_up_odd ).float().view(1, 1, -1), requires… 121 … self.frac_01_24 = nn.Parameter(torch.from_numpy(frac_01_24).view(1, 1, -1), requires_grad=False) 122 … self.frac_17_24 = nn.Parameter(torch.from_numpy(frac_17_24).view(1, 1, -1), requires_grad=False) 123 … self.frac_09_24 = nn.Parameter(torch.from_numpy(frac_09_24).view(1, 1, -1), requires_grad=False)
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/aosp_15_r20/external/pytorch/test/quantization/core/ |
H A D | test_quantized_op.py | 182 X = torch.from_numpy(X) 440 X = torch.from_numpy(X) 466 X = torch.from_numpy(X) 647 X = torch.from_numpy(X) 676 X = torch.from_numpy(X) 707 Y_clamp = torch.clamp(torch.from_numpy(X), min=min_val, max=max_val) 711 X = torch.from_numpy(X) 754 qY = torch.quantize_per_tensor(torch.from_numpy(Y), scale=scale, 756 X = torch.from_numpy(X) 824 qA = torch.quantize_per_tensor(torch.from_numpy(A), scale, zero_point, dtype) [all …]
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/aosp_15_r20/external/libopus/dnn/torch/osce/utils/ |
H A D | silk_features.py | 144 …return torch.from_numpy(signal), torch.from_numpy(features), torch.from_numpy(periods), torch.from…
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/aosp_15_r20/external/pytorch/test/xpu/ |
H A D | test_gemm.py | 56 res3_t = torch.from_numpy(res3).to(dtype) 62 res3 = torch.from_numpy(res3).to(dtype) 345 expect = torch.from_numpy( 460 torch.from_numpy( 488 torch.from_numpy( 510 torch.from_numpy( 549 ref = torch.from_numpy( 567 ref = torch.from_numpy( 578 ref = torch.from_numpy( 591 cn = torch.from_numpy( [all …]
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/aosp_15_r20/external/executorch/examples/models/llama/experimental/ |
H A D | load_gguf_q4_0.py | 73 packed = torch.from_numpy(tensor.data).reshape(-1, 18) 141 state_dict[model_key] = torch.from_numpy(new_tensor) 146 unpacked = to_float(torch.from_numpy(tensor.data.reshape(-1, 18)))
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/aosp_15_r20/external/pytorch/benchmarks/sparse/ |
H A D | utils.py | 32 dense = torch.from_numpy(dense.reshape(shape)) 59 dense = torch.from_numpy(dense.reshape(shape))
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/aosp_15_r20/external/pytorch/test/nn/ |
H A D | test_multihead_attention.py | 164 saved_k_tensor = torch.from_numpy(saved_k).to( 168 saved_v_tensor = torch.from_numpy(saved_v).to( 177 key_padding_mask_tensor = torch.from_numpy(key_padding_mask) 183 attn_mask_tensor = torch.from_numpy(attn_mask).float() 187 decoder_state_tensor = torch.from_numpy(decoder_state).to( 191 torch.from_numpy(K).to(torch.get_default_dtype()).transpose(0, 1)
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/aosp_15_r20/external/libopus/dnn/torch/osce/stndrd/evaluation/ |
H A D | lace_loss_metric.py | 185 return torch.from_numpy(RE) 315 x = torch.from_numpy(x_ref).to(device) 316 y = torch.from_numpy(x_deg).to(device)
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/aosp_15_r20/external/libopus/dnn/torch/fwgan/ |
H A D | inference.py | 83 …bfcc_with_corr = torch.from_numpy(np.hstack((bfcc, corr))).type(torch.FloatTensor).unsqueeze(0)#.… 85 period = torch.from_numpy((0.1 + 50 * np.copy(feat[:, 18:19]) + 100)\
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/aosp_15_r20/external/executorch/examples/mediatek/aot_utils/llm_utils/ |
H A D | utils.py | 284 return torch.from_numpy(alibi.copy()) 335 return torch.from_numpy(combined_mask.copy()) 411 return torch.from_numpy(rot_emb).to(dtype)
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/aosp_15_r20/external/pytorch/test/onnx/ |
H A D | test_pytorch_onnx_no_runtime.py | 766 seq_lens = torch.from_numpy(seq_lens) 767 x = torch.autograd.Variable(torch.from_numpy(x), requires_grad=True) 828 seq_lens = torch.from_numpy(np.array([11, 3, 2, 2, 1], dtype=np.int32)) 885 seq_lens = torch.from_numpy(np.array([11, 3, 2, 2, 1], dtype=np.int32)) 1162 data = torch.from_numpy(data_numpy).to(dtype=torch.float)
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/aosp_15_r20/external/executorch/backends/arm/test/ |
H A D | runner_utils.py | 337 tosa_ref_output = torch.from_numpy(tosa_ref_output).reshape(output_shape) 467 tosa_ref_outputs.append(torch.from_numpy(tosa_ref_output))
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/aosp_15_r20/external/pytorch/benchmarks/distributed/rpc/parameter_server/data/ |
H A D | DummyData.py | 44 return torch.from_numpy(np.array(data))
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/aosp_15_r20/external/executorch/extension/gguf_util/converters/ |
H A D | llama_converter.py | 68 state_dict[nn_tensor_name] = torch.from_numpy(new_tensor)
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