Home
last modified time | relevance | path

Searched full:adaptive_avg_pool1d (Results 1 – 25 of 44) sorted by relevance

12

/aosp_15_r20/external/pytorch/aten/src/ATen/native/
H A DPooling.cpp43 Tensor adaptive_avg_pool1d(const Tensor & self, IntArrayRef output_size) { in adaptive_avg_pool1d() function
44 checkDimRange("adaptive_avg_pool1d", TensorArg(self, "self", 1), 2, 4 /* exclusive */); in adaptive_avg_pool1d()
45 check1d("adaptive_avg_pool1d", "output_size", output_size); in adaptive_avg_pool1d()
/aosp_15_r20/external/pytorch/torch/csrc/api/include/torch/nn/functional/
H A Dpooling.h539 inline Tensor adaptive_avg_pool1d( in adaptive_avg_pool1d() function
542 return torch::adaptive_avg_pool1d(input, output_size); in adaptive_avg_pool1d()
548 /// https://pytorch.org/docs/main/nn.functional.html#torch.nn.functional.adaptive_avg_pool1d
558 /// F::adaptive_avg_pool1d(x, F::AdaptiveAvgPool1dFuncOptions(3));
560 inline Tensor adaptive_avg_pool1d( in adaptive_avg_pool1d() function
563 return detail::adaptive_avg_pool1d(input, options.output_size()); in adaptive_avg_pool1d()
H A Dupsampling.h174 return detail::adaptive_avg_pool1d( in interpolate()
/aosp_15_r20/external/pytorch/torch/ao/ns/fx/
H A Dmappings.py72 F.adaptive_avg_pool1d,
543 torch.adaptive_avg_pool1d,
/aosp_15_r20/external/pytorch/torch/_functorch/
H A Dtop_operators_github_usage.py377 ("nn.functional.adaptive_avg_pool1d", 43),
477 ("nn.AdaptiveAvgPool1d", 2481, "nn.functional.adaptive_avg_pool1d"),
/aosp_15_r20/external/pytorch/torch/csrc/api/include/torch/nn/options/
H A Dpooling.h301 /// Options for `torch::nn::functional::adaptive_avg_pool1d`.
309 /// F::adaptive_avg_pool1d(x, F::AdaptiveAvgPool1dFuncOptions(3));
/aosp_15_r20/external/pytorch/docs/source/scripts/
H A Dbuild_quantization_configs.py49 # torch._VariableFunctionsClass.adaptive_avg_pool1d
/aosp_15_r20/external/pytorch/torch/csrc/jit/passes/quantization/
H A Dhelper.cpp129 "adaptive_avg_pool1d",
148 "adaptive_avg_pool1d",
H A Dquantization_patterns.h827 auto adaptive_avg_pool1d = getInputTensorQParamOpFusionInfo( in quant_fusion_pattern_and_replacements() local
828 "aten::adaptive_avg_pool1d", {"%output_size"}); in quant_fusion_pattern_and_replacements()
1051 std::move(adaptive_avg_pool1d), in quant_fusion_pattern_and_replacements()
/aosp_15_r20/external/pytorch/docs/source/
H A Dnn.functional.rst47 adaptive_avg_pool1d
/aosp_15_r20/external/pytorch/functorch/op_analysis/
H A Dpublic_api441 nn.functional.adaptive_avg_pool1d
/aosp_15_r20/external/pytorch/test/mobile/model_test/
H A Dcoverage.yaml49 - aten::adaptive_avg_pool1d
732 aten::adaptive_avg_pool1d: 1
H A Dmodel_ops.yaml47 aten::adaptive_avg_pool1d: 1
/aosp_15_r20/external/pytorch/torch/csrc/jit/passes/utils/
H A Dop_registry.cpp31 "aten::adaptive_avg_pool1d(Tensor self, int[] output_size) -> Tensor", in nn_ops_first_input_preserving()
/aosp_15_r20/external/pytorch/test/jit/
H A Dtest_dtype_analysis.py39 "nn.functional.adaptive_avg_pool1d",
/aosp_15_r20/external/pytorch/test/cpp_api_parity/
H A Dparity-tracker.md181 F::adaptive_avg_pool1d|Yes|No
/aosp_15_r20/external/pytorch/aten/src/ATen/functorch/
H A DBatchRulesDecompositions.cpp57 OP_DECOMPOSE(adaptive_avg_pool1d); in TORCH_LIBRARY_IMPL()
/aosp_15_r20/external/pytorch/torch/csrc/api/src/nn/modules/
H A Dpooling.cpp191 return F::detail::adaptive_avg_pool1d(input, options.output_size()); in forward()
/aosp_15_r20/external/pytorch/torch/csrc/jit/runtime/
H A Dsymbolic_script.cpp1263 def adaptive_avg_pool1d(self,
1269 return torch.adaptive_avg_pool1d(self, output_size), backward
H A Dregister_prim_ops_fulljit.cpp528 return at::adaptive_avg_pool1d( in interpolate()
/aosp_15_r20/external/pytorch/torch/ao/quantization/backend_config/
H A D_common_operator_config_utils.py638 torch.adaptive_avg_pool1d,
/aosp_15_r20/external/pytorch/test/distributed/_tensor/
H A Dtest_dtensor_ops.py277 xfail("nn.functional.adaptive_avg_pool1d"),
/aosp_15_r20/external/pytorch/torch/ao/quantization/
H A Dutils.py61 torch.nn.functional.adaptive_avg_pool1d,
/aosp_15_r20/external/pytorch/test/quantization/jit/
H A Dtest_quantize_jit.py2900 self.adaptive_avg_pool1d = torch.nn.AdaptiveAvgPool1d(1)
2913 x = self.adaptive_avg_pool1d(x)
2919 x = F.adaptive_avg_pool1d(x, (1))
/aosp_15_r20/external/pytorch/test/
H A Dallowlist_for_publicAPI.json578 "adaptive_avg_pool1d",

12