| /aosp_15_r20/external/pytorch/aten/src/ATen/native/ |
| H A D | UpSampleLinear1d.cpp | 14 #include <ATen/ops/upsample_linear1d.h>
22 TORCH_META_FUNC(upsample_linear1d) ( in TORCH_META_FUNC() argument
91 Tensor upsample_linear1d( in upsample_linear1d() function
98 return at::upsample_linear1d(input, osize, align_corners, scale_w); in upsample_linear1d()
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| H A D | native_functions.yaml | 12487 - func: upsample_linear1d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? sca…
12489 autogen: upsample_linear1d.vec_out
12538 - func: upsample_linear1d.out(Tensor self, SymInt[1] output_size, bool align_corners, float? scales…
12546 - func: upsample_linear1d(Tensor self, SymInt[1] output_size, bool align_corners, float? scales=Non…
12548 structured_delegate: upsample_linear1d.out
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| /aosp_15_r20/external/pytorch/torch/onnx/_internal/exporter/ |
| H A D | _decomp.py | 57 aten.upsample_linear1d.default,
58 aten.upsample_linear1d.vec,
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| /aosp_15_r20/external/pytorch/aten/src/ATen/functorch/ |
| H A D | BatchRulesDecompositions.cpp | 343 m.impl("upsample_linear1d.vec", native::upsample_linear1d); in TORCH_LIBRARY_IMPL()
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| H A D | BatchRulesModules.cpp | 386 EXISTING_BDIM(upsample_linear1d); in TORCH_LIBRARY_IMPL()
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| /aosp_15_r20/external/pytorch/torch/onnx/ |
| H A D | symbolic_opset8.py | 82 "aten::upsample_linear1d",
83 decorate=[symbolic_helper._apply_params("upsample_linear1d", 3, "linear")],
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| H A D | symbolic_opset10.py | 443 "aten::upsample_linear1d",
444 decorate=[symbolic_helper._apply_params("upsample_linear1d", 3, "linear")],
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| H A D | symbolic_opset11.py | 347 "aten::upsample_linear1d",
348 decorate=[symbolic_helper._apply_params("upsample_linear1d", 3, "linear")],
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| H A D | symbolic_opset9.py | 1871 "aten::upsample_linear1d",
1873 symbolic_helper._apply_params("upsample_linear1d", 3, "linear"),
1874 _export("upsample_linear1d"),
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| /aosp_15_r20/external/pytorch/torch/csrc/jit/passes/quantization/ |
| H A D | quantization_patterns.h | 851 "aten::upsample_linear1d", in quant_fusion_pattern_and_replacements()
872 auto upsample_linear1d = getInputTensorQParamOpFusionInfo( in quant_fusion_pattern_and_replacements() local
873 "aten::upsample_linear1d", {"%output_size", "%align_corners", "%scales"}); in quant_fusion_pattern_and_replacements()
1059 std::move(upsample_linear1d), in quant_fusion_pattern_and_replacements()
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| H A D | helper.cpp | 155 "upsample_linear1d",
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| /aosp_15_r20/external/pytorch/test/mobile/lightweight_dispatch/ |
| H A D | tests_setup.py | 74 # upsample_linear1d.vec(Tensor input, int[]? output_size, bool align_corners, float[]? scale_factor…
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| /aosp_15_r20/external/pytorch/test/mobile/model_test/ |
| H A D | coverage.yaml | 621 - aten::upsample_linear1d.vec
1003 aten::upsample_linear1d.vec: 1
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| H A D | model_ops.yaml | 380 aten::upsample_linear1d.vec: 1
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| /aosp_15_r20/external/pytorch/torch/csrc/jit/passes/utils/ |
| H A D | op_registry.cpp | 49 …"aten::upsample_linear1d(Tensor self, int[] output_size, bool align_corners, float? scales) -> Ten… in nn_ops_first_input_preserving()
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| /aosp_15_r20/external/pytorch/test/export/ |
| H A D | testing.py | 97 aten.upsample_linear1d.vec,
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| /aosp_15_r20/external/pytorch/functorch/op_analysis/ |
| H A D | annotated_ops | 477 upsample_linear1d, misc
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| /aosp_15_r20/external/pytorch/test/jit/ |
| H A D | test_dtype_analysis.py | 80 "upsample_linear1d",
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| /aosp_15_r20/external/pytorch/aten/src/ATen/native/mps/operations/ |
| H A D | UpSample.mm | 23 #include <ATen/ops/upsample_linear1d.h>
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| /aosp_15_r20/external/pytorch/torch/csrc/api/include/torch/nn/functional/ |
| H A D | upsampling.h | 185 return torch::upsample_linear1d( in interpolate()
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| /aosp_15_r20/external/pytorch/torch/_decomp/ |
| H A D | __init__.py | 470 aten.upsample_linear1d,
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| H A D | decompositions.py | 3629 @aten.upsample_linear1d.vec.py_impl(DispatchKey.CompositeImplicitAutograd)
3630 @aten.upsample_linear1d.vec.py_impl(DispatchKey.Autograd)
3641 @register_decomposition([aten.upsample_linear1d.default, aten.upsample_linear1d.out])
3643 def upsample_linear1d( function
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| /aosp_15_r20/external/pytorch/torch/csrc/jit/runtime/ |
| H A D | register_prim_ops_fulljit.cpp | 537 return at::upsample_linear1d( in interpolate()
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| /aosp_15_r20/external/pytorch/aten/src/ATen/ |
| H A D | autocast_mode.h | 863 _(upsample_linear1d) \
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| /aosp_15_r20/external/pytorch/docs/source/ |
| H A D | conf.py | 1719 "upsample_linear1d",
|