/external/pytorch/torch/onnx/_internal/fx/ |
D | decomposition_skip.py | 88 op_callable = torch._C._nn.upsample_bilinear2d # type: ignore[attr-defined] 90 new_op_name = "upsample_bilinear2d" 99 …torch._C._nn.upsample_bilinear2d = torch.ops.onnx_export.upsample_bilinear2d # type: ignore[attr-… 111 torch._C._nn.upsample_bilinear2d = cls.op_callable # type: ignore[attr-defined]
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/external/pytorch/aten/src/ATen/native/ |
D | UpSampleBilinear2d.cpp | 18 #include <ATen/ops/upsample_bilinear2d.h> 26 TORCH_META_FUNC(upsample_bilinear2d) ( in TORCH_META_FUNC() argument 160 Tensor upsample_bilinear2d( in upsample_bilinear2d() function 168 return at::upsample_bilinear2d(input, osize, align_corners, scale_h, scale_w); in upsample_bilinear2d()
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D | ts_native_functions.yaml | 139 - upsample_bilinear2d
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/external/pytorch/aten/src/ATen/native/vulkan/ops/ |
D | Upsample.cpp | 97 static Tensor upsample_bilinear2d( in upsample_bilinear2d() function 186 TORCH_SELECTIVE_NAME("aten::upsample_bilinear2d"), in TORCH_LIBRARY_IMPL() 187 TORCH_FN(upsample_bilinear2d)); in TORCH_LIBRARY_IMPL()
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/external/executorch/backends/mediatek/ |
D | partitioner.py | 75 torch.ops.aten.upsample_bilinear2d.default, 76 torch.ops.aten.upsample_bilinear2d.vec,
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/external/pytorch/torch/onnx/_internal/exporter/ |
D | _decomp.py | 55 aten.upsample_bilinear2d.default, 56 aten.upsample_bilinear2d.vec,
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/external/executorch/backends/qualcomm/builders/ |
D | op_upsample_bilinear2d.py | 19 target = ["aten.upsample_bilinear2d.default"]
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/external/executorch/backends/xnnpack/operators/ |
D | op_static_resize_bilinear_2d.py | 26 target = "aten.upsample_bilinear2d.vec"
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/external/executorch/backends/qualcomm/_passes/ |
D | convert_interpolate_with_upsample2d.py | 43 upsample_op = exir_ops.edge.aten.upsample_bilinear2d.default
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D | layout_transform.py | 41 exir_ops.edge.aten.upsample_bilinear2d.default,
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/external/executorch/backends/xnnpack/_passes/ |
D | convert_to_upsample_bilinear2d.py | 39 exir_ops.edge.aten.upsample_bilinear2d.vec,
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D | channels_last_tagged_reshape_pass.py | 47 exir_ops.edge.aten.upsample_bilinear2d.vec,
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/external/executorch/backends/xnnpack/partition/config/ |
D | generic_node_configs.py | 304 target_name = "upsample_bilinear2d.vec" 310 return torch.ops.aten.upsample_bilinear2d.vec
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/external/pytorch/aten/src/ATen/functorch/ |
D | BatchRulesDecompositions.cpp | 339 m.impl("upsample_bilinear2d.vec", native::upsample_bilinear2d); in TORCH_LIBRARY_IMPL()
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/external/pytorch/torch/onnx/ |
D | symbolic_opset8.py | 86 "aten::upsample_bilinear2d", 87 decorate=[symbolic_helper._apply_params("upsample_bilinear2d", 4, "linear")],
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/external/executorch/backends/xnnpack/partition/ |
D | configs.py | 43 exir_ops.edge.aten.upsample_bilinear2d.default,
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/external/pytorch/aten/src/ATen/native/quantized/cpu/ |
D | UpSampleBilinear2d.cpp | 201 input_contig.scalar_type(), "upsample_bilinear2d", [&] { in upsample_bilinear2d_quantized_cpu()
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/external/pytorch/torch/csrc/jit/passes/utils/ |
D | op_registry.cpp | 48 …"aten::upsample_bilinear2d(Tensor self, int[] output_size, bool align_corners, float? scales_h, fl… in nn_ops_first_input_preserving()
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/external/pytorch/test/export/ |
D | testing.py | 95 aten.upsample_bilinear2d.vec,
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/external/pytorch/test/edge/ |
D | selected_operators.yaml | 428 aten::upsample_bilinear2d.vec_out:
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/external/pytorch/functorch/op_analysis/ |
D | annotated_ops | 478 upsample_bilinear2d, misc
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/external/pytorch/test/jit/ |
D | test_dtype_analysis.py | 79 "upsample_bilinear2d",
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/external/pytorch/aten/src/ATen/native/mps/operations/ |
D | UpSample.mm | 19 #include <ATen/ops/upsample_bilinear2d.h>
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/external/pytorch/torch/csrc/api/include/torch/nn/functional/ |
D | upsampling.h | 207 return torch::upsample_bilinear2d( in interpolate()
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/external/pytorch/torch/csrc/jit/passes/quantization/ |
D | quantization_patterns.h | 855 "aten::upsample_bilinear2d", in quant_fusion_pattern_and_replacements() 875 auto upsample_bilinear2d = getInputTensorQParamOpFusionInfo( in quant_fusion_pattern_and_replacements() local 876 "aten::upsample_bilinear2d", in quant_fusion_pattern_and_replacements() 1060 std::move(upsample_bilinear2d), in quant_fusion_pattern_and_replacements()
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