Searched full:resolve_conj (Results 1 – 25 of 45) sorted by relevance
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| /external/pytorch/test/profiler/ |
| D | test_profiler_tree.py | 617 aten::resolve_conj
618 aten::resolve_conj
619 aten::resolve_conj
664 aten::resolve_conj
665 aten::resolve_conj
666 aten::resolve_conj
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| /external/pytorch/torch/csrc/utils/ |
| D | tensor_list.cpp | 51 Tensor data = tensor.resolve_conj().resolve_neg(); in tensor_to_list()
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| D | tensor_numpy.cpp | 156 "Use tensor.resolve_conj().numpy() instead."); in tensor_to_numpy()
164 auto prepared_tensor = tensor.detach().cpu().resolve_conj().resolve_neg(); in tensor_to_numpy()
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| /external/pytorch/aten/src/ATen/native/ |
| D | NegateFallback.cpp | 30 m.impl("resolve_conj", torch::CppFunction::makeFallthrough()); in TORCH_LIBRARY_IMPL()
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| D | ComplexHelper.h | 60 … To resolve the conjugate tensor so you can view it as real, use self.resolve_conj(); however, be … in view_as_real()
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| D | Convolution.cpp | 856 auto [i_r, i_i] = complex_to_real(input.resolve_conj()); in complex_convolution()
857 auto [w_r, w_i] = complex_to_real(weight.resolve_conj()); in complex_convolution()
873 auto [b_r, b_i] = complex_to_real(bias.resolve_conj()); in complex_convolution()
893 auto [i_r, i_i] = complex_to_real(input.resolve_conj()); in complex_convolution_mode()
894 auto [w_r, w_i] = complex_to_real(weight.resolve_conj()); in complex_convolution_mode()
903 auto [b_r, b_i] = complex_to_real(bias.resolve_conj()); in complex_convolution_mode()
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| D | LinearAlgebra.cpp | 1446 c = result.resolve_conj(); in addmm_impl_cpu_()
1453 c = result.resolve_conj(); in addmm_impl_cpu_()
1457 c = result.resolve_conj().transpose(0, 1).contiguous().transpose_(0, 1); in addmm_impl_cpu_()
1471 a = m1.resolve_conj(); in addmm_impl_cpu_()
1488 b = m2.resolve_conj(); in addmm_impl_cpu_()
1878 bmm_out_or_baddbmm_(result, batch1.resolve_conj(), batch2.resolve_conj(), beta, alpha, false); in TORCH_IMPL_FUNC()
1888 …bmm_out_or_baddbmm_(result, batch1.resolve_conj(), batch2.resolve_conj(), Scalar(0.0), Scalar(1.0)… in TORCH_IMPL_FUNC()
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| D | LinearAlgebraUtils.h | 32 return c10::MaybeOwned<Tensor>::owned(tensor.resolve_conj()); in expect_resolved_conj()
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| /external/pytorch/aten/src/ATen/ |
| D | ConjugateFallback.cpp | 30 m.impl("resolve_conj", torch::CppFunction::makeFallthrough()); in TORCH_LIBRARY_IMPL()
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| D | FunctionalInverses.cpp | 126 return at::view_as_real(mutated_view.resolve_conj()); in view_as_complex_inverse()
128 return at::view_as_real_copy(mutated_view.resolve_conj()); in view_as_complex_inverse()
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| /external/pytorch/functorch/op_analysis/ |
| D | public_api | 588 resolve_conj
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| D | annotated_ops | 21 resolve_conj, complex
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| /external/pytorch/torch/onnx/_internal/ |
| D | io_adapter.py | 294 torch.view_as_real(arg.resolve_conj())
500 torch.view_as_real(output.resolve_conj())
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| /external/pytorch/torch/onnx/_internal/exporter/ |
| D | _onnx_program.py | 313 torch.view_as_real(arg.resolve_conj())
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| /external/pytorch/docs/source/ |
| D | torch.rst | 572 resolve_conj
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| D | tensors.rst | 363 Tensor.resolve_conj
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| /external/pytorch/aten/src/ATen/functorch/ |
| D | BatchRulesDecompositions.cpp | 231 OP_DECOMPOSE(resolve_conj); in TORCH_LIBRARY_IMPL()
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| /external/pytorch/test/mobile/model_test/ |
| D | model_ops.yaml | 310 aten::resolve_conj: 12
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| D | coverage.yaml | 516 - aten::resolve_conj
947 aten::resolve_conj: 1
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| D | math_ops.py | 372 torch.resolve_conj(a),
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| /external/pytorch/aten/src/ATen/native/cuda/ |
| D | Blas.cpp | 50 c10::MaybeOwned<Tensor> inline resolve_conj_if_indicated(const Tensor& tensor, bool resolve_conj) { in resolve_conj_if_indicated() argument
51 if (resolve_conj && tensor.is_conj()) { in resolve_conj_if_indicated()
52 return c10::MaybeOwned<Tensor>::owned(tensor.resolve_conj()); in resolve_conj_if_indicated()
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| /external/pytorch/torch/ |
| D | _tensor_str.py | 346 self = self.resolve_conj()
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| /external/pytorch/test/ |
| D | test_numpy_interop.py | 184 y = x.resolve_conj()
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| /external/pytorch/torch/onnx/_internal/fx/ |
| D | fx_onnx_interpreter.py | 578 fake_tensor = torch.view_as_real(fake_tensor.resolve_conj())
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| /external/pytorch/torch/_subclasses/ |
| D | functional_tensor.py | 133 # return at::view_as_real(x.resolve_conj());
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