/aosp_15_r20/external/pytorch/test/ |
H A D | test_view_ops.py | 400 a_split_dim0 = a.tensor_split(7, 0) 403 a_split_dim1 = a.tensor_split(7, 1) 1839 result1 = torch.tensor_split(a, sections, dim) 1840 result2 = torch.tensor_split( 1883 result_1 = torch.tensor_split(a, indices, dim) 1884 result_2 = torch.tensor_split( 1945 torch.tensor_split(a, sections_or_indices, dim) 1947 torch.tensor_split(a, torch.tensor(sections_or_indices), dim) 1956 torch.tensor_split(a, torch.tensor(1.1), dim) 1963 torch.tensor_split(torch.rand(S, device=device), torch.tensor(((1,),)), 0)
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/aosp_15_r20/external/pytorch/torch/distributed/pipelining/ |
H A D | microbatch.py | 190 chunk_tensors = torch.tensor_split( 430 meta_chunks = torch.tensor_split(
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H A D | schedules.py | 610 targets_split = list(torch.tensor_split(target, self._n_microbatches)) 1199 targets_split = list(torch.tensor_split(target, self._n_microbatches))
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/aosp_15_r20/external/pytorch/test/mobile/model_test/ |
H A D | tensor_ops.py | 206 torch.tensor_split(x, 1), 207 torch.tensor_split(x, [0, 1]),
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/aosp_15_r20/external/pytorch/aten/src/ATen/native/ |
H A D | NonSymbolicBC.h | 25 TORCH_API std::vector<Tensor> tensor_split(const Tensor& self, IntArrayRef indices, int64_t dim);
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H A D | TensorShape.cpp | 995 std::vector<Tensor> tensor_split(const Tensor& self, IntArrayRef indices, int64_t dim) { in tensor_split() function 1003 std::vector<Tensor> tensor_split(const Tensor& self, const Tensor& tensor_indices_or_sections, int6… in tensor_split() function 1017 return self.tensor_split(sections, dim); in tensor_split() 1027 return self.tensor_split(indices, dim); in tensor_split() 2604 return at::tensor_split(self, split_size, dim); in hsplit() 2611 return at::tensor_split(self, split_size, 0); in vsplit() 2618 return at::tensor_split(self, split_size, 2); in dsplit() 2656 return at::tensor_split(self, split_sizes, (self.dim() == 1) ? 0 : 1); in hsplit() 2661 return at::tensor_split(self, split_sizes, 0); in vsplit() 2666 return at::tensor_split(self, split_sizes, 2); in dsplit()
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/aosp_15_r20/external/pytorch/test/export/ |
H A D | test_pass_infra.py | 20 return torch.ops.aten.tensor_split.sections(y, 2)
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/aosp_15_r20/external/pytorch/torch/csrc/jit/runtime/static/ |
H A D | native_ops.cpp | 860 REGISTER_NATIVE_OPERATOR_FUNCTOR(aten::tensor_split, aten_tensor_split, [](Node* n) -> SROperator { in __anon75e5f0515402() 867 pnode->Output(0) = at::native::tensor_split(a, b, c); in __anon75e5f0515402() 887 pnode->Output(0) = at::native::tensor_split(a, b, c); in __anon75e5f0515402()
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/aosp_15_r20/external/pytorch/torch/testing/_internal/ |
H A D | custom_op_db.py | 316 return [xi.clone() for xi in torch.tensor_split(x, splits, dim)] 349 return [xi.clone() for xi in torch.tensor_split(x, splits, dim)], len(splits)
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/aosp_15_r20/external/pytorch/docs/source/ |
H A D | tensor_view.rst | 80 - :meth:`~torch.Tensor.tensor_split`
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H A D | torch.rst | 133 tensor_split
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H A D | tensors.rst | 729 Tensor.tensor_split
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/aosp_15_r20/external/pytorch/torch/_functorch/ |
H A D | vmap.py | 360 t.tensor_split(split_idxs, dim=in_dim)
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/aosp_15_r20/external/executorch/backends/apple/mps/test/ |
H A D | test_mps_models.py | 154 split = torch.ops.aten.tensor_split.sections(x, 3)
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/aosp_15_r20/external/pytorch/functorch/op_analysis/ |
H A D | public_api | 208 tensor_split
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H A D | annotated_ops | 70 tensor_split, view/reshape
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/aosp_15_r20/external/pytorch/aten/src/ATen/ |
H A D | LegacyBatchingRegistrations.cpp | 222 auto result = at::tensor_split(self_physical.tensor(), sections, dim_physical); in tensor_split_sections_batching_rule() 230 auto result = at::tensor_split(self_physical.tensor(), indices, dim_physical); in tensor_split_indices_batching_rule()
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/aosp_15_r20/external/executorch/exir/tests/ |
H A D | test_memory_planning.py | 134 s0, s1 = torch.tensor_split(a, 2)
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H A D | models.py | 222 return torch.tensor_split(input, sections, dim)
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H A D | test_passes.py | 462 return torch.ops.aten.tensor_split.sections(y, 2) 494 return torch.ops.aten.tensor_split.sections(y, 2)
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/aosp_15_r20/external/pytorch/torch/_refs/ |
H A D | __init__.py | 3956 torch.squeeze(s, dim) for s in torch.tensor_split(t, t.shape[dim], dim) 4106 def tensor_split( function 4206 return tensor_split(a, split_size, dim) 4218 return tensor_split(a, split_sizes, dim) 4246 return tensor_split(a, split_size, 0) 4258 return tensor_split(a, split_sizes, 0) 4455 return tensor_split(a, sections, 2)
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/aosp_15_r20/external/executorch/test/end2end/ |
H A D | test_end2end.py | 206 split = torch.ops.aten.tensor_split.sections(x, 3)
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/aosp_15_r20/external/pytorch/torch/_refs/nn/functional/ |
H A D | __init__.py | 1180 b, c = torch.tensor_split(a, 2, dim)
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/aosp_15_r20/external/pytorch/torch/ |
H A D | _torch_docs.py | 1834 torch.tensor_split,
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/aosp_15_r20/external/pytorch/torch/onnx/ |
H A D | symbolic_opset13.py | 139 def tensor_split( function
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