wehub-resource-sync
50 lines
1.7 KiB
C++
50 lines
1.7 KiB
C++
// Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <ATen/core/Tensor.h>
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#include <c10/core/Layout.h>
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#include <c10/core/ScalarType.h>
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#include <c10/util/ArrayRef.h>
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#include <c10/util/Exception.h>
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#include <c10/util/accumulate.h>
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#include <algorithm>
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#include "paddle/phi/api/include/sparse_api.h"
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#include "paddle/phi/api/include/tensor.h"
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namespace compat {
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// Helper function to convert dense tensor to sparse based on layout
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inline at::Tensor _PD_ConvertToSparseIfNeeded(
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const paddle::Tensor& dense_tensor, c10::Layout layout) {
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switch (layout) {
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case c10::kStrided:
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return dense_tensor;
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case c10::kSparse:
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// Convert to sparse COO format, sparse_dim = number of dimensions
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return paddle::experimental::sparse::to_sparse_coo(
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dense_tensor, dense_tensor.dims().size());
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case c10::kSparseCsr:
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return paddle::experimental::sparse::to_sparse_csr(dense_tensor);
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default:
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PD_CHECK(false,
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"Unsupported layout for sparse tensor creation. "
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"Supported layouts: Strided, Sparse (COO), SparseCsr.");
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}
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}
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} // namespace compat
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