wehub-resource-sync
94 lines
3.3 KiB
C++
94 lines
3.3 KiB
C++
// Copyright (c) 2025 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/TensorOptions.h>
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#include <utils/dense_sparse_conversion.h>
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#include <utils/pinned_place.h>
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#include <optional>
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#include <string_view>
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#include "paddle/phi/api/include/api.h"
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#include "paddle/phi/api/include/sparse_api.h"
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#include "paddle/phi/common/place.h"
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namespace at {
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inline at::Tensor zeros_like(
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const at::Tensor& self,
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at::TensorOptions options = {},
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::std::optional<at::MemoryFormat> memory_format = ::std::nullopt) {
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PD_CHECK(!(memory_format.has_value() &&
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memory_format.value() != c10::MemoryFormat::Contiguous),
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"`MemoryFormat` other than Contiguous is not supported now.");
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auto layout = options.layout();
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if (layout == c10::kStrided && (self.is_sparse() || self.is_sparse_csr())) {
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layout = self.layout();
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}
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auto dtype = options.dtype();
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if (dtype == c10::ScalarType::Undefined) {
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dtype = self.scalar_type();
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}
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paddle::Tensor base = self._PD_GetInner();
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if (self.is_sparse() || self.is_sparse_csr()) {
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base = paddle::experimental::sparse::to_dense(base);
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}
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paddle::Tensor dense;
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if (options.pinned_memory()) {
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// Pinning memory is only supported for CPU tensors
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if (options.has_device() && !options.device().is_cpu()) {
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PD_THROW(
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"pin_memory=true requires device to be CPU, but got non-CPU device");
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}
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auto dense_cpu = paddle::experimental::zeros_like(
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base, compat::_PD_AtenScalarTypeToPhiDataType(dtype), phi::CPUPlace());
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phi::Place base_place = options._PD_GetPlace();
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phi::Place pinned_place = compat::_PD_GetCreatePinnedPlace(base_place);
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dense = dense_cpu.copy_to(pinned_place, /*blocking=*/true);
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} else {
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dense = paddle::experimental::zeros_like(
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base,
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compat::_PD_AtenScalarTypeToPhiDataType(dtype),
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options._PD_GetPlace());
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}
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return compat::_PD_ConvertToSparseIfNeeded(dense, layout);
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}
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inline at::Tensor zeros_like(const at::Tensor& self,
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::std::optional<at::ScalarType> dtype,
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::std::optional<at::Layout> layout,
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::std::optional<at::Device> device,
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::std::optional<bool> pin_memory,
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::std::optional<at::MemoryFormat> memory_format) {
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PD_CHECK(!(memory_format.has_value() &&
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memory_format.value() != c10::MemoryFormat::Contiguous),
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"`MemoryFormat` other than Contiguous is not supported now.");
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auto options = at::TensorOptions()
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.dtype(dtype)
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.layout(layout)
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.device(device)
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.pinned_memory(pin_memory);
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return zeros_like(self, options, memory_format);
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}
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} // namespace at
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