paddlepaddle--paddle
wehub-resource-sync
107 行
3.8 KiB
C++
107 行
3.8 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/TensorOptions.h>
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#include <utils/pinned_place.h>
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#include <optional>
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#include "paddle/phi/api/include/api.h"
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#include "paddle/phi/common/place.h"
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namespace at {
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// eye(n) — n×n identity matrix
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inline at::Tensor eye(int64_t n, at::TensorOptions options = {}) {
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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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phi::Place base_place = options._PD_GetPlace();
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phi::Place pinned_place = compat::_PD_GetCreatePinnedPlace(base_place);
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auto dense = paddle::experimental::eye(
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n,
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/*num_columns=*/-1,
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compat::_PD_AtenScalarTypeToPhiDataType(options.dtype()),
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phi::CPUPlace());
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return dense.copy_to(pinned_place, /*blocking=*/true);
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}
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return paddle::experimental::eye(
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n,
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/*num_columns=*/-1,
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compat::_PD_AtenScalarTypeToPhiDataType(options.dtype()),
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options._PD_GetPlace());
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}
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// eye(n, m) — n×m identity-like matrix
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inline at::Tensor eye(int64_t n, int64_t m, at::TensorOptions options = {}) {
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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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phi::Place base_place = options._PD_GetPlace();
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phi::Place pinned_place = compat::_PD_GetCreatePinnedPlace(base_place);
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auto dense = paddle::experimental::eye(
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n,
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m,
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compat::_PD_AtenScalarTypeToPhiDataType(options.dtype()),
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phi::CPUPlace());
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return dense.copy_to(pinned_place, /*blocking=*/true);
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}
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return paddle::experimental::eye(
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n,
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m,
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compat::_PD_AtenScalarTypeToPhiDataType(options.dtype()),
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options._PD_GetPlace());
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}
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// eye(n, dtype, layout, device, pin_memory)
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inline at::Tensor eye(int64_t n,
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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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PD_CHECK(!layout.has_value(), "`layout` is not supported now.");
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auto options =
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at::TensorOptions()
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.dtype(dtype.value_or(c10::get_default_dtype_as_scalartype()))
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.device(device.value_or(at::kCPU))
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.pinned_memory(pin_memory);
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return eye(n, options);
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}
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// eye(n, m, dtype, layout, device, pin_memory)
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inline at::Tensor eye(int64_t n,
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int64_t m,
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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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PD_CHECK(!layout.has_value(), "`layout` is not supported now.");
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auto options =
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at::TensorOptions()
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.dtype(dtype.value_or(c10::get_default_dtype_as_scalartype()))
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.device(device.value_or(at::kCPU))
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.pinned_memory(pin_memory);
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return eye(n, m, options);
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}
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} // namespace at
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