wehub-resource-sync
134 lines
4.2 KiB
C++
134 lines
4.2 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/Device.h>
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#include <c10/core/ScalarType.h>
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#include <c10/core/TensorOptions.h>
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#include <utils/scalar_type_conversion.h>
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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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// Overload 1: to(TensorOptions, non_blocking, copy, memory_format)
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inline at::Tensor Tensor::to(
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at::TensorOptions options,
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bool non_blocking,
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bool copy,
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::std::optional<at::MemoryFormat> memory_format) const {
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// Handle device transfer
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PaddleTensor result = tensor_;
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bool materialized_copy = false;
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if (options.has_device()) {
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const c10::Device& dev = options.device();
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phi::Place place;
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switch (dev.type()) {
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case c10::DeviceType::CPU:
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case c10::DeviceType::CUDA:
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case c10::DeviceType::XPU:
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case c10::DeviceType::IPU:
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case c10::DeviceType::CUSTOM:
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place = dev._PD_GetInner();
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break;
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default:
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PD_THROW("Unsupported device type: ", dev.type());
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break;
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}
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if (place != tensor_.place()) {
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result = result.copy_to(place, /*blocking=*/!non_blocking);
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materialized_copy = true;
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}
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}
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// Handle dtype cast
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if (options.has_dtype()) {
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auto target_dtype =
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compat::_PD_AtenScalarTypeToPhiDataType(options.dtype());
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if (target_dtype != result.dtype()) {
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result = paddle::experimental::cast(result, target_dtype);
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materialized_copy = true;
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}
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}
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if (copy && !materialized_copy) {
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result = paddle::experimental::assign(result);
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}
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return at::Tensor(result);
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}
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// Overload 2: to(optional<ScalarType>, optional<Layout>, optional<Device>,
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// optional<bool> pin_memory, non_blocking, copy, memory_format)
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inline at::Tensor Tensor::to(
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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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bool non_blocking,
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bool copy,
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::std::optional<at::MemoryFormat> memory_format) const {
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at::TensorOptions options;
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if (dtype.has_value()) {
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options = options.dtype(dtype.value());
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}
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if (device.has_value()) {
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options = options.device(device.value());
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}
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if (pin_memory.has_value() && pin_memory.value()) {
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options = options.pinned_memory(true);
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}
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return to(options, non_blocking, copy, memory_format);
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}
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// Overload 3: to(Device, ScalarType, non_blocking, copy, memory_format)
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inline at::Tensor Tensor::to(
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at::Device device,
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at::ScalarType dtype,
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bool non_blocking,
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bool copy,
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::std::optional<at::MemoryFormat> memory_format) const {
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at::TensorOptions options = at::TensorOptions().device(device).dtype(dtype);
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return to(options, non_blocking, copy, memory_format);
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}
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// Overload 4: to(ScalarType, non_blocking, copy, memory_format)
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inline at::Tensor Tensor::to(
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at::ScalarType dtype,
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bool non_blocking,
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bool copy,
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::std::optional<at::MemoryFormat> memory_format) const {
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auto target_dtype = compat::_PD_AtenScalarTypeToPhiDataType(dtype);
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if (!copy && target_dtype == tensor_.dtype()) {
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return *this;
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}
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return at::Tensor(paddle::experimental::cast(tensor_, target_dtype));
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}
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// Overload 5: to(const Tensor& other, non_blocking, copy, memory_format)
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inline at::Tensor Tensor::to(
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const at::Tensor& other,
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bool non_blocking,
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bool copy,
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::std::optional<at::MemoryFormat> memory_format) const {
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at::TensorOptions options =
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at::TensorOptions().device(other.device()).dtype(other.scalar_type());
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return to(options, non_blocking, copy, memory_format);
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}
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} // namespace at
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