65 lines
2.7 KiB
C++
65 lines
2.7 KiB
C++
/* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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==============================================================================*/
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#ifndef TENSORFLOW_COMPILER_JIT_PJRT_DEVICE_CONTEXT_H_
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#define TENSORFLOW_COMPILER_JIT_PJRT_DEVICE_CONTEXT_H_
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#include <utility>
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#include "tensorflow/compiler/tf2xla/layout_util.h"
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#include "tensorflow/core/framework/device_base.h"
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#include "tensorflow/core/platform/status.h"
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namespace tensorflow {
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// Helper class for managing data transfers between host and accelerator
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// devices using PjRt.
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class PjRtDeviceContext : public DeviceContext {
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public:
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explicit PjRtDeviceContext(
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XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns,
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bool use_pjrt_tensor_buffer = false)
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: shape_determination_fns_(std::move(shape_determination_fns)),
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use_pjrt_tensor_buffer_(use_pjrt_tensor_buffer) {}
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void CopyCPUTensorToDevice(const Tensor* cpu_tensor, Device* device,
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Tensor* device_tensor, StatusCallback done,
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bool sync_dst_compute) const override;
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void CopyDeviceTensorToCPU(const Tensor* device_tensor,
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absl::string_view tensor_name, Device* device,
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Tensor* cpu_tensor, StatusCallback done) override;
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void CopyTensorInSameDevice(const Tensor* input_tensor, Device* device,
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Tensor* output_tensor,
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StatusCallback done) const override;
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bool use_pjrt_tensor_buffer() const { return use_pjrt_tensor_buffer_; }
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private:
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XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns_;
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// Note: we currently assume the PjRtBuffer is a PjRtStreamExecutorBuffer.
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bool use_pjrt_tensor_buffer_;
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};
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void PjRtDeviceToDeviceCopy(DeviceContext* send_dev_context,
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DeviceContext* recv_dev_context, Device* src,
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Device* dst, AllocatorAttributes src_alloc_attr,
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AllocatorAttributes dst_alloc_attr,
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const Tensor* input, Tensor* output,
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int dev_to_dev_stream_index, StatusCallback done);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_JIT_PJRT_DEVICE_CONTEXT_H_
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