131 lines
4.4 KiB
C++
131 lines
4.4 KiB
C++
/* Copyright 2017 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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#include "tensorflow/compiler/xla/service/interpreter/executor.h"
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#include <cstring>
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#include "tensorflow/compiler/xla/status_macros.h"
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namespace stream_executor {
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namespace interpreter {
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host::HostStream *AsExecutorStream(Stream *stream) {
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DCHECK(stream != nullptr);
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return dynamic_cast<host::HostStream *>(stream->implementation());
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}
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XlaInterpreterExecutor::XlaInterpreterExecutor(
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const PluginConfig &plugin_config)
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: plugin_config_(plugin_config) {}
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XlaInterpreterExecutor::~XlaInterpreterExecutor() {}
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DeviceMemoryBase XlaInterpreterExecutor::Allocate(uint64 size,
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int64 memory_space) {
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return DeviceMemoryBase(new char[size], size);
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}
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void *XlaInterpreterExecutor::GetSubBuffer(DeviceMemoryBase *parent,
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uint64 offset_bytes,
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uint64 /*size_bytes*/) {
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return parent + offset_bytes;
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}
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void XlaInterpreterExecutor::Deallocate(DeviceMemoryBase *mem) {
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delete[] static_cast<char *>(mem->opaque());
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}
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bool XlaInterpreterExecutor::Memcpy(Stream *stream, void *host_dst,
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const DeviceMemoryBase &dev_src,
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uint64 size) {
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AsExecutorStream(stream)->EnqueueTask([this, host_dst, dev_src, size]() {
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port::Status ok = SynchronousMemcpy(host_dst, dev_src, size);
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});
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AsExecutorStream(stream)->BlockUntilDone();
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return true;
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}
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bool XlaInterpreterExecutor::Memcpy(Stream *stream, DeviceMemoryBase *dev_dst,
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const void *host_src, uint64 size) {
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AsExecutorStream(stream)->EnqueueTask([this, dev_dst, host_src, size]() {
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port::Status ok = SynchronousMemcpy(dev_dst, host_src, size);
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});
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AsExecutorStream(stream)->BlockUntilDone();
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return true;
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}
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port::Status XlaInterpreterExecutor::SynchronousMemcpy(
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DeviceMemoryBase *dev_dst, const void *host_src, uint64 size) {
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memcpy(dev_dst->opaque(), host_src, size);
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return port::Status::OK();
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}
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port::Status XlaInterpreterExecutor::SynchronousMemcpy(
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void *host_dst, const DeviceMemoryBase &dev_src, uint64 size) {
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memcpy(host_dst, dev_src.opaque(), size);
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return port::Status::OK();
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}
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bool XlaInterpreterExecutor::HostCallback(
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Stream *stream, std::function<port::Status()> callback) {
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AsExecutorStream(stream)->EnqueueTask([callback]() {
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port::Status s = callback();
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if (!s.ok()) {
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LOG(WARNING) << "Host callback failed: " << s;
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}
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});
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return true;
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}
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bool XlaInterpreterExecutor::CreateStreamDependency(Stream *dependent,
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Stream *other) {
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AsExecutorStream(dependent)->EnqueueTask(
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[other]() { SE_CHECK_OK(other->BlockHostUntilDone()); });
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AsExecutorStream(dependent)->BlockUntilDone();
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return true;
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}
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bool XlaInterpreterExecutor::StartTimer(Stream *stream, Timer *timer) {
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dynamic_cast<host::HostTimer *>(timer->implementation())->Start(stream);
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return true;
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}
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bool XlaInterpreterExecutor::StopTimer(Stream *stream, Timer *timer) {
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dynamic_cast<host::HostTimer *>(timer->implementation())->Stop(stream);
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return true;
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}
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port::Status XlaInterpreterExecutor::BlockHostUntilDone(Stream *stream) {
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AsExecutorStream(stream)->BlockUntilDone();
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return port::Status::OK();
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}
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port::StatusOr<std::unique_ptr<DeviceDescription>>
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XlaInterpreterExecutor::CreateDeviceDescription(int device_ordinal) {
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internal::DeviceDescriptionBuilder builder;
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builder.set_device_address_bits(64);
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builder.set_name("Interpreter");
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builder.set_device_memory_size(static_cast<uint64>(4) * 1024 * 1024 * 1024);
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builder.set_clock_rate_ghz(static_cast<float>(CLOCKS_PER_SEC) / 1e9);
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return builder.Build();
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}
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} // namespace interpreter
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} // namespace stream_executor
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