STT-tensorflow/tensorflow/lite/delegates/gpu/cl/buffer.cc
Raman Sarokin 6702ae97ff Added CPU representation for LinearStorage.
PiperOrigin-RevId: 327265279
Change-Id: I53a90f385a618ad3ebae6c651b14401018019204
2020-08-18 11:16:49 -07:00

206 lines
6.9 KiB
C++

/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/lite/delegates/gpu/cl/buffer.h"
#include <string>
#include "tensorflow/lite/delegates/gpu/common/data_type.h"
#include "tensorflow/lite/delegates/gpu/common/status.h"
namespace tflite {
namespace gpu {
namespace cl {
namespace {
absl::Status CreateBuffer(size_t size_in_bytes, bool gpu_read_only,
const void* data, CLContext* context,
Buffer* result) {
cl_mem buffer;
RETURN_IF_ERROR(CreateCLBuffer(context->context(), size_in_bytes,
gpu_read_only, const_cast<void*>(data),
&buffer));
*result = Buffer(buffer, size_in_bytes);
return absl::OkStatus();
}
} // namespace
BufferDescriptor::BufferDescriptor(BufferDescriptor&& desc)
: GPUObjectDescriptor(std::move(desc)),
element_type(desc.element_type),
element_size(desc.element_size),
memory_type(desc.memory_type),
attributes(std::move(desc.attributes)),
size(desc.size),
data(std::move(desc.data)) {}
BufferDescriptor& BufferDescriptor::operator=(BufferDescriptor&& desc) {
if (this != &desc) {
std::swap(element_type, desc.element_type);
std::swap(element_size, desc.element_size);
std::swap(memory_type, desc.memory_type);
attributes = std::move(desc.attributes);
std::swap(size, desc.size);
data = std::move(desc.data);
GPUObjectDescriptor::operator=(std::move(desc));
}
return *this;
}
void BufferDescriptor::Release() { data.clear(); }
GPUResources BufferDescriptor::GetGPUResources() const {
GPUResources resources;
GPUBufferDescriptor desc;
desc.data_type = element_type;
desc.access_type = access_type_;
desc.element_size = element_size;
desc.memory_type = memory_type;
desc.attributes = attributes;
resources.buffers.push_back({"buffer", desc});
return resources;
}
absl::Status BufferDescriptor::PerformSelector(
const std::string& selector, const std::vector<std::string>& args,
const std::vector<std::string>& template_args, std::string* result) const {
if (selector == "Read") {
return PerformReadSelector(args, result);
} else if (selector == "GetPtr") {
return PerformGetPtrSelector(args, template_args, result);
} else {
return absl::NotFoundError(absl::StrCat(
"BufferDescriptor don't have selector with name - ", selector));
}
}
absl::Status BufferDescriptor::PerformReadSelector(
const std::vector<std::string>& args, std::string* result) const {
if (args.size() != 1) {
return absl::NotFoundError(
absl::StrCat("BufferDescriptor Read require one argument, but ",
args.size(), " was passed"));
}
*result = absl::StrCat("buffer[", args[0], "]");
return absl::OkStatus();
}
absl::Status BufferDescriptor::PerformGetPtrSelector(
const std::vector<std::string>& args,
const std::vector<std::string>& template_args, std::string* result) const {
if (args.size() > 1) {
return absl::NotFoundError(absl::StrCat(
"BufferDescriptor GetPtr require one or zero arguments, but ",
args.size(), " was passed"));
}
if (template_args.size() > 1) {
return absl::NotFoundError(
absl::StrCat("BufferDescriptor GetPtr require one or zero teemplate "
"arguments, but ",
template_args.size(), " was passed"));
}
std::string conversion;
if (template_args.size() == 1) {
const std::string type_name = ToCLDataType(element_type, element_size);
if (type_name != template_args[0]) {
conversion = absl::StrCat("(", MemoryTypeToCLType(memory_type), " ",
template_args[0], "*)&");
}
}
if (args.empty()) {
*result = absl::StrCat(conversion, "buffer");
} else if (conversion.empty()) {
*result = absl::StrCat("(buffer + ", args[0], ")");
} else {
*result = absl::StrCat(conversion, "buffer[", args[0], "]");
}
return absl::OkStatus();
}
absl::Status BufferDescriptor::CreateGPUObject(CLContext* context,
GPUObjectPtr* result) const {
Buffer gpu_buffer;
RETURN_IF_ERROR(gpu_buffer.CreateFromBufferDescriptor(*this, context));
*result = absl::make_unique<Buffer>(std::move(gpu_buffer));
return absl::OkStatus();
}
Buffer::Buffer(cl_mem buffer, size_t size_in_bytes)
: buffer_(buffer), size_(size_in_bytes) {}
Buffer::Buffer(Buffer&& buffer) : buffer_(buffer.buffer_), size_(buffer.size_) {
buffer.buffer_ = nullptr;
buffer.size_ = 0;
}
Buffer& Buffer::operator=(Buffer&& buffer) {
if (this != &buffer) {
Release();
std::swap(size_, buffer.size_);
std::swap(buffer_, buffer.buffer_);
}
return *this;
}
void Buffer::Release() {
if (buffer_) {
clReleaseMemObject(buffer_);
buffer_ = nullptr;
size_ = 0;
}
}
absl::Status Buffer::GetGPUResources(const GPUObjectDescriptor* obj_ptr,
GPUResourcesWithValue* resources) const {
const auto* buffer_desc = dynamic_cast<const BufferDescriptor*>(obj_ptr);
if (!buffer_desc) {
return absl::InvalidArgumentError("Expected BufferDescriptor on input.");
}
resources->buffers.push_back({"buffer", buffer_});
return absl::OkStatus();
}
absl::Status Buffer::CreateFromBufferDescriptor(const BufferDescriptor& desc,
CLContext* context) {
bool read_only = desc.memory_type == MemoryType::CONSTANT;
uint8_t* data_ptr = desc.data.empty()
? nullptr
: const_cast<unsigned char*>(desc.data.data());
size_ = desc.size;
return CreateCLBuffer(context->context(), desc.size, read_only, data_ptr,
&buffer_);
}
absl::Status CreateReadOnlyBuffer(size_t size_in_bytes, CLContext* context,
Buffer* result) {
return CreateBuffer(size_in_bytes, true, nullptr, context, result);
}
absl::Status CreateReadOnlyBuffer(size_t size_in_bytes, const void* data,
CLContext* context, Buffer* result) {
return CreateBuffer(size_in_bytes, true, data, context, result);
}
absl::Status CreateReadWriteBuffer(size_t size_in_bytes, CLContext* context,
Buffer* result) {
return CreateBuffer(size_in_bytes, false, nullptr, context, result);
}
} // namespace cl
} // namespace gpu
} // namespace tflite