wehub-resource-sync
97 lines
3.2 KiB
C++
97 lines
3.2 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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#include "tensorflow/c/tf_buffer.h"
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#include <cstddef>
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#include <cstdint>
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#include <cstring>
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#include <limits>
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#include "absl/status/status.h"
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#include "absl/strings/str_cat.h"
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#include "tensorflow/core/platform/mem.h"
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#include "tensorflow/core/platform/protobuf.h" // IWYU pragma: keep
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extern "C" {
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TF_Buffer* TF_NewBuffer() { return new TF_Buffer{nullptr, 0, nullptr}; }
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TF_Buffer* TF_NewBufferFromString(const void* proto, size_t proto_len) {
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void* copy = tensorflow::port::Malloc(proto_len);
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std::memcpy(copy, proto, proto_len);
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TF_Buffer* buf = new TF_Buffer;
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buf->data = copy;
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buf->length = proto_len;
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buf->data_deallocator = [](void* data, size_t length) {
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tensorflow::port::Free(data);
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};
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return buf;
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}
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void TF_DeleteBuffer(TF_Buffer* buffer) {
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if (buffer == nullptr) return;
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if (buffer->data_deallocator != nullptr) {
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(*buffer->data_deallocator)(const_cast<void*>(buffer->data),
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buffer->length);
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}
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delete buffer;
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}
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TF_Buffer TF_GetBuffer(TF_Buffer* buffer) { return *buffer; }
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} // end extern "C"
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namespace tensorflow {
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absl::Status MessageToBuffer(const tensorflow::protobuf::MessageLite& in,
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TF_Buffer* out) {
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if (out->data != nullptr) {
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return absl::InvalidArgumentError(
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"Passing non-empty TF_Buffer is invalid.");
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}
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const size_t proto_size = in.ByteSizeLong();
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void* buf = port::Malloc(proto_size);
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if (buf == nullptr) {
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return absl::ResourceExhaustedError(
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absl::StrCat("Failed to allocate memory to serialize message of type '",
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in.GetTypeName(), "' and size ", proto_size));
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}
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if (!in.SerializeWithCachedSizesToArray(static_cast<uint8_t*>(buf))) {
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port::Free(buf);
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return absl::InvalidArgumentError(
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absl::StrCat("Unable to serialize ", in.GetTypeName(),
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" protocol buffer, perhaps the serialized size (",
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proto_size, " bytes) is too large?"));
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}
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out->data = buf;
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out->length = proto_size;
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out->data_deallocator = [](void* data, size_t length) { port::Free(data); };
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return absl::OkStatus();
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}
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absl::Status BufferToMessage(const TF_Buffer* in,
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tensorflow::protobuf::MessageLite* out) {
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if (in == nullptr || in->length > std::numeric_limits<int>::max() ||
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!out->ParseFromArray(in->data, in->length)) {
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return absl::InvalidArgumentError(
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absl::StrCat("Unparseable ", out->GetTypeName(), " proto"));
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}
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return absl::OkStatus();
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}
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} // namespace tensorflow
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