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/* Copyright 2018 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/compiler/tf2xla/cpu_function_runtime.h"
#include "tensorflow/core/platform/dynamic_annotations.h"
namespace tensorflow {
namespace {
// Inline memory allocation routines here, because depending on '//base' brings
// in libraries which use c++ streams, which adds considerable code size on
// android.
void* aligned_malloc(size_t size, int minimum_alignment) {
#if defined(__ANDROID__) || defined(OS_ANDROID) || defined(OS_CYGWIN)
return memalign(minimum_alignment, size);
#elif defined(_WIN32)
return _aligned_malloc(size, minimum_alignment);
#else // !__ANDROID__ && !OS_ANDROID && !OS_CYGWIN
void* ptr = nullptr;
// posix_memalign requires that the requested alignment be at least
// sizeof(void*). In this case, fall back on malloc which should return memory
// aligned to at least the size of a pointer.
const int required_alignment = sizeof(void*);
if (minimum_alignment < required_alignment) return malloc(size);
if (posix_memalign(&ptr, minimum_alignment, size) != 0)
return nullptr;
else
return ptr;
#endif
}
void aligned_free(void* aligned_memory) {
#if defined(_WIN32)
_aligned_free(aligned_memory);
#else
free(aligned_memory);
#endif
}
size_t align_to(size_t n, size_t align) {
return (((n - 1) / align) + 1) * align;
}
} // namespace
namespace cpu_function_runtime {
size_t AlignedBufferBytes(const BufferInfo* buffer_infos, size_t n,
bool allocate_entry_params) {
size_t total = 0;
for (size_t i = 0; i < n; ++i) {
bool should_allocate =
buffer_infos[i].is_temp_buffer() ||
(buffer_infos[i].is_entry_parameter() && allocate_entry_params);
if (should_allocate) {
total += align_to(buffer_infos[i].size(), kAlign);
}
}
return total;
}
void* MallocContiguousBuffers(const BufferInfo* buffer_infos, size_t n,
bool allocate_entry_params, void** bufs,
bool annotate_initialized) {
const size_t total =
AlignedBufferBytes(buffer_infos, n, allocate_entry_params);
void* contiguous = nullptr;
if (total > 0) {
contiguous = aligned_malloc(total, kAlign);
if (annotate_initialized) {
// Since the memory for temp buffers is written to by JITed code, msan has
// no way of knowing the memory was initialized, so explicitly mark it.
TF_ANNOTATE_MEMORY_IS_INITIALIZED(contiguous, total);
}
}
uintptr_t pos = reinterpret_cast<uintptr_t>(contiguous);
for (size_t i = 0; i < n; ++i) {
bool should_allocate =
buffer_infos[i].is_temp_buffer() ||
(buffer_infos[i].is_entry_parameter() && allocate_entry_params);
if (should_allocate) {
bufs[i] = reinterpret_cast<void*>(pos);
pos += align_to(buffer_infos[i].size(), kAlign);
} else {
bufs[i] = nullptr;
}
}
return contiguous;
}
void FreeContiguous(void* contiguous) {
if (contiguous != nullptr) {
aligned_free(contiguous);
}
}
} // namespace cpu_function_runtime
} // namespace tensorflow
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