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提交 9b3c9643 编写于 作者: F fengjiayi
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Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into... 

Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into modify_readers_to_fit_parallel_executor
上级 5ad24869 9a4ce6f1
隐藏空白更改
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Showing with 590 addition and 497 deletion
cmake/generic.cmake
浏览文件 @ 9b3c9643
......@@ -244,11 +244,11 @@ function(cc_test TARGET_NAME)
cmake_parse_arguments(cc_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
add_executable(${TARGET_NAME} ${cc_test_SRCS})
# Support linking flags: --whole-archive (Linux) / -force_load (MacOS)
target_circle_link_libraries(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main paddle_memory gtest gflags glog)
target_circle_link_libraries(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main memory gtest gflags glog)
if("${cc_test_DEPS}" MATCHES "ARCHIVE_START")
list(REMOVE_ITEM cc_test_DEPS ARCHIVE_START ARCHIVE_END)
endif()
add_dependencies(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main paddle_memory gtest gflags glog)
add_dependencies(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main memory gtest gflags glog)
add_test(NAME ${TARGET_NAME}
COMMAND ${TARGET_NAME} ${cc_test_ARGS}
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
......@@ -311,8 +311,8 @@ function(nv_test TARGET_NAME)
set(multiValueArgs SRCS DEPS)
cmake_parse_arguments(nv_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
cuda_add_executable(${TARGET_NAME} ${nv_test_SRCS})
target_link_libraries(${TARGET_NAME} ${nv_test_DEPS} paddle_gtest_main paddle_memory gtest gflags glog)
add_dependencies(${TARGET_NAME} ${nv_test_DEPS} paddle_gtest_main paddle_memory gtest gflags glog)
target_link_libraries(${TARGET_NAME} ${nv_test_DEPS} paddle_gtest_main memory gtest gflags glog)
add_dependencies(${TARGET_NAME} ${nv_test_DEPS} paddle_gtest_main memory gtest gflags glog)
add_test(${TARGET_NAME} ${TARGET_NAME})
endif()
endfunction(nv_test)
......@@ -387,8 +387,8 @@ function(hip_test TARGET_NAME)
endif()
add_executable(${TARGET_NAME} ${_cmake_options} ${_generated_files} ${_sources})
set_target_properties(${TARGET_NAME} PROPERTIES LINKER_LANGUAGE HIP)
target_link_libraries(${TARGET_NAME} ${hip_test_DEPS} paddle_gtest_main paddle_memory gtest gflags)
add_dependencies(${TARGET_NAME} ${hip_test_DEPS} paddle_gtest_main paddle_memory gtest gflags)
target_link_libraries(${TARGET_NAME} ${hip_test_DEPS} paddle_gtest_main memory gtest gflags)
add_dependencies(${TARGET_NAME} ${hip_test_DEPS} paddle_gtest_main memory gtest gflags)
add_test(${TARGET_NAME} ${TARGET_NAME})
endif()
endfunction(hip_test)
......
paddle/fluid/framework/CMakeLists.txt
浏览文件 @ 9b3c9643
......@@ -7,9 +7,9 @@ cc_test(ddim_test SRCS ddim_test.cc DEPS ddim)
nv_test(dim_test SRCS dim_test.cu DEPS ddim)
if(WITH_GPU)
nv_library(tensor SRCS tensor.cc tensor_util.cu DEPS ddim place paddle_memory device_context framework_proto)
nv_library(tensor SRCS tensor.cc tensor_util.cu DEPS ddim place memory device_context framework_proto)
else()
cc_library(tensor SRCS tensor.cc tensor_util.cc DEPS ddim place paddle_memory device_context framework_proto)
cc_library(tensor SRCS tensor.cc tensor_util.cc DEPS ddim place memory device_context framework_proto)
endif()
cc_test(tensor_test SRCS tensor_test.cc DEPS tensor)
......@@ -21,9 +21,9 @@ endif()
cc_test(eigen_test SRCS eigen_test.cc DEPS tensor)
nv_test(mixed_vector_test SRCS mixed_vector_test.cu DEPS place paddle_memory device_context init)
nv_test(mixed_vector_test SRCS mixed_vector_test.cu DEPS place memory device_context init)
cc_library(lod_tensor SRCS lod_tensor.cc DEPS ddim place tensor framework_proto recordio)
cc_test(lod_tensor_test SRCS lod_tensor_test.cc DEPS lod_tensor paddle_memory)
cc_test(lod_tensor_test SRCS lod_tensor_test.cc DEPS lod_tensor memory)
nv_test(lod_tensor_gpu_test SRCS lod_tensor_test.cu DEPS lod_tensor init)
cc_library(reader SRCS reader.cc DEPS lod_tensor ddim)
......
paddle/fluid/framework/scope.cc
浏览文件 @ 9b3c9643
......@@ -15,7 +15,6 @@ limitations under the License. */
#include "paddle/fluid/framework/scope.h"
#include <memory> // for unique_ptr
#include <mutex> // for call_once
#include <set>
#include "glog/logging.h"
#include "paddle/fluid/framework/threadpool.h"
......@@ -39,6 +38,7 @@ Scope::~Scope() {
}
Scope& Scope::NewScope() const {
std::unique_lock<std::mutex> lock(mutex_);
kids_.push_back(new Scope(this));
return *kids_.back();
}
......@@ -92,6 +92,7 @@ std::vector<std::string> Scope::LocalVarNames() const {
}
void Scope::DeleteScope(Scope* scope) {
std::unique_lock<std::mutex> lock(mutex_);
auto it = std::find(this->kids_.begin(), this->kids_.end(), scope);
PADDLE_ENFORCE(it != this->kids_.end(), "Cannot find %p as kid scope", scope);
this->kids_.erase(it);
......@@ -103,7 +104,7 @@ void Scope::DeleteScope(Scope* scope) {
}
}
void Scope::EraseVars(std::vector<std::string>& var_names) {
void Scope::EraseVars(const std::vector<std::string>& var_names) {
std::set<std::string> var_set(var_names.begin(), var_names.end());
for (auto it = vars_.begin(); it != vars_.end();) {
if (var_set.find(it->first) != var_set.end()) {
......
paddle/fluid/framework/scope.h
浏览文件 @ 9b3c9643
......@@ -15,6 +15,7 @@ limitations under the License. */
#pragma once
#include <list>
#include <mutex> // NOLINT
#include <string>
#include <unordered_map>
#include <vector>
......@@ -51,7 +52,7 @@ class Scope {
/// Create a variable with a scope-unique name.
Variable* Var(std::string* name = nullptr);
void EraseVars(std::vector<std::string>& var_names);
void EraseVars(const std::vector<std::string>& var_names);
/// Find a variable in the scope or any of its ancestors. Returns
/// nullptr if cannot find.
......@@ -88,6 +89,9 @@ class Scope {
Scope const* parent_{nullptr};
DISABLE_COPY_AND_ASSIGN(Scope);
private:
mutable std::mutex mutex_;
};
} // namespace framework
} // namespace paddle
paddle/fluid/inference/CMakeLists.txt
浏览文件 @ 9b3c9643
set(FLUID_CORE_MODULES proto_desc paddle_memory lod_tensor executor prune init)
set(FLUID_CORE_MODULES proto_desc memory lod_tensor executor prune init)
cc_library(paddle_fluid_api
SRCS io.cc
......
paddle/fluid/memory/CMakeLists.txt
浏览文件 @ 9b3c9643
add_subdirectory(detail)
cc_library(memory SRCS memory.cc DEPS place enforce)
cc_library(malloc SRCS malloc.cc DEPS buddy_allocator place enforce)
cc_library(memcpy SRCS memcpy.cc DEPS place)
cc_library(paddle_memory
cc_library(memory
DEPS
memory
memcpy
meta_data
meta_cache
memory_block
buddy_allocator
system_allocator)
malloc
memcpy)
cc_test(memory_test SRCS memory_test.cc DEPS place paddle_memory)
cc_test(malloc_test SRCS malloc_test.cc DEPS malloc)
#if (WITH_GPU)
# nv_test(pinned_memory_test SRCS pinned_memory_test.cu DEPS place paddle_memory)
# nv_test(pinned_memory_test SRCS pinned_memory_test.cu DEPS place memory)
#endif()
paddle/fluid/memory/detail/CMakeLists.txt
浏览文件 @ 9b3c9643
cc_library(memory_block SRCS memory_block.cc memory_block_desc.cc meta_cache.cc)
if(${WITH_GPU})
nv_library(system_allocator SRCS system_allocator.cc DEPS gflags cpu_info gpu_info)
else(${WITH_GPU})
......@@ -6,10 +8,4 @@ endif(${WITH_GPU})
cc_test(system_allocator_test SRCS system_allocator_test.cc DEPS system_allocator)
cc_library(meta_data SRCS meta_data.cc)
cc_library(meta_cache SRCS meta_cache.cc)
cc_library(memory_block SRCS memory_block.cc)
cc_library(buddy_allocator SRCS buddy_allocator.cc DEPS glog)
cc_library(buddy_allocator SRCS buddy_allocator.cc DEPS memory_block system_allocator glog)
paddle/fluid/memory/detail/buddy_allocator.cc
浏览文件 @ 9b3c9643
......@@ -46,7 +46,8 @@ inline size_t align(size_t size, size_t alignment) {
void* BuddyAllocator::Alloc(size_t unaligned_size) {
// adjust allocation alignment
size_t size = align(unaligned_size + sizeof(Metadata), min_chunk_size_);
size_t size =
align(unaligned_size + sizeof(MemoryBlock::Desc), min_chunk_size_);
// acquire the allocator lock
std::lock_guard<std::mutex> lock(mutex_);
......@@ -103,7 +104,7 @@ void BuddyAllocator::Free(void* p) {
return;
}
block->mark_as_free(cache_);
block->mark_as_free(&cache_);
total_used_ -= block->total_size(cache_);
total_free_ += block->total_size(cache_);
......@@ -122,7 +123,7 @@ void BuddyAllocator::Free(void* p) {
right_buddy));
// merge its right buddy to the block
block->merge(cache_, right_buddy);
block->merge(&cache_, right_buddy);
}
}
......@@ -139,7 +140,7 @@ void BuddyAllocator::Free(void* p) {
left_buddy->total_size(cache_), left_buddy));
// merge the block to its left buddy
left_buddy->merge(cache_, block);
left_buddy->merge(&cache_, block);
block = left_buddy;
}
}
......@@ -163,13 +164,13 @@ size_t BuddyAllocator::Used() { return total_used_; }
void* BuddyAllocator::SystemAlloc(size_t size) {
size_t index = 0;
void* p = system_allocator_->Alloc(index, size);
void* p = system_allocator_->Alloc(&index, size);
VLOG(10) << "Allocated " << p << " from system allocator.";
if (p == nullptr) return nullptr;
static_cast<MemoryBlock*>(p)->init(cache_, MemoryBlock::HUGE_CHUNK, index,
static_cast<MemoryBlock*>(p)->init(&cache_, MemoryBlock::HUGE_CHUNK, index,
size, nullptr, nullptr);
return static_cast<MemoryBlock*>(p)->data();
......@@ -187,14 +188,14 @@ BuddyAllocator::PoolSet::iterator BuddyAllocator::RefillPool() {
// Allocate a new maximum sized block
size_t index = 0;
void* p = system_allocator_->Alloc(index, max_chunk_size_);
void* p = system_allocator_->Alloc(&index, max_chunk_size_);
if (p == nullptr) return pool_.end();
VLOG(10) << "Creating and inserting new block " << p
<< " from system allocator";
static_cast<MemoryBlock*>(p)->init(cache_, MemoryBlock::FREE_CHUNK, index,
static_cast<MemoryBlock*>(p)->init(&cache_, MemoryBlock::FREE_CHUNK, index,
max_chunk_size_, nullptr, nullptr);
// gpu fallback allocation
......@@ -238,11 +239,11 @@ void* BuddyAllocator::SplitToAlloc(BuddyAllocator::PoolSet::iterator it,
VLOG(10) << "Split block (" << block << ", " << block->total_size(cache_)
<< ") into";
block->split(cache_, size);
block->split(&cache_, size);
VLOG(10) << "Left block (" << block << ", " << block->total_size(cache_)
<< ")";
block->set_type(cache_, MemoryBlock::ARENA_CHUNK);
block->set_type(&cache_, MemoryBlock::ARENA_CHUNK);
// the rest of memory if exist
if (block->has_right_buddy(cache_)) {
......
paddle/fluid/memory/detail/buddy_allocator.h
浏览文件 @ 9b3c9643
......@@ -14,18 +14,18 @@ limitations under the License. */
#pragma once
#include "paddle/fluid/memory/detail/meta_cache.h"
#include "paddle/fluid/memory/detail/meta_data.h"
#include <mutex> // NOLINT
#include <set>
#include <tuple>
#include <unordered_map>
#include <vector>
#include "paddle/fluid/memory/detail/memory_block.h"
#include "paddle/fluid/memory/detail/system_allocator.h"
#include "paddle/fluid/platform/assert.h"
#include "paddle/fluid/platform/cpu_info.h"
#include "paddle/fluid/platform/gpu_info.h"
#include <mutex>
#include <set>
#include <unordered_map>
#include <vector>
namespace paddle {
namespace memory {
namespace detail {
......
paddle/fluid/memory/detail/memory_block.cc
浏览文件 @ 9b3c9643
......@@ -13,143 +13,142 @@ See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/fluid/memory/detail/memory_block.h"
#include "paddle/fluid/memory/detail/meta_cache.h"
#include "paddle/fluid/memory/detail/meta_data.h"
#include "paddle/fluid/platform/assert.h"
namespace paddle {
namespace memory {
namespace detail {
void MemoryBlock::init(MetadataCache& cache, Type t, size_t index, size_t size,
void MemoryBlock::init(MetadataCache* cache, Type t, size_t index, size_t size,
void* left_buddy, void* right_buddy) {
cache.store(this, Metadata(t, index, size - sizeof(Metadata), size,
static_cast<MemoryBlock*>(left_buddy),
static_cast<MemoryBlock*>(right_buddy)));
cache->save(
this, MemoryBlock::Desc(t, index, size - sizeof(MemoryBlock::Desc), size,
static_cast<MemoryBlock*>(left_buddy),
static_cast<MemoryBlock*>(right_buddy)));
}
MemoryBlock::Type MemoryBlock::type(MetadataCache& cache) const {
MemoryBlock::Type MemoryBlock::type(const MetadataCache& cache) const {
return cache.load(this).type;
}
size_t MemoryBlock::size(MetadataCache& cache) const {
size_t MemoryBlock::size(const MetadataCache& cache) const {
return cache.load(this).size;
}
size_t MemoryBlock::total_size(MetadataCache& cache) const {
size_t MemoryBlock::index(const MetadataCache& cache) const {
return cache.load(this).index;
}
size_t MemoryBlock::total_size(const MetadataCache& cache) const {
return cache.load(this).total_size;
}
MemoryBlock* MemoryBlock::left_buddy(MetadataCache& cache) const {
bool MemoryBlock::has_left_buddy(const MetadataCache& cache) const {
return left_buddy(cache) != nullptr;
}
bool MemoryBlock::has_right_buddy(const MetadataCache& cache) const {
return right_buddy(cache) != nullptr;
}
MemoryBlock* MemoryBlock::left_buddy(const MetadataCache& cache) const {
return cache.load(this).left_buddy;
}
MemoryBlock* MemoryBlock::right_buddy(MetadataCache& cache) const {
MemoryBlock* MemoryBlock::right_buddy(const MetadataCache& cache) const {
return cache.load(this).right_buddy;
}
void MemoryBlock::split(MetadataCache& cache, size_t size) {
void MemoryBlock::split(MetadataCache* cache, size_t size) {
// make sure the split fits
PADDLE_ASSERT(total_size(cache) >= size);
PADDLE_ASSERT(total_size(*cache) >= size);
// bail out if there is no room for another partition
if (total_size(cache) - size <= sizeof(Metadata)) {
if (total_size(*cache) - size <= sizeof(MemoryBlock::Desc)) {
return;
}
// find the position of the split
void* right_partition = reinterpret_cast<uint8_t*>(this) + size;
size_t remaining_size = total_size(cache) - size;
size_t remaining_size = total_size(*cache) - size;
// Add the new block as a buddy
auto metadata = cache.load(this);
auto metadata = cache->load(this);
// Write the metadata for the new block
auto new_block_right_buddy = metadata.right_buddy;
cache.store(
static_cast<MemoryBlock*>(right_partition),
Metadata(FREE_CHUNK, index(cache), remaining_size - sizeof(Metadata),
remaining_size, this, new_block_right_buddy));
cache->save(static_cast<MemoryBlock*>(right_partition),
MemoryBlock::Desc(FREE_CHUNK, index(*cache),
remaining_size - sizeof(MemoryBlock::Desc),
remaining_size, this, new_block_right_buddy));
metadata.right_buddy = static_cast<MemoryBlock*>(right_partition);
metadata.size = size - sizeof(Metadata);
metadata.size = size - sizeof(MemoryBlock::Desc);
metadata.total_size = size;
cache.store(this, metadata);
cache->save(this, metadata);
// Write metadata for the new block's right buddy
if (new_block_right_buddy != nullptr) {
auto buddy_metadata = cache.load(new_block_right_buddy);
auto buddy_metadata = cache->load(new_block_right_buddy);
buddy_metadata.left_buddy = static_cast<MemoryBlock*>(right_partition);
cache.store(new_block_right_buddy, buddy_metadata);
cache->save(new_block_right_buddy, buddy_metadata);
}
}
void MemoryBlock::merge(MetadataCache& cache, MemoryBlock* right_buddy) {
void MemoryBlock::merge(MetadataCache* cache, MemoryBlock* right_buddy) {
// only free blocks can be merged
PADDLE_ASSERT(type(cache) == FREE_CHUNK);
PADDLE_ASSERT(right_buddy->type(cache) == FREE_CHUNK);
PADDLE_ASSERT(type(*cache) == FREE_CHUNK);
PADDLE_ASSERT(right_buddy->type(*cache) == FREE_CHUNK);
auto metadata = cache.load(this);
auto metadata = cache->load(this);
// link this->buddy's buddy
metadata.right_buddy = right_buddy->right_buddy(cache);
metadata.right_buddy = right_buddy->right_buddy(*cache);
// link buddy's buddy -> this
if (metadata.right_buddy != nullptr) {
auto buddy_metadata = cache.load(metadata.right_buddy);
auto buddy_metadata = cache->load(metadata.right_buddy);
buddy_metadata.left_buddy = this;
cache.store(metadata.right_buddy, buddy_metadata);
cache->save(metadata.right_buddy, buddy_metadata);
}
metadata.size += right_buddy->total_size(cache);
metadata.total_size += right_buddy->total_size(cache);
metadata.size += right_buddy->total_size(*cache);
metadata.total_size += right_buddy->total_size(*cache);
cache.store(this, metadata);
cache.store(right_buddy, Metadata(INVALID_CHUNK, 0, 0, 0, nullptr, nullptr));
cache->save(this, metadata);
cache->save(right_buddy,
MemoryBlock::Desc(INVALID_CHUNK, 0, 0, 0, nullptr, nullptr));
}
void MemoryBlock::mark_as_free(MetadataCache& cache) {
void MemoryBlock::mark_as_free(MetadataCache* cache) {
// check for double free or corruption
PADDLE_ASSERT(type(cache) != FREE_CHUNK);
PADDLE_ASSERT(type(cache) != INVALID_CHUNK);
PADDLE_ASSERT(type(*cache) != FREE_CHUNK);
PADDLE_ASSERT(type(*cache) != INVALID_CHUNK);
set_type(cache, FREE_CHUNK);
}
void MemoryBlock::set_type(MetadataCache& cache, Type t) {
auto metadata = cache.load(this);
void MemoryBlock::set_type(MetadataCache* cache, Type t) {
auto metadata = cache->load(this);
metadata.type = t;
cache.store(this, metadata);
}
bool MemoryBlock::has_left_buddy(MetadataCache& cache) const {
return left_buddy(cache) != nullptr;
}
bool MemoryBlock::has_right_buddy(MetadataCache& cache) const {
return right_buddy(cache) != nullptr;
}
size_t MemoryBlock::index(MetadataCache& cache) const {
return cache.load(this).index;
cache->save(this, metadata);
}
void* MemoryBlock::data() const {
return const_cast<Metadata*>(reinterpret_cast<const Metadata*>(this)) + 1;
return const_cast<MemoryBlock::Desc*>(
reinterpret_cast<const MemoryBlock::Desc*>(this)) +
1;
}
MemoryBlock* MemoryBlock::metadata() const {
return const_cast<MemoryBlock*>(reinterpret_cast<const MemoryBlock*>(
reinterpret_cast<const Metadata*>(this) - 1));
reinterpret_cast<const MemoryBlock::Desc*>(this) - 1));
}
} // namespace detail
......
paddle/fluid/memory/detail/memory_block.h
浏览文件 @ 9b3c9643
......@@ -11,21 +11,21 @@ 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. */
#pragma once
#include <cstddef>
#include <cstdint>
#include <unordered_map>
namespace paddle {
namespace memory {
namespace detail {
// Forward Declarations
// Forward declaration.
class MetadataCache;
/*! \brief A class used to interpret the contents of a memory block */
class MemoryBlock {
public:
// MemoryBlock represents Each allocated memory block, which contains
// MemoryBlock::Desc and the payload.
struct MemoryBlock {
enum Type {
FREE_CHUNK, // memory is free and idle
ARENA_CHUNK, // memory is being occupied
......@@ -33,57 +33,96 @@ class MemoryBlock {
INVALID_CHUNK // memory is invalid
};
public:
void init(MetadataCache& cache, Type t, size_t index, size_t size,
// init saves the MemoryBlock::Desc of the memory block in a MetadataCache.
// If it is a CPU memory block, the MetadataCache writes the
// MemoryBlock::Desc to the beginning of the block; or, if it is a GPU memory
// block, the MetadataCache writes the Meatadata to a std::map in
// the CPU.
void init(MetadataCache* cache, Type t, size_t index, size_t size,
void* left_buddy, void* right_buddy);
public:
/*! \brief The type of the allocation */
Type type(MetadataCache& cache) const;
/*! \brief The size of the data region */
size_t size(MetadataCache& cache) const;
// All these accessors returns fields in the MemoryBlock::Desc of the memory
// block. They all need a MetadataCache instance as their first
// parameter because they read the MemoryBlock::Desc from the cache.
Type type(const MetadataCache& cache) const;
size_t size(const MetadataCache& cache) const;
size_t index(const MetadataCache& cache) const;
size_t total_size(const MetadataCache& cache) const;
bool has_left_buddy(const MetadataCache& cache) const;
bool has_right_buddy(const MetadataCache& cache) const;
MemoryBlock* left_buddy(const MetadataCache& cache) const;
MemoryBlock* right_buddy(const MetadataCache& cache) const;
/*! \brief An index to track the allocator */
size_t index(MetadataCache& cache) const;
// Split the allocation into left/right blocks.
void split(MetadataCache* cache, size_t size);
/*! \brief The total size of the block */
size_t total_size(MetadataCache& cache) const;
// Merge left and right blocks together.
void merge(MetadataCache* cache, MemoryBlock* right_buddy);
/*! \brief Check the left buddy of the block */
bool has_left_buddy(MetadataCache& cache) const;
// Mark the allocation as free.
void mark_as_free(MetadataCache* cache);
/*! \brief Check the right buddy of the block */
bool has_right_buddy(MetadataCache& cache) const;
/*! \brief Get the left buddy */
MemoryBlock* left_buddy(MetadataCache& cache) const;
/*! \brief Get the right buddy */
MemoryBlock* right_buddy(MetadataCache& cache) const;
public:
/*! \brief Split the allocation into left/right blocks */
void split(MetadataCache& cache, size_t size);
// Change the type of the allocation.
void set_type(MetadataCache* cache, Type t);
/*! \brief Merge left and right blocks together */
void merge(MetadataCache& cache, MemoryBlock* right_buddy);
/*! \brief Mark the allocation as free */
void mark_as_free(MetadataCache& cache);
/*! \brief Change the type of the allocation */
void set_type(MetadataCache& cache, Type t);
public:
/*! \brief Get a pointer to the memory block's data */
void* data() const;
/*! \brief Get a pointer to the memory block's metadata */
MemoryBlock* metadata() const;
// MemoryBlock::Desc describes a MemoryBlock.
struct Desc {
Desc(MemoryBlock::Type t, size_t i, size_t s, size_t ts, MemoryBlock* l,
MemoryBlock* r);
Desc();
// Updates guard_begin and guard_end by hashes of the Metadata object.
void update_guards();
// Checks that guard_begin and guard_end are hashes of the Metadata object.
bool check_guards() const;
// TODO(gangliao): compress this
size_t guard_begin = 0;
MemoryBlock::Type type = MemoryBlock::INVALID_CHUNK;
size_t index = 0;
size_t size = 0;
size_t total_size = 0;
MemoryBlock* left_buddy = nullptr;
MemoryBlock* right_buddy = nullptr;
size_t guard_end = 0;
};
};
// A cache for accessing memory block meta-data that may be expensive
// to access directly. This class exists to unify the
// MemoryBlock::Desc format between GPU and CPU allocations. It should
// be removed when the CPU can access all GPU allocations directly via
// UVM.
class MetadataCache {
public:
static size_t overhead();
explicit MetadataCache(bool uses_gpu);
// Disable copying and assignment.
MetadataCache(const MetadataCache&) = delete;
MetadataCache& operator=(const MetadataCache&) = delete;
// Returns the MemoryBlock::Desc for a memory block. When MetadataCache is
// used to manage CPU memory, the MemoryBlock::Desc resides at the beginning
// of the memory block; when used to manage GPU memory, the
// Meatadata resides in CPU memory indexed by cache_.
MemoryBlock::Desc load(const MemoryBlock* memory_block) const;
// Saves the MemoryBlock::Desc of a memory block into the cache. For CPU
// memory block, writes the MemoryBlock::Desc to the beginning of the memory
// block; whereas for GPU memory, writes it to cache_.
void save(MemoryBlock* memory_block, const MemoryBlock::Desc& meta_data);
// For GPU memory block, erases its MemoryBlock::Desc from cache_.
void invalidate(MemoryBlock* memory_block);
private:
typedef std::unordered_map<const MemoryBlock*, MemoryBlock::Desc> MetadataMap;
MetadataMap cache_;
bool uses_gpu_;
};
} // namespace detail
......
paddle/fluid/memory/detail/meta_data.cc → paddle/fluid/memory/detail/memory_block_desc.cc
浏览文件 @ 9b3c9643
......@@ -12,16 +12,16 @@ 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 "paddle/fluid/memory/detail/meta_data.h"
#include <functional>
#include "paddle/fluid/memory/detail/memory_block.h"
namespace paddle {
namespace memory {
namespace detail {
Metadata::Metadata(MemoryBlock::Type t, size_t i, size_t s, size_t ts,
MemoryBlock* l, MemoryBlock* r)
MemoryBlock::Desc::Desc(MemoryBlock::Type t, size_t i, size_t s, size_t ts,
MemoryBlock* l, MemoryBlock* r)
: type(t),
index(i),
size(s),
......@@ -29,7 +29,7 @@ Metadata::Metadata(MemoryBlock::Type t, size_t i, size_t s, size_t ts,
left_buddy(l),
right_buddy(r) {}
Metadata::Metadata()
MemoryBlock::Desc::Desc()
: type(MemoryBlock::INVALID_CHUNK),
index(0),
size(0),
......@@ -37,32 +37,36 @@ Metadata::Metadata()
left_buddy(nullptr),
right_buddy(nullptr) {}
namespace {
template <class T>
inline void hash_combine(std::size_t& seed, const T& v) {
inline void hash_combine(std::size_t* seed, const T& v) {
std::hash<T> hasher;
seed ^= hasher(v) + 0x9e3779b9 + (seed << 6) + (seed >> 2);
(*seed) ^= hasher(v) + 0x9e3779b9 + ((*seed) << 6) + ((*seed) >> 2);
}
inline size_t hash(const Metadata* metadata, size_t initial_seed) {
inline size_t hash(const MemoryBlock::Desc& metadata, size_t initial_seed) {
size_t seed = initial_seed;
hash_combine(seed, (size_t)metadata->type);
hash_combine(seed, metadata->index);
hash_combine(seed, metadata->size);
hash_combine(seed, metadata->total_size);
hash_combine(seed, metadata->left_buddy);
hash_combine(seed, metadata->right_buddy);
hash_combine(&seed, static_cast<size_t>(metadata.type));
hash_combine(&seed, metadata.index);
hash_combine(&seed, metadata.size);
hash_combine(&seed, metadata.total_size);
hash_combine(&seed, metadata.left_buddy);
hash_combine(&seed, metadata.right_buddy);
return seed;
}
void Metadata::update_guards() {
guard_begin = hash(this, 1);
guard_end = hash(this, 2);
} // namespace
void MemoryBlock::Desc::update_guards() {
guard_begin = hash(*this, 1);
guard_end = hash(*this, 2);
}
bool Metadata::check_guards() const {
return guard_begin == hash(this, 1) && guard_end == hash(this, 2);
bool MemoryBlock::Desc::check_guards() const {
return guard_begin == hash(*this, 1) && guard_end == hash(*this, 2);
}
} // namespace detail
......
paddle/fluid/memory/detail/meta_cache.cc
浏览文件 @ 9b3c9643
......@@ -12,7 +12,6 @@ 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 "paddle/fluid/memory/detail/meta_cache.h"
#include "glog/logging.h"
#include "paddle/fluid/memory/detail/memory_block.h"
#include "paddle/fluid/platform/assert.h"
......@@ -23,29 +22,28 @@ namespace detail {
MetadataCache::MetadataCache(bool uses_gpu) : uses_gpu_(uses_gpu) {}
Metadata MetadataCache::load(const MemoryBlock* block) {
MemoryBlock::Desc MetadataCache::load(const MemoryBlock* block) const {
if (uses_gpu_) {
auto existing_metadata = cache_.find(block);
PADDLE_ASSERT(existing_metadata->second.check_guards());
return existing_metadata->second;
auto existing_desc = cache_.find(block);
PADDLE_ASSERT(existing_desc->second.check_guards());
return existing_desc->second;
} else {
auto* meta = reinterpret_cast<const Metadata*>(block);
VLOG(10) << "Load MetaData type=" << meta->type;
PADDLE_ASSERT(meta->check_guards());
return *reinterpret_cast<const Metadata*>(block);
auto* desc = reinterpret_cast<const MemoryBlock::Desc*>(block);
VLOG(10) << "Load MemoryBlock::Desc type=" << desc->type;
PADDLE_ASSERT(desc->check_guards());
return *reinterpret_cast<const MemoryBlock::Desc*>(block);
}
}
void MetadataCache::store(MemoryBlock* block,
const Metadata& original_metadata) {
auto metadata = original_metadata;
metadata.update_guards();
void MetadataCache::save(MemoryBlock* block,
const MemoryBlock::Desc& original_desc) {
auto desc = original_desc;
desc.update_guards();
if (uses_gpu_) {
cache_[block] = metadata;
cache_[block] = desc;
} else {
*reinterpret_cast<Metadata*>(block) = metadata;
*reinterpret_cast<MemoryBlock::Desc*>(block) = desc;
}
}
......
paddle/fluid/memory/detail/meta_cache.h 已删除 100644 → 0
浏览文件 @ 5ad24869
/* Copyright (c) 2016 PaddlePaddle 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. */
#pragma once
#include "paddle/fluid/memory/detail/memory_block.h"
#include "paddle/fluid/memory/detail/meta_data.h"
#include <unordered_map>
namespace paddle {
namespace memory {
namespace detail {
/**
* \brief A cache for accessing memory block meta-data that may be expensive
* to access directly.
*
* \note This class exists to unify the metadata format between GPU and CPU
* allocations. It should be removed when the CPU can access all GPU
* allocations directly via UVM.
*/
class MetadataCache {
public:
explicit MetadataCache(bool uses_gpu);
public:
/*! \brief Load the associated metadata for the specified memory block. */
Metadata load(const MemoryBlock* memory_block);
/*! \brief Store the associated metadata for the specified memory block. */
void store(MemoryBlock* memory_block, const Metadata& meta_data);
/*! \brief Indicate that the specified metadata will no longer be used. */
void invalidate(MemoryBlock* memory_block);
public:
MetadataCache(const MetadataCache&) = delete;
MetadataCache& operator=(const MetadataCache&) = delete;
private:
bool uses_gpu_;
private:
typedef std::unordered_map<const MemoryBlock*, Metadata> MetadataMap;
private:
MetadataMap cache_;
};
} // namespace detail
} // namespace memory
} // namespace paddle
paddle/fluid/memory/detail/meta_data.h 已删除 100644 → 0
浏览文件 @ 5ad24869
/* Copyright (c) 2016 PaddlePaddle 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. */
#pragma once
#include "paddle/fluid/memory/detail/memory_block.h"
#include <stddef.h>
namespace paddle {
namespace memory {
namespace detail {
class Metadata {
public:
Metadata(MemoryBlock::Type t, size_t i, size_t s, size_t ts, MemoryBlock* l,
MemoryBlock* r);
Metadata();
public:
/*! \brief Update the guards when metadata is changed */
void update_guards();
/*! \brief Check consistency to previous modification */
bool check_guards() const;
public:
// TODO(gangliao): compress this
// clang-format off
size_t guard_begin = 0;
MemoryBlock::Type type = MemoryBlock::INVALID_CHUNK;
size_t index = 0;
size_t size = 0;
size_t total_size = 0;
MemoryBlock* left_buddy = nullptr;
MemoryBlock* right_buddy = nullptr;
size_t guard_end = 0;
// clang-format on
};
} // namespace detail
} // namespace memory
} // namespace paddle
paddle/fluid/memory/detail/system_allocator.cc
浏览文件 @ 9b3c9643
......@@ -13,16 +13,16 @@ See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/fluid/memory/detail/system_allocator.h"
#include "paddle/fluid/platform/assert.h"
#include "paddle/fluid/platform/cpu_info.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/fluid/platform/gpu_info.h"
#include <stdlib.h> // for malloc and free
#include <sys/mman.h> // for mlock and munlock
#include <algorithm> // for std::max
#include "gflags/gflags.h"
#include "paddle/fluid/platform/assert.h"
#include "paddle/fluid/platform/cpu_info.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/fluid/platform/gpu_info.h"
// If use_pinned_memory is true, CPUAllocator calls mlock, which
// returns pinned and locked memory as staging areas for data exchange
......@@ -35,13 +35,13 @@ namespace paddle {
namespace memory {
namespace detail {
void* CPUAllocator::Alloc(size_t& index, size_t size) {
void* CPUAllocator::Alloc(size_t* index, size_t size) {
// According to http://www.cplusplus.com/reference/cstdlib/malloc/,
// malloc might not return nullptr if size is zero, but the returned
// pointer shall not be dereferenced -- so we make it nullptr.
if (size <= 0) return nullptr;
index = 0; // unlock memory
*index = 0; // unlock memory
void* p;
......@@ -56,7 +56,7 @@ void* CPUAllocator::Alloc(size_t& index, size_t size) {
if (p != nullptr) {
if (FLAGS_use_pinned_memory) {
index = 1;
*index = 1;
mlock(p, size); // lock memory
}
}
......@@ -75,7 +75,7 @@ bool CPUAllocator::UseGpu() const { return false; }
#ifdef PADDLE_WITH_CUDA
void* GPUAllocator::Alloc(size_t& index, size_t size) {
void* GPUAllocator::Alloc(size_t* index, size_t size) {
// CUDA documentation doesn't explain if cudaMalloc returns nullptr
// if size is 0. We just make sure it does.
if (size <= 0) return nullptr;
......@@ -93,7 +93,7 @@ void* GPUAllocator::Alloc(size_t& index, size_t size) {
}
if (result == cudaSuccess) {
index = 0;
*index = 0;
gpu_alloc_size_ += size;
return p;
} else {
......@@ -133,7 +133,7 @@ bool GPUAllocator::UseGpu() const { return true; }
// PINNED memory allows direct DMA transfers by the GPU to and from system
// memory. It’s locked to a physical address.
void* CUDAPinnedAllocator::Alloc(size_t& index, size_t size) {
void* CUDAPinnedAllocator::Alloc(size_t* index, size_t size) {
if (size <= 0) return nullptr;
// NOTE: here, we use CUDAPinnedMaxAllocSize as the maximum memory size
......@@ -154,7 +154,7 @@ void* CUDAPinnedAllocator::Alloc(size_t& index, size_t size) {
cudaError_t result = cudaMallocHost(&p, size);
if (result == cudaSuccess) {
index = 1; // PINNED memory
*index = 1; // PINNED memory
cuda_pinnd_alloc_size_ += size;
return p;
} else {
......
paddle/fluid/memory/detail/system_allocator.h
浏览文件 @ 9b3c9643
......@@ -29,14 +29,14 @@ namespace detail {
class SystemAllocator {
public:
virtual ~SystemAllocator() {}
virtual void* Alloc(size_t& index, size_t size) = 0;
virtual void* Alloc(size_t* index, size_t size) = 0;
virtual void Free(void* p, size_t size, size_t index) = 0;
virtual bool UseGpu() const = 0;
};
class CPUAllocator : public SystemAllocator {
public:
virtual void* Alloc(size_t& index, size_t size);
virtual void* Alloc(size_t* index, size_t size);
virtual void Free(void* p, size_t size, size_t index);
virtual bool UseGpu() const;
};
......@@ -46,7 +46,7 @@ class GPUAllocator : public SystemAllocator {
public:
explicit GPUAllocator(int gpu_id) : gpu_id_(gpu_id) {}
virtual void* Alloc(size_t& index, size_t size);
virtual void* Alloc(size_t* index, size_t size);
virtual void Free(void* p, size_t size, size_t index);
virtual bool UseGpu() const;
......@@ -58,7 +58,7 @@ class GPUAllocator : public SystemAllocator {
class CUDAPinnedAllocator : public SystemAllocator {
public:
virtual void* Alloc(size_t& index, size_t size);
virtual void* Alloc(size_t* index, size_t size);
virtual void Free(void* p, size_t size, size_t index);
virtual bool UseGpu() const;
......
paddle/fluid/memory/detail/system_allocator_test.cc
浏览文件 @ 9b3c9643
......@@ -22,11 +22,11 @@ limitations under the License. */
DECLARE_bool(use_pinned_memory);
void TestAllocator(paddle::memory::detail::SystemAllocator& a, size_t size) {
void TestAllocator(paddle::memory::detail::SystemAllocator* a, size_t size) {
bool freed = false;
{
size_t index;
void* p = a.Alloc(index, size);
void* p = a->Alloc(&index, size);
if (size > 0) {
EXPECT_NE(p, nullptr);
} else {
......@@ -36,7 +36,7 @@ void TestAllocator(paddle::memory::detail::SystemAllocator& a, size_t size) {
int* i = static_cast<int*>(p);
std::shared_ptr<int> ptr(i, [&](void* p) {
freed = true;
a.Free(p, size, index);
a->Free(p, size, index);
});
}
EXPECT_TRUE(freed);
......@@ -45,21 +45,21 @@ void TestAllocator(paddle::memory::detail::SystemAllocator& a, size_t size) {
TEST(CPUAllocator, NoLockMem) {
FLAGS_use_pinned_memory = false;
paddle::memory::detail::CPUAllocator a;
TestAllocator(a, 2048);
TestAllocator(a, 0);
TestAllocator(&a, 2048);
TestAllocator(&a, 0);
}
TEST(CPUAllocator, LockMem) {
FLAGS_use_pinned_memory = true;
paddle::memory::detail::CPUAllocator a;
TestAllocator(a, 2048);
TestAllocator(a, 0);
TestAllocator(&a, 2048);
TestAllocator(&a, 0);
}
#ifdef PADDLE_WITH_CUDA
TEST(GPUAllocator, Alloc) {
paddle::memory::detail::GPUAllocator a(0);
TestAllocator(a, 2048);
TestAllocator(a, 0);
TestAllocator(&a, 2048);
TestAllocator(&a, 0);
}
#endif
paddle/fluid/memory/memory.cc → paddle/fluid/memory/malloc.cc
浏览文件 @ 9b3c9643
......@@ -12,7 +12,7 @@ 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 "paddle/fluid/memory/memory.h"
#include "paddle/fluid/memory/malloc.h"
#include "glog/logging.h"
......
paddle/fluid/memory/malloc.h 0 → 100644
浏览文件 @ 9b3c9643
/* Copyright (c) 2016 PaddlePaddle 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. */
#pragma once
#include "paddle/fluid/platform/place.h"
namespace paddle {
namespace memory {
/**
* \brief Allocate memory block in one place.
*
* \param[in] place Allocation place (CPU or GPU).
* \param[in] size Allocation size.
*
* \return Allocated memory block address.
*
* \note If return nullptr, it indicates memory allocation failed
* because insufficient memory in current system. When Alloc
* function is invoked, you must check the returned memory
* address is valid or not.
*/
template <typename Place>
void* Alloc(Place place, size_t size);
/**
* \brief Free memory block in one place.
*
* \param[in] place Allocation place (CPU or GPU).
* \param[in] ptr Memory block address to free.
*
*/
template <typename Place>
void Free(Place place, void* ptr);
/**
* \brief Total size of used memory in one place.
*
* \param[in] place Allocation place (CPU or GPU).
*
*/
template <typename Place>
size_t Used(Place place);
struct Usage : public boost::static_visitor<size_t> {
size_t operator()(const platform::CPUPlace& cpu) const;
size_t operator()(const platform::CUDAPlace& gpu) const;
size_t operator()(const platform::CUDAPinnedPlace& cuda_pinned) const;
};
size_t memory_usage(const platform::Place& p);
/**
* \brief Free memory block in one place.
*
* \note In some cases, custom deleter is used to
* deallocate the memory automatically for
* std::unique_ptr<T> in tensor.h.
*
*/
template <typename T, typename Place>
class PODDeleter {
static_assert(std::is_pod<T>::value, "T must be POD");
public:
explicit PODDeleter(Place place) : place_(place) {}
void operator()(T* ptr) { Free(place_, static_cast<void*>(ptr)); }
private:
Place place_;
};
/**
* \brief Free memory block in one place does not meet POD
*
* \note In some cases, custom deleter is used to
* deallocate the memory automatically for
* std::unique_ptr<T> in tensor.h.
*
*/
template <typename T, typename Place>
class PlainDeleter {
public:
explicit PlainDeleter(Place place) : place_(place) {}
void operator()(T* ptr) { Free(place_, reinterpret_cast<void*>(ptr)); }
private:
Place place_;
};
} // namespace memory
} // namespace paddle
paddle/fluid/memory/memory_test.cc → paddle/fluid/memory/malloc_test.cc
浏览文件 @ 9b3c9643
......@@ -12,13 +12,12 @@ 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 "paddle/fluid/memory/memory.h"
#include "paddle/fluid/memory/malloc.h"
#include <unordered_map>
#include "gtest/gtest.h"
#include "paddle/fluid/memory/detail/memory_block.h"
#include "paddle/fluid/memory/detail/meta_data.h"
#include "paddle/fluid/platform/cpu_info.h"
#include "paddle/fluid/platform/gpu_info.h"
#include "paddle/fluid/platform/place.h"
......@@ -28,7 +27,7 @@ inline bool is_aligned(void const *p) {
}
size_t align(size_t size, paddle::platform::CPUPlace place) {
size += sizeof(paddle::memory::detail::Metadata);
size += sizeof(paddle::memory::detail::MemoryBlock::Desc);
size_t alignment = paddle::platform::CpuMinChunkSize();
size_t remaining = size % alignment;
return remaining == 0 ? size : size + (alignment - remaining);
......@@ -86,7 +85,7 @@ TEST(BuddyAllocator, CPUMultAlloc) {
#ifdef PADDLE_WITH_CUDA
size_t align(size_t size, paddle::platform::CUDAPlace place) {
size += sizeof(paddle::memory::detail::Metadata);
size += sizeof(paddle::memory::detail::MemoryBlock::Desc);
size_t alignment = paddle::platform::GpuMinChunkSize();
size_t remaining = size % alignment;
return remaining == 0 ? size : size + (alignment - remaining);
......@@ -142,7 +141,7 @@ TEST(BuddyAllocator, GPUMultAlloc) {
}
size_t align(size_t size, paddle::platform::CUDAPinnedPlace place) {
size += sizeof(paddle::memory::detail::Metadata);
size += sizeof(paddle::memory::detail::MemoryBlock::Desc);
size_t alignment = paddle::platform::CUDAPinnedMinChunkSize();
size_t remaining = size % alignment;
return remaining == 0 ? size : size + (alignment - remaining);
......
paddle/fluid/memory/memory.h
浏览文件 @ 9b3c9643
......@@ -14,91 +14,5 @@ limitations under the License. */
#pragma once
#include "paddle/fluid/platform/place.h"
namespace paddle {
namespace memory {
/**
* \brief Allocate memory block in one place.
*
* \param[in] place Allocation place (CPU or GPU).
* \param[in] size Allocation size.
*
* \return Allocated memory block address.
*
* \note If return nullptr, it indicates memory allocation failed
* because insufficient memory in current system. When Alloc
* function is invoked, you must check the returned memory
* address is valid or not.
*/
template <typename Place>
void* Alloc(Place place, size_t size);
/**
* \brief Free memory block in one place.
*
* \param[in] place Allocation place (CPU or GPU).
* \param[in] ptr Memory block address to free.
*
*/
template <typename Place>
void Free(Place place, void* ptr);
/**
* \brief Total size of used memory in one place.
*
* \param[in] place Allocation place (CPU or GPU).
*
*/
template <typename Place>
size_t Used(Place place);
struct Usage : public boost::static_visitor<size_t> {
size_t operator()(const platform::CPUPlace& cpu) const;
size_t operator()(const platform::CUDAPlace& gpu) const;
size_t operator()(const platform::CUDAPinnedPlace& cuda_pinned) const;
};
size_t memory_usage(const platform::Place& p);
/**
* \brief Free memory block in one place.
*
* \note In some cases, custom deleter is used to
* deallocate the memory automatically for
* std::unique_ptr<T> in tensor.h.
*
*/
template <typename T, typename Place>
class PODDeleter {
static_assert(std::is_pod<T>::value, "T must be POD");
public:
explicit PODDeleter(Place place) : place_(place) {}
void operator()(T* ptr) { Free(place_, static_cast<void*>(ptr)); }
private:
Place place_;
};
/**
* \brief Free memory block in one place does not meet POD
*
* \note In some cases, custom deleter is used to
* deallocate the memory automatically for
* std::unique_ptr<T> in tensor.h.
*
*/
template <typename T, typename Place>
class PlainDeleter {
public:
explicit PlainDeleter(Place place) : place_(place) {}
void operator()(T* ptr) { Free(place_, reinterpret_cast<void*>(ptr)); }
private:
Place place_;
};
} // namespace memory
} // namespace paddle
#include "paddle/fluid/memory/malloc.h"
#include "paddle/fluid/memory/memcpy.h"
paddle/fluid/memory/pinned_memory_test.cu
浏览文件 @ 9b3c9643
......@@ -15,7 +15,6 @@ limitations under the License. */
#include <unordered_map>
#include "paddle/fluid/memory/detail/memory_block.h"
#include "paddle/fluid/memory/detail/meta_data.h"
#include "paddle/fluid/memory/memcpy.h"
#include "paddle/fluid/memory/memory.h"
......
paddle/fluid/operators/CMakeLists.txt
浏览文件 @ 9b3c9643
......@@ -263,7 +263,7 @@ cc_test(net_op_test SRCS net_op_test.cc DEPS net_op)
cc_test(scatter_test SRCS scatter_test.cc DEPS tensor)
cc_test(beam_search_decode_op_test SRCS beam_search_decode_op_test.cc DEPS lod_tensor)
cc_test(beam_search_op_test SRCS beam_search_op_test.cc DEPS lod_tensor beam_search_op)
cc_test(strided_memcpy_test SRCS strided_memcpy_test.cc DEPS tensor paddle_memory)
cc_test(strided_memcpy_test SRCS strided_memcpy_test.cc DEPS tensor memory)
cc_test(save_load_op_test SRCS save_load_op_test.cc DEPS save_op load_op)
cc_test(save_load_combine_op_test SRCS save_load_combine_op_test.cc DEPS save_combine_op load_combine_op)
nv_test(nccl_op_test SRCS nccl_op_test.cu.cc DEPS nccl_op gpu_info device_context)
......
paddle/fluid/operators/activation_mkldnn_op.cc
浏览文件 @ 9b3c9643
......@@ -13,8 +13,8 @@
limitations under the License. */
#include "mkldnn.hpp"
#include "mkldnn_activation_op.h"
#include "paddle/fluid/operators/activation_op.h"
#include "paddle/fluid/operators/mkldnn_activation_op.h"
namespace paddle {
namespace operators {
......@@ -40,18 +40,24 @@ void eltwise_forward(const ExecContext &ctx, mkldnn::algorithm algorithm,
const T *dst_data = dst->template mutable_data<T>(ctx.GetPlace());
// get memory dim
PADDLE_ENFORCE(src->dims().size() == 4,
"Input dim must be with 4, i.e. NCHW");
PADDLE_ENFORCE(src->dims().size() == 2 || src->dims().size() == 4,
"Input dim must be with 2 or 4");
std::vector<int> src_tz = framework::vectorize2int(src->dims());
// create memory description
// TODO(kbinias-intel): support more formats
auto data_md = platform::MKLDNNMemDesc(src_tz, mkldnn::memory::f32,
mkldnn::memory::format::nchw);
auto data_md = src_tz.size() == 2
? platform::MKLDNNMemDesc(src_tz, mkldnn::memory::f32,
mkldnn::memory::format::nc)
: platform::MKLDNNMemDesc(src_tz, mkldnn::memory::f32,
mkldnn::memory::format::nchw);
// create memory primitives
auto src_memory = mkldnn::memory({data_md, mkldnn_engine}, (void *)src_data);
auto dst_memory = mkldnn::memory({data_md, mkldnn_engine}, (void *)dst_data);
auto src_memory =
mkldnn::memory({data_md, mkldnn_engine},
static_cast<void *>(const_cast<float *>(src_data)));
auto dst_memory =
mkldnn::memory({data_md, mkldnn_engine},
static_cast<void *>(const_cast<float *>(dst_data)));
auto forward_desc = mkldnn::eltwise_forward::desc(
mkldnn::prop_kind::forward_training, algorithm, data_md, alpha, beta);
......@@ -91,15 +97,21 @@ void eltwise_grad(const ExecContext &ctx, mkldnn::algorithm algorithm,
std::vector<int> src_tz = framework::vectorize2int(x->dims());
// create memory description
auto data_md = platform::MKLDNNMemDesc(src_tz, mkldnn::memory::f32,
mkldnn::memory::format::nchw);
auto data_md = src_tz.size() == 2
? platform::MKLDNNMemDesc(src_tz, mkldnn::memory::f32,
mkldnn::memory::format::nc)
: platform::MKLDNNMemDesc(src_tz, mkldnn::memory::f32,
mkldnn::memory::format::nchw);
// create memory primitives
auto src_memory = mkldnn::memory({data_md, mkldnn_engine}, (void *)src);
auto src_memory = mkldnn::memory(
{data_md, mkldnn_engine}, static_cast<void *>(const_cast<float *>(src)));
auto diff_src_memory =
mkldnn::memory({data_md, mkldnn_engine}, (void *)diff_src);
mkldnn::memory({data_md, mkldnn_engine},
static_cast<void *>(const_cast<float *>(diff_src)));
auto diff_dst_memory =
mkldnn::memory({data_md, mkldnn_engine}, (void *)diff_dst);
mkldnn::memory({data_md, mkldnn_engine},
static_cast<void *>(const_cast<float *>(diff_dst)));
auto backward_desc =
mkldnn::eltwise_backward::desc(algorithm, data_md, data_md, alpha, beta);
......
paddle/fluid/operators/detail/CMakeLists.txt
浏览文件 @ 9b3c9643
......@@ -5,5 +5,5 @@ if(WITH_DISTRIBUTE)
set_source_files_properties(serde_test.cc grpc_server_test.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
cc_test(serde_test SRCS serde_test.cc variable_response.cc DEPS grpc++_unsecure grpc_unsecure gpr
cares zlib protobuf sendrecvop_grpc)
cc_test(grpc_server_test SRCS grpc_server_test.cc DEPS sendrecvop_grpc grpc++_unsecure grpc_unsecure gpr cares zlib protobuf)
cc_test(grpc_server_test SRCS grpc_server_test.cc DEPS sendrecvop_grpc grpc++_unsecure grpc_unsecure gpr cares zlib protobuf executor proto_desc lookup_table_op)
endif()
paddle/fluid/operators/detail/grpc_client.cc
浏览文件 @ 9b3c9643
......@@ -138,7 +138,7 @@ bool RPCClient::AsyncPrefetchVariable(const std::string& ep,
auto* var = p_scope->FindVar(in_var_name_val);
::grpc::ByteBuffer req;
SerializeToByteBuffer(in_var_name_val, var, *p_ctx, &req);
SerializeToByteBuffer(in_var_name_val, var, *p_ctx, &req, out_var_name_val);
// var handle
VarHandle var_h;
......
paddle/fluid/operators/detail/grpc_server.cc
浏览文件 @ 9b3c9643
......@@ -138,39 +138,48 @@ class RequestPrefetch final : public RequestBase {
framework::Scope* scope,
const platform::DeviceContext* dev_ctx,
framework::Executor* executor,
framework::ProgramDesc* program, int blkid)
framework::ProgramDesc* program,
framework::ExecutorPrepareContext* prefetch_ctx)
: RequestBase(service, cq, dev_ctx),
responder_(&ctx_),
scope_(scope),
executor_(executor),
program_(program),
blkid_(blkid) {
prefetch_ctx_(prefetch_ctx) {
request_.reset(new VariableResponse(scope, dev_ctx_));
int method_id = static_cast<int>(detail::GrpcMethod::kPrefetchVariable);
service_->RequestAsyncUnary(method_id, &ctx_, &request_, &responder_, cq_,
cq_, this);
service_->RequestAsyncUnary(method_id, &ctx_, request_.get(), &responder_,
cq_, cq_, this);
}
virtual ~RequestPrefetch() {}
virtual std::string GetReqName() { return request_.varname(); }
virtual std::string GetReqName() { return request_->Varname(); }
virtual void Process() {
// prefetch process...
::grpc::ByteBuffer reply;
// TODO(Yancey1989): execute the Block which containers prefetch ops
VLOG(3) << "RequestPrefetch Process in";
std::string var_name = request_->OutVarname();
auto var_desc = program_->Block(0).FindVar(var_name);
framework::Scope* local_scope = &scope_->NewScope();
auto* var = local_scope->FindVar(var_name);
InitializeVariable(var, var_desc->GetType());
executor_->RunPreparedContext(prefetch_ctx_, scope_, false, false);
SerializeToByteBuffer(var_name, var, *dev_ctx_, &reply);
responder_.Finish(reply, ::grpc::Status::OK, this);
status_ = FINISH;
}
protected:
sendrecv::VariableMessage request_;
std::shared_ptr<VariableResponse> request_;
ServerAsyncResponseWriter<::grpc::ByteBuffer> responder_;
framework::Scope* scope_;
framework::Executor* executor_;
framework::ProgramDesc* program_;
framework::ExecutorPrepareContext* prefetch_ctx_;
int blkid_;
};
......@@ -268,7 +277,7 @@ void AsyncGRPCServer::TryToRegisterNewPrefetchOne() {
}
RequestPrefetch* prefetch =
new RequestPrefetch(&service_, cq_prefetch_.get(), scope_, dev_ctx_,
executor_, program_, prefetch_blk_id_);
executor_, program_, prefetch_ctx_);
VLOG(4) << "Create RequestPrefetch status:" << prefetch->Status();
}
......
paddle/fluid/operators/detail/grpc_server.h
浏览文件 @ 9b3c9643
......@@ -63,6 +63,10 @@ class AsyncGRPCServer final {
void SetExecutor(framework::Executor *executor) { executor_ = executor; }
void SetPrefetchPreparedCtx(framework::ExecutorPrepareContext *prepared) {
prefetch_ctx_ = prepared;
}
int GetSelectedPort() { return selected_port_; }
const ReceivedMessage Get() { return this->var_recv_queue_.Pop(); }
......@@ -111,6 +115,7 @@ class AsyncGRPCServer final {
std::unique_ptr<std::thread> t_prefetch_;
int prefetch_blk_id_;
framework::ExecutorPrepareContext *prefetch_ctx_;
framework::ProgramDesc *program_;
framework::Executor *executor_;
int selected_port_;
......
paddle/fluid/operators/detail/grpc_server_test.cc
浏览文件 @ 9b3c9643
......@@ -20,43 +20,121 @@ limitations under the License. */
#include "paddle/fluid/operators/detail/grpc_client.h"
#include "paddle/fluid/operators/detail/grpc_server.h"
#include "paddle/fluid/framework/block_desc.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/operator.h"
namespace framework = paddle::framework;
namespace platform = paddle::platform;
namespace detail = paddle::operators::detail;
USE_OP(lookup_table);
std::unique_ptr<detail::AsyncGRPCServer> rpc_service_;
framework::BlockDesc* AppendPrefetchBlcok(framework::ProgramDesc* program) {
auto root_block = program->MutableBlock(0);
auto* block = program->AppendBlock(*root_block);
framework::VariableNameMap input({{"W", {"w"}}, {"Ids", {"ids"}}});
framework::VariableNameMap output({{"Output", {"out"}}});
auto op = block->AppendOp();
op->SetType("lookup_table");
op->SetInput("W", {"w"});
op->SetInput("Ids", {"ids"});
op->SetOutput("Out", {"out"});
auto& out = *root_block->Var("out");
out.SetType(framework::proto::VarType::SELECTED_ROWS);
out.SetShape({10, 10});
return block;
}
void CreateVarsOnScope(framework::Scope* scope, platform::CPUPlace* place) {
auto w_var = scope->Var("w");
w_var->GetMutable<framework::SelectedRows>();
auto out_var = scope->Var("out");
out_var->GetMutable<framework::SelectedRows>();
auto ids_var = scope->Var("ids");
ids_var->GetMutable<framework::SelectedRows>();
}
void InitTensorsOnClient(framework::Scope* scope, platform::CPUPlace* place,
int64_t rows_numel) {
CreateVarsOnScope(scope, place);
auto ids_var = scope->Var("ids")->GetMutable<framework::SelectedRows>();
auto rows = ids_var->mutable_rows();
for (int64_t i = 0; i < rows_numel; ++i) rows->push_back(i * 2);
ids_var->mutable_value()->Resize({rows_numel, 1});
ids_var->mutable_value()->mutable_data<float>(*place);
}
void InitTensorsOnServer(framework::Scope* scope, platform::CPUPlace* place,
int64_t rows_numel) {
CreateVarsOnScope(scope, place);
auto w = scope->Var("w")->GetMutable<framework::SelectedRows>();
auto rows = w->mutable_rows();
for (int64_t i = 0; i < rows_numel; ++i) rows->push_back(i);
auto w_value = w->mutable_value();
w_value->Resize({rows_numel, 10});
auto ptr = w_value->mutable_data<float>(*place);
for (int64_t i = 0; i < w_value->numel(); ++i) {
ptr[i] = static_cast<float>(i / 10);
}
}
void StartServer(const std::string& endpoint) {
rpc_service_.reset(new detail::AsyncGRPCServer(endpoint));
framework::ProgramDesc program;
framework::Scope scope;
platform::CPUPlace place;
framework::Executor exe(place);
platform::CPUDeviceContext ctx(place);
auto* block = AppendPrefetchBlcok(&program);
auto prepared = exe.Prepare(program, block->ID());
InitTensorsOnServer(&scope, &place, 10);
rpc_service_->SetProgram(&program);
rpc_service_->SetPrefetchPreparedCtx(prepared.get());
rpc_service_->SetDevCtx(&ctx);
rpc_service_->SetScope(&scope);
rpc_service_->SetExecutor(&exe);
rpc_service_->RunSyncUpdate();
}
TEST(PREFETCH, CPU) {
// start up a server instance backend
// TODO(Yancey1989): Need to start a server with optimize blocks and
// prefetch blocks.
std::thread server_thread(StartServer, "127.0.0.1:8889");
sleep(2);
framework::Scope scope;
platform::CPUPlace place;
platform::CPUDeviceContext ctx(place);
// create var on local scope
std::string in_var_name("in");
int64_t rows_numel = 5;
InitTensorsOnClient(&scope, &place, rows_numel);
std::string in_var_name("ids");
std::string out_var_name("out");
auto* in_var = scope.Var(in_var_name);
auto* in_tensor = in_var->GetMutable<framework::LoDTensor>();
in_tensor->Resize({10, 10});
VLOG(3) << "before mutable_data";
in_tensor->mutable_data<int>(place);
scope.Var(out_var_name);
VLOG(3) << "before fetch";
detail::RPCClient client;
client.AsyncPrefetchVariable("127.0.0.1:8889", ctx, scope, in_var_name,
out_var_name);
client.Wait();
auto var = scope.Var(out_var_name);
auto value = var->GetMutable<framework::SelectedRows>()->value();
auto ptr = value.mutable_data<float>(place);
rpc_service_->ShutDown();
server_thread.join();
rpc_service_.reset(nullptr);
for (int64_t i = 0; i < rows_numel; ++i) {
EXPECT_EQ(ptr[0 + i * value.dims()[1]], static_cast<float>(i * 2));
}
}
paddle/fluid/operators/detail/send_recv.proto
浏览文件 @ 9b3c9643
......@@ -21,7 +21,7 @@ service SendRecvService {
rpc SendVariable(VariableMessage) returns (VoidMessage) {}
// Argument VariableMessage for GetVariable should only contain varname.
rpc GetVariable(VariableMessage) returns (VariableMessage) {}
// Prefetch variable by Ids
// pre-fetch variable by given variable name and Ids
rpc PrefetchVariable(VariableMessage) returns (VariableMessage) {}
}
......@@ -67,6 +67,8 @@ message VariableMessage {
bytes serialized = 8;
// selected_rows data
bytes rows = 9;
// Look up table block execution output variable name.
string out_varname = 10;
}
message VoidMessage {}
paddle/fluid/operators/detail/sendrecvop_utils.cc
浏览文件 @ 9b3c9643
......@@ -30,11 +30,9 @@ namespace detail {
void SerializeToByteBuffer(const std::string& name, framework::Variable* var,
const platform::DeviceContext& ctx,
::grpc::ByteBuffer* msg) {
::grpc::ByteBuffer* msg,
const std::string& out_name) {
using VarMsg = sendrecv::VariableMessage;
sendrecv::VariableMessage request;
std::string header;
request.AppendToString(&header);
// When using GPU, need to free the copied CPU buffer
// when the ByteBuffer destroies
// TODO(typhoonzero): add unref here, if we have dependent
......@@ -52,6 +50,9 @@ void SerializeToByteBuffer(const std::string& name, framework::Variable* var,
e.WriteUint64(VarMsg::kTypeFieldNumber, 1);
}
if (!out_name.empty()) {
e.WriteString(VarMsg::kOutVarnameFieldNumber, out_name);
}
switch (framework::ToVarType(var->Type())) {
case framework::proto::VarType_Type_LOD_TENSOR: {
auto tensor = var->Get<framework::LoDTensor>();
......
paddle/fluid/operators/detail/sendrecvop_utils.h
浏览文件 @ 9b3c9643
......@@ -46,7 +46,8 @@ typedef void (*DestroyCallback)(void*);
void SerializeToByteBuffer(const std::string& name, framework::Variable* var,
const platform::DeviceContext& ctx,
::grpc::ByteBuffer* msg);
::grpc::ByteBuffer* msg,
const std::string& out_varname = std::string());
void DeserializeFromByteBuffer(const ::grpc::ByteBuffer& msg,
const platform::DeviceContext& ctx,
......
paddle/fluid/operators/detail/variable_response.cc
浏览文件 @ 9b3c9643
......@@ -416,6 +416,20 @@ int VariableResponse::Parse(Source* source) {
}
break;
}
case sendrecv::VariableMessage::kOutVarnameFieldNumber: {
uint32_t length;
if ((wt != WIRETYPE_LENGTH_DELIMITED) || !input.ReadVarint32(&length)) {
return tag;
}
std::string temp;
if (!input.ReadString(&temp, length)) {
return tag;
}
meta_.set_out_varname(temp);
break;
}
default: {
// Unknown tag, return unknown error.
......
paddle/fluid/operators/detail/variable_response.h
浏览文件 @ 9b3c9643
......@@ -55,6 +55,7 @@ class VariableResponse {
int Parse(const ::grpc::ByteBuffer& byte_buffer);
inline std::string Varname() { return meta_.varname(); }
inline std::string OutVarname() { return meta_.out_varname(); }
// should call parse first.
framework::Variable* GetVar() { return scope_->FindVar(meta_.varname()); }
......
paddle/fluid/operators/lod_reset_op.h
浏览文件 @ 9b3c9643
......@@ -14,6 +14,8 @@ limitations under the License. */
#pragma once
#include <algorithm>
#include <vector>
#include "paddle/fluid/framework/eigen.h"
#include "paddle/fluid/framework/op_registry.h"
......@@ -35,7 +37,7 @@ class LoDResetKernel : public framework::OpKernel<T> {
if (lod_t->lod().size() > 0) {
auto y_lod = lod_t->lod();
auto last_level = y_lod[y_lod.size() - 1];
PADDLE_ENFORCE_EQ(last_level.back(), in->dims()[0],
PADDLE_ENFORCE_EQ((int64_t)(last_level.back()), in->dims()[0],
"Last value of `Y`'s last level LoD should be equal "
"to the first dimension of `X`");
out->set_lod(y_lod);
......
paddle/fluid/platform/CMakeLists.txt
浏览文件 @ 9b3c9643
......@@ -42,12 +42,12 @@ ENDIF()
# memcpy depends on device_context, here add deps individually for
# avoiding cycle dependencies
cc_library(device_context SRCS device_context.cc DEPS memory buddy_allocator
system_allocator memory_block meta_data meta_cache place eigen3 ${GPU_CTX_DEPS} ${MKLDNN_CTX_DEPS})
cc_library(device_context SRCS device_context.cc DEPS malloc
place eigen3 ${GPU_CTX_DEPS} ${MKLDNN_CTX_DEPS})
nv_test(device_context_test SRCS device_context_test.cu DEPS device_context gpu_info)
nv_test(cudnn_helper_test SRCS cudnn_helper_test.cc DEPS dynload_cuda)
nv_test(transform_test SRCS transform_test.cu DEPS paddle_memory place device_context)
nv_test(transform_test SRCS transform_test.cu DEPS memory place device_context)
cc_library(device_tracer SRCS device_tracer.cc DEPS boost profiler_proto ${GPU_CTX_DEPS})
cc_library(profiler SRCS profiler.cc DEPS device_context device_tracer)
......
paddle/fluid/pybind/CMakeLists.txt
浏览文件 @ 9b3c9643
......@@ -2,13 +2,13 @@ if(WITH_PYTHON)
if(WITH_AMD_GPU)
hip_library(paddle_pybind SHARED
SRCS pybind.cc exception.cc protobuf.cc const_value.cc recordio.cc
DEPS pybind python backward proto_desc paddle_memory executor prune init profiler feed_fetch_method
DEPS pybind python backward proto_desc memory executor prune init profiler feed_fetch_method
parallel_executor
${GLOB_OP_LIB})
else()
cc_library(paddle_pybind SHARED
SRCS pybind.cc exception.cc protobuf.cc const_value.cc recordio.cc
DEPS pybind python backward proto_desc paddle_memory executor prune init profiler feed_fetch_method
DEPS pybind python backward proto_desc memory executor prune init profiler feed_fetch_method
parallel_executor
${GLOB_OP_LIB})
if(NOT APPLE AND NOT ANDROID)
......
paddle/testing/CMakeLists.txt
浏览文件 @ 9b3c9643
......@@ -6,6 +6,6 @@ if(WITH_TESTING)
add_library(paddle_test_util STATIC TestUtil.cpp)
add_dependencies(paddle_test_util paddle_proto ${external_project_dependencies})
if(NOT MOBILE_INFERENCE)
cc_library(paddle_gtest_main SRCS paddle_gtest_main.cc DEPS init paddle_memory gtest gflags)
cc_library(paddle_gtest_main SRCS paddle_gtest_main.cc DEPS init memory gtest gflags)
endif()
endif()
python/paddle/fluid/debuger.py
浏览文件 @ 9b3c9643
......@@ -16,6 +16,7 @@ import sys
import re
from graphviz import GraphPreviewGenerator
import proto.framework_pb2 as framework_pb2
from google.protobuf import text_format
_vartype2str_ = [
"UNK",
......@@ -100,7 +101,7 @@ def repr_var(vardesc):
def pprint_program_codes(program_desc):
reprs = []
for block_idx in range(program_desc.num_blocks()):
for block_idx in range(program_desc.desc.num_blocks()):
block_desc = program_desc.block(block_idx)
block_repr = pprint_block_codes(block_desc)
reprs.append(block_repr)
......@@ -127,7 +128,7 @@ def pprint_block_codes(block_desc, show_backward=False):
if type(block_desc) is not framework_pb2.BlockDesc:
block_desc = framework_pb2.BlockDesc.FromString(
block_desc.serialize_to_string())
block_desc.desc.serialize_to_string())
var_reprs = []
op_reprs = []
for var in block_desc.vars:
......@@ -237,13 +238,13 @@ def draw_block_graphviz(block, highlights=None, path="./temp.dot"):
# draw parameters and args
vars = {}
for var in desc.vars:
shape = [str(i) for i in var.lod_tensor.tensor.dims]
if not shape:
shape = ['null']
# TODO(gongwb): format the var.type
# create var
if var.persistable:
varn = graph.add_param(
var.name, var.type, shape, highlight=need_highlight(var.name))
var.name,
str(var.type).replace("\n", "<br />", 1),
highlight=need_highlight(var.name))
else:
varn = graph.add_arg(var.name, highlight=need_highlight(var.name))
vars[var.name] = varn
......@@ -268,4 +269,4 @@ def draw_block_graphviz(block, highlights=None, path="./temp.dot"):
for var in op.outputs:
add_op_link_var(opn, var, True)
graph(path, show=True)
graph(path, show=False)
python/paddle/fluid/framework.py
浏览文件 @ 9b3c9643
......@@ -965,6 +965,13 @@ class Block(object):
if var.type == core.VarDesc.VarType.STEP_SCOPES:
ret_var = self.create_var(
name=var.name, persistable=var.persistable, type=var.type)
elif var.type == core.VarDesc.VarType.SELECTED_ROWS:
ret_var = self.create_var(
name=var.name,
shape=var.shape,
dtype=var.dtype,
type=var.type,
persistable=True)
else:
ret_var = self.create_var(
name=var.name,
......
python/paddle/fluid/graphviz.py
浏览文件 @ 9b3c9643
......@@ -83,7 +83,7 @@ class Graph(object):
file = open(dot_path, 'w')
file.write(self.__str__())
image_path = os.path.join(
os.path.dirname(__file__), dot_path[:-3] + "pdf")
os.path.dirname(dot_path), dot_path[:-3] + "pdf")
cmd = ["dot", "-Tpdf", dot_path, "-o", image_path]
subprocess.Popen(
cmd,
......@@ -199,7 +199,7 @@ class GraphPreviewGenerator(object):
else:
self.graph.show(path)
def add_param(self, name, data_type, shape, highlight=False):
def add_param(self, name, data_type, highlight=False):
label = '\n'.join([
'<<table cellpadding="5">',
' <tr>',
......@@ -214,11 +214,6 @@ class GraphPreviewGenerator(object):
str(data_type),
' </td>'
' </tr>',
' <tr>',
' <td>',
'[%s]' % 'x'.join(shape),
' </td>'
' </tr>',
'</table>>',
])
return self.graph.node(
......
python/paddle/fluid/tests/unittests/test_activation_op.py
浏览文件 @ 9b3c9643
......@@ -535,9 +535,37 @@ class TestSwish(OpTest):
#--------------------test MKLDNN--------------------
class TestMKLDNNRelu(TestRelu):
class TestMKLDNNReluDim2(TestRelu):
def setUp(self):
super(TestMKLDNNRelu, self).setUp()
super(TestMKLDNNReluDim2, self).setUp()
self.attrs = {"use_mkldnn": True}
class TestMKLDNNTanhDim2(TestTanh):
def setUp(self):
super(TestMKLDNNTanhDim2, self).setUp()
self.attrs = {"use_mkldnn": True}
class TestMKLDNNSqrtDim2(TestSqrt):
def setUp(self):
super(TestMKLDNNSqrtDim2, self).setUp()
self.attrs = {"use_mkldnn": True}
class TestMKLDNNAbsDim2(TestAbs):
def setUp(self):
super(TestMKLDNNAbsDim2, self).setUp()
self.attrs = {"use_mkldnn": True}
class TestMKLDNNReluDim4(TestRelu):
def setUp(self):
super(TestMKLDNNReluDim4, self).setUp()
x = np.random.uniform(-1, 1, [2, 4, 3, 5]).astype("float32")
# The same reason with TestAbs
......@@ -549,9 +577,9 @@ class TestMKLDNNRelu(TestRelu):
self.attrs = {"use_mkldnn": True}
class TestMKLDNNTanh(TestTanh):
class TestMKLDNNTanhDim4(TestTanh):
def setUp(self):
super(TestMKLDNNTanh, self).setUp()
super(TestMKLDNNTanhDim4, self).setUp()
self.inputs = {
'X': np.random.uniform(0.1, 1, [2, 4, 3, 5]).astype("float32")
......@@ -560,9 +588,9 @@ class TestMKLDNNTanh(TestTanh):
self.attrs = {"use_mkldnn": True}
class TestMKLDNNSqrt(TestSqrt):
class TestMKLDNNSqrtDim4(TestSqrt):
def setUp(self):
super(TestMKLDNNSqrt, self).setUp()
super(TestMKLDNNSqrtDim4, self).setUp()
self.inputs = {
'X': np.random.uniform(0.1, 1, [2, 4, 3, 5]).astype("float32")
......@@ -571,9 +599,9 @@ class TestMKLDNNSqrt(TestSqrt):
self.attrs = {"use_mkldnn": True}
class TestMKLDNNAbs(TestAbs):
class TestMKLDNNAbsDim4(TestAbs):
def setUp(self):
super(TestMKLDNNAbs, self).setUp()
super(TestMKLDNNAbsDim4, self).setUp()
x = np.random.uniform(-1, 1, [2, 4, 3, 5]).astype("float32")
# The same reason with TestAbs
......
python/paddle/fluid/tests/unittests/test_debugger.py
浏览文件 @ 9b3c9643
......@@ -51,7 +51,9 @@ class TestDebugger(unittest.TestCase):
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
print(debuger.pprint_program_codes(p.desc))
print(debuger.pprint_program_codes(p))
debuger.draw_block_graphviz(p.block(0), path="./test.dot")
if __name__ == '__main__':
......
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