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未验证 提交 70ea88bf 编写于 作者: 姜 姜永久 提交者： GitHub
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Yj/rm core ops exp (#49490) 

* rm op_function_generator

* rm op_func_generator.h

* rm op_function

* modify cmake

* rm op_function.h

* rm check for op_function_generator.cc

* reset imperative

* rm python part

* fix imperative

* lint

* lint

* modify legacy_c

* review

* modify

* modify legacy

* rm gen op_functions code

* reset framework

* rm core.ops for test

* core.ops->core.eager.ops.legacy

* not raiseError for xpu
上级 192eb4d5
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Showing with 11 addition and 1030 deletion
paddle/fluid/eager/auto_code_generator/eager_generator.cc
浏览文件 @ 70ea88bf
......@@ -23,7 +23,7 @@
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/variable.h"
#include "paddle/fluid/pybind/op_function_generator.h"
#include "paddle/fluid/pybind/eager_generator.h"
#include "paddle/fluid/pybind/pybind.h"
#include "paddle/fluid/string/string_helper.h"
......
paddle/fluid/pybind/.gitignore
浏览文件 @ 70ea88bf
pybind.h
op_function1.cc
op_function2.cc
op_function3.cc
op_function4.cc
op_function5.cc
op_function6.cc
op_function7.cc
op_function8.cc
eager_op_function.cc
eager_legacy_op_function.cc
paddle/fluid/pybind/CMakeLists.txt
浏览文件 @ 70ea88bf
......@@ -138,15 +138,7 @@ set(PYBIND_SRCS
cuda_streams_py.cc
xpu_streams_py.cc
jit.cc
auto_parallel_py.cc
op_function1.cc
op_function2.cc
op_function3.cc
op_function4.cc
op_function5.cc
op_function6.cc
op_function7.cc
op_function8.cc)
auto_parallel_py.cc)
if(WITH_CUSTOM_DEVICE)
set(PYBIND_DEPS ${PYBIND_DEPS} phi_capi)
......@@ -295,8 +287,6 @@ if(WITH_PYTHON)
list(APPEND OP_FUNCTION_GENERETOR_DEPS ${PYTHON_LIBRARIES})
endif()
add_executable(op_function_generator op_function_generator.cc)
target_link_libraries(op_function_generator ${OP_FUNCTION_GENERETOR_DEPS})
add_executable(eager_legacy_op_function_generator
eager_legacy_op_function_generator.cc)
target_link_libraries(eager_legacy_op_function_generator
......@@ -308,32 +298,14 @@ if(WITH_PYTHON)
endif()
get_property(os_dependency_modules GLOBAL PROPERTY OS_DEPENDENCY_MODULES)
target_link_libraries(op_function_generator ${os_dependency_modules})
target_link_libraries(eager_legacy_op_function_generator
${os_dependency_modules})
if(WITH_ROCM)
target_link_libraries(op_function_generator ${ROCM_HIPRTC_LIB})
target_link_libraries(eager_legacy_op_function_generator ${ROCM_HIPRTC_LIB})
target_link_libraries(kernel_signature_generator ${ROCM_HIPRTC_LIB})
endif()
set(op_function_output_path ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/)
set(impl_file1 ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/op_function1.cc)
set(tmp_impl_file1 ${impl_file1}.tmp)
set(impl_file2 ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/op_function2.cc)
set(tmp_impl_file2 ${impl_file2}.tmp)
set(impl_file3 ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/op_function3.cc)
set(tmp_impl_file3 ${impl_file3}.tmp)
set(impl_file4 ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/op_function4.cc)
set(tmp_impl_file4 ${impl_file4}.tmp)
set(impl_file5 ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/op_function5.cc)
set(tmp_impl_file5 ${impl_file5}.tmp)
set(impl_file6 ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/op_function6.cc)
set(tmp_impl_file6 ${impl_file6}.tmp)
set(impl_file7 ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/op_function7.cc)
set(tmp_impl_file7 ${impl_file7}.tmp)
set(impl_file8 ${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/op_function8.cc)
set(tmp_impl_file8 ${impl_file8}.tmp)
set(CODE_GEN_SPLIT_FILE_COUNT "8")
set(eager_impl_file
${CMAKE_SOURCE_DIR}/paddle/fluid/pybind/eager_legacy_op_function.cc)
......@@ -346,7 +318,6 @@ if(WITH_PYTHON)
"${PADDLE_SOURCE_DIR}/paddle/fluid/pybind/"
"${CODE_GEN_SPLIT_FILE_COUNT}")
set(OP_IMPL_DEPS op_function_generator)
set(EAGER_OP_IMPL_DEPS eager_legacy_op_function_generator
eager_python_c_codegen)
......@@ -357,25 +328,6 @@ if(WITH_PYTHON)
set(op_impl_path "${CMAKE_CURRENT_BINARY_DIR}/${CMAKE_BUILD_TYPE}")
endif()
file(
WRITE
${CMAKE_BINARY_DIR}/paddle/fluid/pybind/op_function_generator_retry.bat
""
"set build_times=1\n"
":retry\n"
"ECHO op_function_generator run %build_times% time\n"
"taskkill /f /im op_function_generator.exe 2>NUL\n"
"${op_impl_path}/op_function_generator.exe ${op_function_output_path} ${CODE_GEN_SPLIT_FILE_COUNT}\n"
"if %ERRORLEVEL% NEQ 0 (\n"
" set /a build_times=%build_times%+1\n"
" if %build_times% GEQ 10 (\n"
" exit /b 1\n"
" ) else (\n"
" goto :retry\n"
" )\n"
")\n"
"exit /b 0")
file(
WRITE
${CMAKE_BINARY_DIR}/paddle/fluid/pybind/eager_legacy_op_function_generator_retry.bat
......@@ -439,35 +391,6 @@ if(WITH_PYTHON)
${CMAKE_CURRENT_BINARY_DIR}/onnxruntime.dll)
endif()
add_custom_command(
OUTPUT op_function
COMMAND
${CMAKE_BINARY_DIR}/paddle/fluid/pybind/op_function_generator_retry.bat
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file1}
${impl_file1}
COMMENT "copy_if_different ${tmp_impl_file1} to ${impl_file1}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file2}
${impl_file2}
COMMENT "copy_if_different ${tmp_impl_file2} to ${impl_file2}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file3}
${impl_file3}
COMMENT "copy_if_different ${tmp_impl_file3} to ${impl_file3}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file4}
${impl_file4}
COMMENT "copy_if_different ${tmp_impl_file4} to ${impl_file4}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file5}
${impl_file5}
COMMENT "copy_if_different ${tmp_impl_file5} to ${impl_file5}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file6}
${impl_file6}
COMMENT "copy_if_different ${tmp_impl_file6} to ${impl_file6}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file7}
${impl_file7}
COMMENT "copy_if_different ${tmp_impl_file7} to ${impl_file7}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file8}
${impl_file8}
COMMENT "copy_if_different ${tmp_impl_file8} to ${impl_file8}"
DEPENDS ${OP_IMPL_DEPS})
if(NOT ((NOT WITH_PYTHON) AND ON_INFER))
add_custom_command(
OUTPUT ${eager_impl_file}
......@@ -524,38 +447,6 @@ if(WITH_PYTHON)
list(APPEND OP_IMPL_DEPS ${CMAKE_CURRENT_BINARY_DIR}/libdnnl.so.0)
list(APPEND EAGER_OP_IMPL_DEPS ${CMAKE_CURRENT_BINARY_DIR}/libdnnl.so.0)
endif()
add_custom_command(
OUTPUT op_function
COMMAND
${CMAKE_COMMAND} -E env "LD_LIBRARY_PATH=$ENV{LD_LIBRARY_PATH}:."
"${CMAKE_CURRENT_BINARY_DIR}/op_function_generator"
"${op_function_output_path}" "${CODE_GEN_SPLIT_FILE_COUNT}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file1}
${impl_file1}
COMMENT "copy_if_different ${tmp_impl_file1} to ${impl_file1}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file2}
${impl_file2}
COMMENT "copy_if_different ${tmp_impl_file2} to ${impl_file2}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file3}
${impl_file3}
COMMENT "copy_if_different ${tmp_impl_file3} to ${impl_file3}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file4}
${impl_file4}
COMMENT "copy_if_different ${tmp_impl_file4} to ${impl_file4}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file5}
${impl_file5}
COMMENT "copy_if_different ${tmp_impl_file5} to ${impl_file5}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file6}
${impl_file6}
COMMENT "copy_if_different ${tmp_impl_file6} to ${impl_file6}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file7}
${impl_file7}
COMMENT "copy_if_different ${tmp_impl_file7} to ${impl_file7}"
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${tmp_impl_file8}
${impl_file8}
COMMENT "copy_if_different ${tmp_impl_file8} to ${impl_file8}"
DEPENDS ${OP_IMPL_DEPS}
VERBATIM)
if(NOT ((NOT WITH_PYTHON) AND ON_INFER))
add_custom_command(
OUTPUT ${eager_impl_file}
......@@ -570,7 +461,6 @@ if(WITH_PYTHON)
VERBATIM)
endif()
endif()
add_custom_target(op_function_generator_cmd ALL DEPENDS op_function)
if(NOT ((NOT WITH_PYTHON) AND ON_INFER))
add_custom_target(eager_legacy_op_function_generator_cmd ALL
DEPENDS ${eager_impl_file})
......@@ -647,6 +537,5 @@ if(WITH_PYTHON)
get_property(os_dependency_modules GLOBAL PROPERTY OS_DEPENDENCY_MODULES)
target_link_libraries(${SHARD_LIB_NAME} ${os_dependency_modules})
add_dependencies(${SHARD_LIB_NAME} op_function_generator_cmd)
endif()
paddle/fluid/pybind/eager_legacy_op_function_generator.cc
浏览文件 @ 70ea88bf
......@@ -31,7 +31,7 @@
#ifdef PADDLE_WITH_ASCEND_CL
#include "paddle/fluid/framework/fleet/ascend_wrapper.h"
#endif
#include "paddle/fluid/pybind/op_function_generator.h"
#include "paddle/fluid/pybind/eager_generator.h"
// phi
#include "paddle/phi/kernels/declarations.h"
......
paddle/fluid/pybind/generate_file_structures.py
浏览文件 @ 70ea88bf
......@@ -23,11 +23,6 @@ if __name__ == "__main__":
empty_files = [os.path.join(pybind_dir, "eager_legacy_op_function.cc")]
empty_files.append(os.path.join(pybind_dir, "eager_op_function.cc"))
for i in range(split_count):
empty_files.append(
os.path.join(pybind_dir, "op_function" + str(i + 1) + ".cc")
)
for path in empty_files:
if not os.path.exists(path):
open(path, 'a').close()
paddle/fluid/pybind/imperative.cc
浏览文件 @ 70ea88bf
......@@ -53,7 +53,6 @@ limitations under the License. */
#include "paddle/fluid/operators/utils.h"
#include "paddle/fluid/pybind/cuda_streams_py.h"
#include "paddle/fluid/pybind/eager_utils.h"
#include "paddle/fluid/pybind/op_function.h"
#include "paddle/fluid/pybind/pybind_variant_caster.h"
#include "paddle/fluid/pybind/slice_utils.h"
#include "paddle/fluid/pybind/tensor_py.h"
......@@ -498,15 +497,6 @@ static void VarBaseCopy(std::shared_ptr<imperative::VarBase> &src, // NOLINT
void BindImperative(py::module *m_ptr) {
auto &m = *m_ptr;
BindOpFunctions1(&m);
BindOpFunctions2(&m);
BindOpFunctions3(&m);
BindOpFunctions4(&m);
BindOpFunctions5(&m);
BindOpFunctions6(&m);
BindOpFunctions7(&m);
BindOpFunctions8(&m);
#ifndef _WIN32
// Dygraph DataLoader signal handler
m.def("_set_process_pids", [](int64_t key, py::object &obj) {
......
paddle/fluid/pybind/op_function.h 已删除 100644 → 0
浏览文件 @ 192eb4d5
// Copyright (c) 2019 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 <pybind11/chrono.h>
#include <pybind11/complex.h>
#include <pybind11/functional.h>
#include <pybind11/stl.h>
#include <memory>
#include <string>
#include <vector>
#include "paddle/fluid/framework/attribute.h"
#include "paddle/fluid/framework/op_info.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/variable.h"
#include "paddle/fluid/imperative/tracer.h"
#include "paddle/fluid/imperative/type_defs.h"
#include "paddle/fluid/pybind/exception.h"
#include "paddle/fluid/pybind/imperative.h"
#include "paddle/fluid/pybind/op_function_common.h"
namespace py = pybind11;
namespace paddle {
namespace pybind {
static inline std::shared_ptr<imperative::VarBase> CastPyHandleToVarBase(
const std::string& op_type,
const std::string& arg_name,
int arg_idx,
const py::handle& handle,
bool dispensable = false) {
PyObject* py_obj = handle.ptr(); // get underlying PyObject
if (!py_obj || py_obj == Py_None) {
if (!dispensable) {
PADDLE_THROW(platform::errors::InvalidArgument(
"%s(): argument '%s' (position %d) must be Tensor, but got "
"%s",
op_type,
arg_name,
arg_idx,
Py_TYPE(py_obj)->tp_name));
}
return nullptr;
}
try {
return py::cast<std::shared_ptr<imperative::VarBase>>(py::handle(py_obj));
} catch (py::cast_error&) {
PADDLE_THROW(platform::errors::InvalidArgument(
"%s(): argument '%s' (position %d) must be Tensor, but got "
"%s",
op_type,
arg_name,
arg_idx,
Py_TYPE(py_obj)->tp_name));
}
}
static inline std::vector<std::shared_ptr<imperative::VarBase>>
CastPyHandleToVarBaseList(const std::string& op_type,
const std::string& arg_name,
int arg_idx,
const py::handle& handle,
bool dispensable = false) {
PyObject* py_obj = handle.ptr(); // get underlying PyObject
if (!py_obj || py_obj == Py_None) {
if (!dispensable) {
PADDLE_THROW(platform::errors::InvalidArgument(
"%s(): argument '%s' (position %d) must be Tensor, but got "
"%s",
op_type,
arg_name,
arg_idx,
Py_TYPE(py_obj)->tp_name));
}
return {};
}
std::vector<std::shared_ptr<imperative::VarBase>> result;
if (PyList_Check(py_obj) || PyTuple_Check(py_obj)) {
auto size = PyTuple_Check(py_obj) ? PyTuple_GET_SIZE(py_obj)
: PyList_GET_SIZE(py_obj);
for (auto i = 0; i < size; ++i) {
PyObject* item = PyTuple_Check(py_obj) ? PyTuple_GET_ITEM(py_obj, i)
: PyList_GET_ITEM(py_obj, i);
if (!item || item == Py_None) {
result.emplace_back(nullptr);
continue;
}
try {
result.emplace_back(
py::cast<std::shared_ptr<imperative::VarBase>>(py::handle(item)));
} catch (py::cast_error&) {
PADDLE_THROW(platform::errors::InvalidArgument(
"%s(): argument '%s' (position %d) must be list of "
"Tensors, but "
"got %s in list (item %d)",
op_type,
arg_name,
arg_idx,
Py_TYPE(item)->tp_name,
i));
}
}
} else {
PADDLE_THROW(platform::errors::InvalidArgument(
"%s(): argument '%s' (position %d) must be list of Tensors, but got "
"%s",
op_type,
arg_name,
arg_idx,
Py_TYPE(py_obj)->tp_name));
}
return result;
} // namespace pybind
static inline std::vector<std::shared_ptr<imperative::VarBase>>
ConstructDuplicableOutput(const size_t num) {
auto tracer = imperative::GetCurrentTracer();
std::vector<std::shared_ptr<imperative::VarBase>> res;
res.reserve(num);
for (size_t i = 0; i < num; i++) {
auto var_base_name = tracer->GenerateUniqueName();
res.emplace_back(new imperative::VarBase(var_base_name));
}
return res;
}
static inline void HandleViewBetweenInputAndOutput(
const std::shared_ptr<imperative::VarBase>& input_var,
const std::shared_ptr<imperative::VarBase>& view_output_var) {
PADDLE_ENFORCE_EQ(
input_var->Var().IsInitialized(),
true,
platform::errors::InvalidArgument("Tensor %s has not been initialized!",
input_var->Name()));
if (input_var->Var().IsType<phi::DenseTensor>()) {
const auto& input_tensor = input_var->Var().Get<phi::DenseTensor>();
PADDLE_ENFORCE_EQ(
input_tensor.IsInitialized(),
true,
platform::errors::InvalidArgument(
"LoDTensor %s has not been initialized!", input_var->Name()));
auto* view_output_tensor =
view_output_var->MutableVar()->GetMutable<phi::DenseTensor>();
view_output_tensor->ShareBufferWith(input_tensor);
view_output_tensor->ShareInplaceVersionCounterWith(input_tensor);
VLOG(3) << "Perform View between Output Var(" << view_output_var->Name()
<< ") and Input Var(" << input_var->Name()
<< "), share allocation and inplace version.";
}
}
static inline PyObject* MakeReturnPyObject(
const std::shared_ptr<paddle::imperative::VarBase>& out) {
return ::pybind11::detail::type_caster_base<imperative::VarBase>::cast_holder(
::pybind11::detail::holder_helper<
std::shared_ptr<imperative::VarBase>>::get(out),
&out)
.ptr();
}
static inline PyObject* MakeReturnPyObject(
const std::vector<std::shared_ptr<imperative::VarBase>>& out) {
PyObject* result = PyList_New((Py_ssize_t)out.size());
for (size_t i = 0; i < out.size(); i++) {
PyList_SET_ITEM(
result,
(Py_ssize_t)i,
::pybind11::detail::type_caster_base<imperative::VarBase>::cast_holder(
::pybind11::detail::holder_helper<
std::shared_ptr<imperative::VarBase>>::get(out[i]),
&out[i])
.ptr()); // NOLINT
}
return result;
}
template <typename Tuple, size_t N>
struct TupleVarBasesResult {
static void Run(const Tuple& out, PyObject* result) {
TupleVarBasesResult<Tuple, N - 1>::Run(out, result);
PyTuple_SET_ITEM(result, N - 1, MakeReturnPyObject(std::get<N - 1>(out)));
}
};
template <typename Tuple>
struct TupleVarBasesResult<Tuple, 1> {
static void Run(const Tuple& out, PyObject* result) {
PyTuple_SET_ITEM(result, 0, MakeReturnPyObject(std::get<0>(out)));
}
};
template <typename... Args>
PyObject* MakeReturnPyObject(const std::tuple<Args...>& out) {
auto len = sizeof...(Args);
PyObject* result = PyTuple_New(len);
TupleVarBasesResult<decltype(out), sizeof...(Args)>::Run(out, result);
return result;
}
void BindOpFunctions1(pybind11::module* module);
void BindOpFunctions2(pybind11::module* module);
void BindOpFunctions3(pybind11::module* module);
void BindOpFunctions4(pybind11::module* module);
void BindOpFunctions5(pybind11::module* module);
void BindOpFunctions6(pybind11::module* module);
void BindOpFunctions7(pybind11::module* module);
void BindOpFunctions8(pybind11::module* module);
} // namespace pybind
} // namespace paddle
paddle/fluid/pybind/op_function_generator.cc 已删除 100644 → 0
浏览文件 @ 192eb4d5
此差异已折叠。
paddle/scripts/paddle_build.bat
浏览文件 @ 70ea88bf
......@@ -41,10 +41,8 @@ taskkill /f /im python.exe /t 2>NUL
taskkill /f /im nvcc.exe /t 2>NUL
taskkill /f /im cicc.exe /t 2>NUL
taskkill /f /im ptxas.exe /t 2>NUL
taskkill /f /im op_function_generator.exe /t 2>NUL
taskkill /f /im eager_generator.exe /t 2>NUL
taskkill /f /im eager_legacy_op_function_generator.exe /t 2>NUL
wmic process where name="op_function_generator.exe" call terminate 2>NUL
wmic process where name="eager_generator.exe" call terminate 2>NUL
wmic process where name="eager_legacy_op_function_generator.exe" call terminate 2>NUL
wmic process where name="cvtres.exe" call terminate 2>NUL
......@@ -533,10 +531,8 @@ taskkill /f /im csc.exe /t 2>NUL
taskkill /f /im nvcc.exe /t 2>NUL
taskkill /f /im cicc.exe /t 2>NUL
taskkill /f /im ptxas.exe /t 2>NUL
taskkill /f /im op_function_generator.exe /t 2>NUL
taskkill /f /im eager_generator.exe /t 2>NUL
taskkill /f /im eager_legacy_op_function_generator.exe /t 2>NUL
wmic process where name="op_function_generator.exe" call terminate 2>NUL
wmic process where name="eager_generator.exe" call terminate 2>NUL
wmic process where name="eager_legacy_op_function_generator.exe" call terminate 2>NUL
wmic process where name="cmake.exe" call terminate 2>NUL
......@@ -936,10 +932,8 @@ taskkill /f /im python.exe /t 2>NUL
taskkill /f /im nvcc.exe /t 2>NUL
taskkill /f /im cicc.exe /t 2>NUL
taskkill /f /im ptxas.exe /t 2>NUL
taskkill /f /im op_function_generator.exe /t 2>NUL
taskkill /f /im eager_generator.exe /t 2>NUL
taskkill /f /im eager_legacy_op_function_generator.exe /t 2>NUL
wmic process where name="op_function_generator.exe" call terminate 2>NUL
wmic process where name="eager_generator.exe" call terminate 2>NUL
wmic process where name="eager_legacy_op_function_generator.exe" call terminate 2>NUL
wmic process where name="cvtres.exe" call terminate 2>NUL
......
python/paddle/_legacy_C_ops.py
浏览文件 @ 70ea88bf
......@@ -12,45 +12,11 @@
# See the License for the specific language governing permissions and
# limitations under the License.
from paddle.fluid import core
from .fluid import framework
from paddle.fluid import core
__all__ = []
_already_switch_to_eager_ = False
if not framework._in_eager_mode_:
for name in dir(core.ops):
globals()[name] = getattr(core.ops, name)
__all__.append(name)
_already_switch_to_eager_ = False
else:
for name in dir(core.eager.ops.legacy):
globals()[name] = getattr(core.eager.ops.legacy, name)
__all__.append(name)
_already_switch_to_eager_ = True
def switch_to_core_ops():
global _already_switch_to_eager_
if _already_switch_to_eager_:
for name in dir(core.eager.ops.legacy):
del globals()[name]
__all__.remove(name)
for name in dir(core.ops):
globals()[name] = getattr(core.ops, name)
__all__.append(name)
_already_switch_to_eager_ = False
def switch_to_eager_ops():
global _already_switch_to_eager_
if not _already_switch_to_eager_:
for name in dir(core.ops):
del globals()[name]
__all__.remove(name)
for name in dir(core.eager.ops.legacy):
globals()[name] = getattr(core.eager.ops.legacy, name)
__all__.append(name)
_already_switch_to_eager_ = True
for name in dir(core.eager.ops.legacy):
globals()[name] = getattr(core.eager.ops.legacy, name)
__all__.append(name)
python/paddle/distributed/fleet/layers/mpu/mp_layers.py
浏览文件 @ 70ea88bf
......@@ -29,10 +29,7 @@ __all__ = []
def is_fused_matmul_bias_supported():
if paddle.is_compiled_with_cuda() and not paddle.is_compiled_with_rocm():
return hasattr(core.ops, 'fused_gemm_epilogue')
else:
return False
return hasattr(core.eager.ops.legacy, 'fused_gemm_epilogue')
class VocabParallelEmbedding(Layer):
......
python/paddle/fluid/framework.py
浏览文件 @ 70ea88bf
......@@ -124,7 +124,6 @@ def _update_monkey_methods(is_eager):
assert isinstance(is_eager, bool)
# switch into eager mode
if is_eager:
_legacy_C_ops.switch_to_eager_ops()
if not _already_patch_eager_tensor:
monkey_patch_varbase()
monkey_patch_math_varbase()
......@@ -132,7 +131,6 @@ def _update_monkey_methods(is_eager):
_already_patch_eager_tensor = True
# switch back into legacy mode
else:
_legacy_C_ops.switch_to_core_ops()
if not _already_patch_varbase:
monkey_patch_varbase()
monkey_patch_math_varbase()
......
python/paddle/fluid/tests/unittests/ir/inference/test_trt_multiclass_nms3_op.py
浏览文件 @ 70ea88bf
......@@ -148,7 +148,7 @@ def multiclass_nms(
'normalized',
normalized,
)
output, index, nms_rois_num = core.ops.multiclass_nms3(
output, index, nms_rois_num = core.eager.ops.legacy.multiclass_nms3(
bboxes, scores, rois_num, *attrs
)
if not return_index:
......
python/paddle/fluid/tests/unittests/test_fused_matmul_bias.py
浏览文件 @ 70ea88bf
......@@ -17,16 +17,13 @@ import unittest
import numpy as np
import paddle
import paddle.fluid.core as core
from paddle.fluid import core
from paddle.incubate.nn import FusedLinear
from paddle.incubate.nn.functional import fused_linear, fused_matmul_bias
def is_fused_matmul_bias_supported():
if paddle.is_compiled_with_cuda() and not paddle.is_compiled_with_rocm():
return hasattr(core.ops, 'fused_gemm_epilogue')
else:
return False
return hasattr(core.eager.ops.legacy, 'fused_gemm_epilogue')
def matmul(x, y, bias, trans_x, trans_y):
......
tools/check_file_diff_approvals.sh
浏览文件 @ 70ea88bf
......@@ -44,7 +44,6 @@ API_FILES=("CMakeLists.txt"
"python/paddle/fluid/backward.py"
"paddle/fluid/operators/distributed/send_recv.proto.in"
"paddle/fluid/framework/unused_var_check.cc"
"paddle/fluid/pybind/op_function_generator.cc"
"python/paddle/fluid/tests/unittests/white_list/check_shape_white_list.py"
"python/paddle/fluid/tests/unittests/white_list/op_accuracy_white_list.py"
"python/paddle/fluid/tests/unittests/white_list/compile_vs_runtime_white_list.py"
......@@ -143,9 +142,6 @@ for API_FILE in ${API_FILES[*]}; do
elif [ "${API_FILE}" == "paddle/fluid/framework/unused_var_check.cc" ];then
echo_line="You must have one RD (zhiqiu (Recommend) or chenwhql) approval for the changes of paddle/fluid/framework/unused_var_check.cc, which manages the allow list of operators that have unused input variables. Before change the allow list, please read the specification [https://github.com/PaddlePaddle/Paddle/wiki/OP-Should-Not-Have-Unused-Input] and try to refine code first. \n"
check_approval 1 6888866 22561442
elif [ "${API_FILE}" == "paddle/fluid/pybind/op_function_generator.cc" ];then
echo_line="You must have one RD (zhiqiu (Recommend) , phlrain) approval for the changes of paddle/fluid/pybind/op_function_generator.cc, which manages the logic of automatic generating op functions for dygraph. \n"
check_approval 1 6888866 43953930
elif [ "${API_FILE}" == "python/paddle/fluid/tests/unittests/white_list/check_shape_white_list.py" ];then
echo_line="It is an Op accuracy problem, please take care of it. You must have one RD (hong19860320 (Recommend), luotao1, phlrain) approval for the changes of check_shape_white_list.py, which manages the white list of operators with limited input size. Inputs size of all cases in the op test must be greater than or equal to 100. For more information, please refer to: https://github.com/PaddlePaddle/Paddle/wiki/OP-Test-Input-Shape-Requirements. \n"
check_approval 1 9973393 6836917 43953930
......
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