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PaddleDetection
未验证 提交 1543c4cf 编写于 作者: Y Yi Wang 提交者： GitHub
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Fix cpplint errors of paddle/fluid/pybind and add some tests (#9694) 

* cpplint test and add tesnor_py_test.cc

* Update

* Update
上级 6ba26257
隐藏空白更改
内联 并排
Showing with 291 addition and 218 deletion
paddle/fluid/pybind/CMakeLists.txt
浏览文件 @ 1543c4cf
......@@ -15,4 +15,6 @@ if(WITH_PYTHON)
target_link_libraries(paddle_pybind rt)
endif(NOT APPLE AND NOT ANDROID)
endif(WITH_AMD_GPU)
cc_test(tensor_py_test SRCS tensor_py_test.cc DEPS python)
endif(WITH_PYTHON)
paddle/fluid/pybind/const_value.cc
浏览文件 @ 1543c4cf
......@@ -12,17 +12,17 @@ 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 "const_value.h"
#include "paddle/fluid/pybind/const_value.h"
#include "paddle/fluid/framework/operator.h"
namespace paddle {
namespace pybind {
void BindConstValue(pybind11::module& m) {
m.def("kEmptyVarName", [] { return framework::kEmptyVarName; });
m.def("kTempVarName", [] { return framework::kTempVarName; });
m.def("kGradVarSuffix", [] { return framework::kGradVarSuffix; });
m.def("kZeroVarSuffix", [] { return framework::kZeroVarSuffix; });
void BindConstValue(pybind11::module* m) {
m->def("kEmptyVarName", [] { return framework::kEmptyVarName; });
m->def("kTempVarName", [] { return framework::kTempVarName; });
m->def("kGradVarSuffix", [] { return framework::kGradVarSuffix; });
m->def("kZeroVarSuffix", [] { return framework::kZeroVarSuffix; });
}
} // namespace pybind
......
paddle/fluid/pybind/const_value.h
浏览文件 @ 1543c4cf
......@@ -11,16 +11,17 @@ 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 <Python.h>
#include "paddle/fluid/platform/enforce.h"
#include "pybind11/pybind11.h"
namespace py = pybind11;
namespace paddle {
namespace pybind {
extern void BindConstValue(pybind11::module& m);
void BindConstValue(pybind11::module* m);
} // namespace pybind
} // namespace paddle
paddle/fluid/pybind/exception.cc
浏览文件 @ 1543c4cf
......@@ -17,8 +17,8 @@ limitations under the License. */
namespace paddle {
namespace pybind {
void BindException(pybind11::module& m) {
static pybind11::exception<platform::EnforceNotMet> exc(m, "EnforceNotMet");
void BindException(pybind11::module* m) {
static pybind11::exception<platform::EnforceNotMet> exc(*m, "EnforceNotMet");
pybind11::register_exception_translator([](std::exception_ptr p) {
try {
if (p) std::rethrow_exception(p);
......@@ -27,7 +27,8 @@ void BindException(pybind11::module& m) {
}
});
m.def("__unittest_throw_exception__", [] { PADDLE_THROW("test exception"); });
m->def("__unittest_throw_exception__",
[] { PADDLE_THROW("test exception"); });
}
} // namespace pybind
......
paddle/fluid/pybind/exception.h
浏览文件 @ 1543c4cf
......@@ -11,14 +11,17 @@ 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 <Python.h>
#include "paddle/fluid/platform/enforce.h"
#include "pybind11/pybind11.h"
namespace paddle {
namespace pybind {
extern void BindException(pybind11::module& m);
void BindException(pybind11::module* m);
} // namespace pybind
} // namespace paddle
paddle/fluid/pybind/protobuf.cc
浏览文件 @ 1543c4cf
......@@ -11,12 +11,13 @@ 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 "paddle/fluid/pybind/protobuf.h"
#include <deque>
#include <iostream>
#include <string>
#include <tuple>
#include "paddle/fluid/framework/backward.h"
#include "paddle/fluid/framework/block_desc.h"
#include "paddle/fluid/framework/op_desc.h"
......@@ -97,10 +98,11 @@ struct type_caster<boost::variant<Args...>>
namespace paddle {
namespace pybind {
using namespace paddle::framework; // NOLINT
namespace pd = paddle::framework;
template <typename T>
static py::bytes SerializeMessage(T &self) { // NOLINT
static pybind11::bytes SerializeMessage(
T &self) { // NOLINT due to pybind11 convention.
// Check IsInitialized in Python
std::string retv;
PADDLE_ENFORCE(self.Proto()->SerializePartialToString(&retv),
......@@ -109,24 +111,24 @@ static py::bytes SerializeMessage(T &self) { // NOLINT
}
// Bind Methods
void BindProgramDesc(py::module &m) { // NOLINT
py::class_<ProgramDesc>(m, "ProgramDesc", "")
.def(py::init<>())
void BindProgramDesc(pybind11::module *m) {
pybind11::class_<pd::ProgramDesc>(*m, "ProgramDesc", "")
.def(pybind11::init<>())
.def("__init__",
[](ProgramDesc &self, const ProgramDesc &other) {
new (&self) ProgramDesc(other);
[](pd::ProgramDesc &self, const pd::ProgramDesc &other) {
new (&self) pd::ProgramDesc(other);
})
.def("__init__",
[](ProgramDesc &self, const py::bytes &binary_str) {
[](pd::ProgramDesc &self, const pybind11::bytes &binary_str) {
std::string str(binary_str);
new (&self) ProgramDesc(str);
new (&self) pd::ProgramDesc(str);
})
.def("append_block", &ProgramDesc::AppendBlock,
py::return_value_policy::reference)
.def("append_block", &pd::ProgramDesc::AppendBlock,
pybind11::return_value_policy::reference)
.def("append_backward",
[](ProgramDesc &program_desc, const VarDesc &target,
[](pd::ProgramDesc &program_desc, const pd::VarDesc &target,
const std::unordered_set<std::string> &no_grad_vars) {
ParamGradInfoMap param_grad_map =
pd::ParamGradInfoMap param_grad_map =
AppendBackward(program_desc, target, no_grad_vars);
std::unordered_map<
std::string, std::tuple<std::string /* grad_var_name */,
......@@ -140,178 +142,184 @@ void BindProgramDesc(py::module &m) { // NOLINT
}
return retv;
})
.def("block", &ProgramDesc::MutableBlock,
py::return_value_policy::reference)
.def("num_blocks", &ProgramDesc::Size)
.def("serialize_to_string", SerializeMessage<ProgramDesc>)
.def("block", &pd::ProgramDesc::MutableBlock,
pybind11::return_value_policy::reference)
.def("num_blocks", &pd::ProgramDesc::Size)
.def("serialize_to_string", SerializeMessage<pd::ProgramDesc>)
.def("parse_from_string",
[](ProgramDesc &program_desc, const std::string &data) {
proto::ProgramDesc *desc = program_desc.Proto();
[](pd::ProgramDesc &program_desc, const std::string &data) {
pd::proto::ProgramDesc *desc = program_desc.Proto();
PADDLE_ENFORCE(desc->ParseFromString(data),
"Fail to parse ProgramDesc from string. This could "
"be a bug of Paddle.");
});
}
void BindBlockDesc(py::module &m) { // NOLINT
py::class_<BlockDesc>(m, "BlockDesc", "")
.def_property_readonly("id", &BlockDesc::ID)
.def_property_readonly("parent", &BlockDesc::Parent)
.def("get_forward_block_idx", &BlockDesc::ForwardBlockID)
.def("set_forward_block_idx", &BlockDesc::SetForwardBlockID)
.def("append_op", &BlockDesc::AppendOp,
py::return_value_policy::reference)
.def("prepend_op", &BlockDesc::PrependOp,
py::return_value_policy::reference)
.def("insert_op", &BlockDesc::InsertOp,
py::return_value_policy::reference)
.def("remove_op", &BlockDesc::RemoveOp)
void BindBlockDesc(pybind11::module *m) {
pybind11::class_<pd::BlockDesc>(*m, "BlockDesc", "")
.def_property_readonly("id", &pd::BlockDesc::ID)
.def_property_readonly("parent", &pd::BlockDesc::Parent)
.def("get_forward_block_idx", &pd::BlockDesc::ForwardBlockID)
.def("set_forward_block_idx", &pd::BlockDesc::SetForwardBlockID)
.def("append_op", &pd::BlockDesc::AppendOp,
pybind11::return_value_policy::reference)
.def("prepend_op", &pd::BlockDesc::PrependOp,
pybind11::return_value_policy::reference)
.def("insert_op", &pd::BlockDesc::InsertOp,
pybind11::return_value_policy::reference)
.def("remove_op", &pd::BlockDesc::RemoveOp)
.def("var",
[](BlockDesc &self, py::bytes byte_name) {
[](pd::BlockDesc &self, pybind11::bytes byte_name) {
std::string name = byte_name;
return self.Var(name);
},
py::return_value_policy::reference)
pybind11::return_value_policy::reference)
.def("has_var",
[](BlockDesc &self, py::bytes byte_name) {
[](pd::BlockDesc &self, pybind11::bytes byte_name) {
std::string name = byte_name;
return self.HasVar(name);
},
py::return_value_policy::reference)
pybind11::return_value_policy::reference)
.def("rename_var",
[](BlockDesc &self, const py::bytes &byte_name,
const py::bytes &byte_name_new) {
[](pd::BlockDesc &self, const pybind11::bytes &byte_name,
const pybind11::bytes &byte_name_new) {
std::string name = byte_name;
std::string new_name = byte_name_new;
self.RenameVar(name, new_name);
})
.def("has_var_recursive",
[](BlockDesc &self, py::bytes byte_name) {
[](pd::BlockDesc &self, pybind11::bytes byte_name) {
std::string name = byte_name;
return self.HasVarRecursive(name);
})
.def("find_var",
[](BlockDesc &self, py::bytes byte_name) {
[](pd::BlockDesc &self, pybind11::bytes byte_name) {
std::string name = byte_name;
return self.FindVar(name);
},
py::return_value_policy::reference)
pybind11::return_value_policy::reference)
.def("find_var_recursive",
[](BlockDesc &self, py::bytes byte_name) {
[](pd::BlockDesc &self, pybind11::bytes byte_name) {
std::string name = byte_name;
return self.FindVarRecursive(name);
},
py::return_value_policy::reference)
pybind11::return_value_policy::reference)
.def("remove_var",
[](BlockDesc &self, py::bytes byte_name) {
[](pd::BlockDesc &self, pybind11::bytes byte_name) {
std::string name = byte_name;
return self.RemoveVar(name);
},
py::return_value_policy::reference)
.def("all_vars", &BlockDesc::AllVars, py::return_value_policy::reference)
.def("op_size", &BlockDesc::OpSize)
.def("op", &BlockDesc::Op, py::return_value_policy::reference)
.def("serialize_to_string", SerializeMessage<BlockDesc>);
pybind11::return_value_policy::reference)
.def("all_vars", &pd::BlockDesc::AllVars,
pybind11::return_value_policy::reference)
.def("op_size", &pd::BlockDesc::OpSize)
.def("op", &pd::BlockDesc::Op, pybind11::return_value_policy::reference)
.def("serialize_to_string", SerializeMessage<pd::BlockDesc>);
}
void BindVarDsec(py::module &m) { // NOLINT
py::class_<VarDesc> var_desc(m, "VarDesc", "");
void BindVarDsec(pybind11::module *m) {
pybind11::class_<pd::VarDesc> var_desc(*m, "VarDesc", "");
var_desc
.def("name",
[](VarDesc &self) {
py::bytes name = self.Name();
[](pd::VarDesc &self) {
pybind11::bytes name = self.Name();
return name;
},
py::return_value_policy::reference)
.def("set_name", &VarDesc::SetName)
.def("set_shape", &VarDesc::SetShape)
.def("set_shapes", &VarDesc::SetShapes)
.def("set_dtype", &VarDesc::SetDataType)
.def("set_dtypes", &VarDesc::SetDataTypes)
.def("set_capacity", &VarDesc::SetCapacity)
.def("shape", &VarDesc::GetShape, py::return_value_policy::reference)
.def("shapes", &VarDesc::GetShapes, py::return_value_policy::reference)
.def("dtype", &VarDesc::GetDataType, py::return_value_policy::reference)
.def("dtypes", &VarDesc::GetDataTypes, py::return_value_policy::reference)
.def("lod_level", &VarDesc::GetLoDLevel)
.def("lod_levels", &VarDesc::GetLoDLevels,
py::return_value_policy::reference)
.def("set_lod_level", &VarDesc::SetLoDLevel)
.def("set_lod_levels", &VarDesc::SetLoDLevels)
.def("type", &VarDesc::GetType)
.def("set_type", &VarDesc::SetType)
.def("serialize_to_string", SerializeMessage<VarDesc>)
.def("persistable", &VarDesc::Persistable)
.def("set_persistable", &VarDesc::SetPersistable);
pybind11::return_value_policy::reference)
.def("set_name", &pd::VarDesc::SetName)
.def("set_shape", &pd::VarDesc::SetShape)
.def("set_shapes", &pd::VarDesc::SetShapes)
.def("set_dtype", &pd::VarDesc::SetDataType)
.def("set_dtypes", &pd::VarDesc::SetDataTypes)
.def("set_capacity", &pd::VarDesc::SetCapacity)
.def("shape", &pd::VarDesc::GetShape,
pybind11::return_value_policy::reference)
.def("shapes", &pd::VarDesc::GetShapes,
pybind11::return_value_policy::reference)
.def("dtype", &pd::VarDesc::GetDataType,
pybind11::return_value_policy::reference)
.def("dtypes", &pd::VarDesc::GetDataTypes,
pybind11::return_value_policy::reference)
.def("lod_level", &pd::VarDesc::GetLoDLevel)
.def("lod_levels", &pd::VarDesc::GetLoDLevels,
pybind11::return_value_policy::reference)
.def("set_lod_level", &pd::VarDesc::SetLoDLevel)
.def("set_lod_levels", &pd::VarDesc::SetLoDLevels)
.def("type", &pd::VarDesc::GetType)
.def("set_type", &pd::VarDesc::SetType)
.def("serialize_to_string", SerializeMessage<pd::VarDesc>)
.def("persistable", &pd::VarDesc::Persistable)
.def("set_persistable", &pd::VarDesc::SetPersistable);
py::enum_<proto::VarType::Type>(var_desc, "VarType", "")
.value("BOOL", proto::VarType::BOOL)
.value("INT16", proto::VarType::INT16)
.value("INT32", proto::VarType::INT32)
.value("INT64", proto::VarType::INT64)
.value("FP16", proto::VarType::FP16)
.value("FP32", proto::VarType::FP32)
.value("FP64", proto::VarType::FP64)
.value("LOD_TENSOR", proto::VarType::LOD_TENSOR)
.value("SELECTED_ROWS", proto::VarType::SELECTED_ROWS)
.value("FEED_MINIBATCH", proto::VarType::FEED_MINIBATCH)
.value("FETCH_LIST", proto::VarType::FETCH_LIST)
.value("STEP_SCOPES", proto::VarType::STEP_SCOPES)
.value("LOD_RANK_TABLE", proto::VarType::LOD_RANK_TABLE)
.value("LOD_TENSOR_ARRAY", proto::VarType::LOD_TENSOR_ARRAY)
.value("CHANNEL", proto::VarType::CHANNEL)
.value("PLACE_LIST", proto::VarType::PLACE_LIST)
.value("READER", proto::VarType::READER)
.value("RAW", proto::VarType::RAW);
pybind11::enum_<pd::proto::VarType::Type>(var_desc, "VarType", "")
.value("BOOL", pd::proto::VarType::BOOL)
.value("INT16", pd::proto::VarType::INT16)
.value("INT32", pd::proto::VarType::INT32)
.value("INT64", pd::proto::VarType::INT64)
.value("FP16", pd::proto::VarType::FP16)
.value("FP32", pd::proto::VarType::FP32)
.value("FP64", pd::proto::VarType::FP64)
.value("LOD_TENSOR", pd::proto::VarType::LOD_TENSOR)
.value("SELECTED_ROWS", pd::proto::VarType::SELECTED_ROWS)
.value("FEED_MINIBATCH", pd::proto::VarType::FEED_MINIBATCH)
.value("FETCH_LIST", pd::proto::VarType::FETCH_LIST)
.value("STEP_SCOPES", pd::proto::VarType::STEP_SCOPES)
.value("LOD_RANK_TABLE", pd::proto::VarType::LOD_RANK_TABLE)
.value("LOD_TENSOR_ARRAY", pd::proto::VarType::LOD_TENSOR_ARRAY)
.value("CHANNEL", pd::proto::VarType::CHANNEL)
.value("PLACE_LIST", pd::proto::VarType::PLACE_LIST)
.value("READER", pd::proto::VarType::READER)
.value("RAW", pd::proto::VarType::RAW);
}
void BindOpDesc(py::module &m) { // NOLINT
py::enum_<proto::AttrType>(m, "AttrType", "")
.value("INT", proto::AttrType::INT)
.value("INTS", proto::AttrType::INTS)
.value("FLOAT", proto::AttrType::FLOAT)
.value("FLOATS", proto::AttrType::FLOATS)
.value("STRING", proto::AttrType::STRING)
.value("STRINGS", proto::AttrType::STRINGS)
.value("BOOL", proto::AttrType::BOOLEAN)
.value("BOOLS", proto::AttrType::BOOLEANS)
.value("BLOCK", proto::AttrType::BLOCK);
void BindOpDesc(pybind11::module *m) {
pybind11::enum_<pd::proto::AttrType>(*m, "AttrType", "")
.value("INT", pd::proto::AttrType::INT)
.value("INTS", pd::proto::AttrType::INTS)
.value("FLOAT", pd::proto::AttrType::FLOAT)
.value("FLOATS", pd::proto::AttrType::FLOATS)
.value("STRING", pd::proto::AttrType::STRING)
.value("STRINGS", pd::proto::AttrType::STRINGS)
.value("BOOL", pd::proto::AttrType::BOOLEAN)
.value("BOOLS", pd::proto::AttrType::BOOLEANS)
.value("BLOCK", pd::proto::AttrType::BLOCK);
py::class_<OpDesc> op_desc(m, "OpDesc", "");
pybind11::class_<pd::OpDesc> op_desc(*m, "OpDesc", "");
op_desc
.def("__init__", [](OpDesc &self) { new (&self) OpDesc(); },
py::return_value_policy::reference)
.def("copy_from", &OpDesc::CopyFrom)
.def("type", &OpDesc::Type)
.def("set_type", &OpDesc::SetType)
.def("input", &OpDesc::Input)
.def("input_names", &OpDesc::InputNames)
.def("output", &OpDesc::Output)
.def("output_names", &OpDesc::OutputNames)
.def("set_input", &OpDesc::SetInput)
.def("set_output", &OpDesc::SetOutput)
.def("input_arg_names", &OpDesc::InputArgumentNames)
.def("output_arg_names", &OpDesc::OutputArgumentNames)
.def("rename_input", &OpDesc::RenameInput)
.def("rename_output", &OpDesc::RenameOutput)
.def("has_attr", &OpDesc::HasAttr)
.def("attr_type", &OpDesc::GetAttrType)
.def("attr_names", &OpDesc::AttrNames)
.def("set_attr", &OpDesc::SetAttr)
.def("attr", &OpDesc::GetAttr)
.def("set_block_attr", &OpDesc::SetBlockAttr)
.def("__init__", [](pd::OpDesc &self) { new (&self) pd::OpDesc(); },
pybind11::return_value_policy::reference)
.def("copy_from", &pd::OpDesc::CopyFrom)
.def("type", &pd::OpDesc::Type)
.def("set_type", &pd::OpDesc::SetType)
.def("input", &pd::OpDesc::Input)
.def("input_names", &pd::OpDesc::InputNames)
.def("output", &pd::OpDesc::Output)
.def("output_names", &pd::OpDesc::OutputNames)
.def("set_input", &pd::OpDesc::SetInput)
.def("set_output", &pd::OpDesc::SetOutput)
.def("input_arg_names", &pd::OpDesc::InputArgumentNames)
.def("output_arg_names", &pd::OpDesc::OutputArgumentNames)
.def("rename_input", &pd::OpDesc::RenameInput)
.def("rename_output", &pd::OpDesc::RenameOutput)
.def("has_attr", &pd::OpDesc::HasAttr)
.def("attr_type", &pd::OpDesc::GetAttrType)
.def("attr_names", &pd::OpDesc::AttrNames)
.def("set_attr", &pd::OpDesc::SetAttr)
.def("attr", &pd::OpDesc::GetAttr)
.def("set_block_attr", &pd::OpDesc::SetBlockAttr)
.def("set_serialized_attr",
[](OpDesc &self, const std::string &name,
const py::bytes &seriralized) {
[](pd::OpDesc &self, const std::string &name,
const pybind11::bytes &seriralized) {
std::string ser(seriralized);
self.SetAttr(name, ser);
})
.def("block_attr", &OpDesc::GetBlockAttr)
.def("check_attrs", &OpDesc::CheckAttrs)
.def("infer_shape", &OpDesc::InferShape)
.def("infer_var_type", &OpDesc::InferVarType)
.def("serialize_to_string", SerializeMessage<OpDesc>)
.def("block", &OpDesc::Block, py::return_value_policy::reference);
.def("block_attr", &pd::OpDesc::GetBlockAttr)
.def("check_attrs", &pd::OpDesc::CheckAttrs)
.def("infer_shape", &pd::OpDesc::InferShape)
.def("infer_var_type", &pd::OpDesc::InferVarType)
.def("serialize_to_string", SerializeMessage<pd::OpDesc>)
.def("block", &pd::OpDesc::Block,
pybind11::return_value_policy::reference);
}
} // namespace pybind
......
paddle/fluid/pybind/protobuf.h
浏览文件 @ 1543c4cf
......@@ -11,25 +11,25 @@ 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 <Python.h>
#include <fstream>
#include <vector>
#include "paddle/fluid/platform/variant.h"
#include "pybind11/numpy.h"
#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
namespace py = pybind11;
namespace paddle {
namespace pybind {
void BindProgramDesc(py::module& m);
void BindBlockDesc(py::module& m);
void BindVarDsec(py::module& m);
void BindOpDesc(py::module& m);
void BindProgramDesc(pybind11::module* m);
void BindBlockDesc(pybind11::module* m);
void BindVarDsec(pybind11::module* m);
void BindOpDesc(pybind11::module* m);
} // namespace pybind
} // namespace paddle
paddle/fluid/pybind/pybind.cc
浏览文件 @ 1543c4cf
......@@ -74,7 +74,7 @@ PYBIND11_PLUGIN(core) {
// not cause namespace pollution.
using namespace paddle::framework; // NOLINT
BindException(m);
BindException(&m);
py::class_<Tensor>(m, "Tensor", py::buffer_protocol())
.def_buffer(
......@@ -478,11 +478,11 @@ All parameter, weight, gradient are variables in Paddle.
m.def("set_feed_variable", framework::SetFeedVariable);
m.def("get_fetch_variable", framework::GetFetchVariable);
BindProgramDesc(m);
BindBlockDesc(m);
BindVarDsec(m);
BindOpDesc(m);
BindConstValue(m);
BindProgramDesc(&m);
BindBlockDesc(&m);
BindVarDsec(&m);
BindOpDesc(&m);
BindConstValue(&m);
py::class_<framework::LoDRankTable>(m, "LodRankTable")
.def("items", [](framework::LoDRankTable &table) {
......@@ -553,7 +553,7 @@ All parameter, weight, gradient are variables in Paddle.
})
.def("run", &ParallelExecutor::Run);
BindRecordIOWriter(m);
BindRecordIOWriter(&m);
return m.ptr();
}
} // namespace pybind
......
paddle/fluid/pybind/recordio.cc
浏览文件 @ 1543c4cf
......@@ -13,13 +13,19 @@
// limitations under the License.
#include "paddle/fluid/pybind/recordio.h"
#include <fstream>
#include <string>
#include <vector>
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/recordio/writer.h"
namespace paddle {
namespace pybind {
namespace {
class RecordIOWriter {
public:
RecordIOWriter(const std::string& filename, recordio::Compressor compressor,
......@@ -49,8 +55,10 @@ class RecordIOWriter {
recordio::Writer writer_;
};
void BindRecordIOWriter(py::module& m) {
py::class_<RecordIOWriter> writer(m, "RecordIOWriter", "");
} // namespace
void BindRecordIOWriter(py::module* m) {
py::class_<RecordIOWriter> writer(*m, "RecordIOWriter", "");
py::enum_<recordio::Compressor>(writer, "Compressor", "")
.value("Snappy", recordio::Compressor::kSnappy)
.value("NoCompress", recordio::Compressor::kNoCompress);
......
paddle/fluid/pybind/recordio.h
浏览文件 @ 1543c4cf
......@@ -21,6 +21,7 @@ namespace py = pybind11;
namespace paddle {
namespace pybind {
extern void BindRecordIOWriter(py::module& m);
void BindRecordIOWriter(py::module* m);
} // namespace pybind
} // namespace paddle
paddle/fluid/pybind/tensor_py.h
浏览文件 @ 1543c4cf
......@@ -23,12 +23,8 @@ limitations under the License. */
#include "pybind11/numpy.h"
#include "pybind11/pybind11.h"
namespace py = pybind11;
namespace paddle {
namespace pybind {
namespace details {
template <bool less, size_t I, typename... ARGS>
......@@ -36,16 +32,16 @@ struct CastToPyBufferImpl;
template <size_t I, typename... ARGS>
struct CastToPyBufferImpl<false, I, ARGS...> {
py::buffer_info operator()(framework::Tensor &tensor) {
pybind11::buffer_info operator()(const framework::Tensor &tensor) {
PADDLE_THROW("This type of tensor cannot be expose to Python");
return py::buffer_info();
return pybind11::buffer_info();
}
};
template <size_t I, typename... ARGS>
struct CastToPyBufferImpl<true, I, ARGS...> {
using CUR_TYPE = typename std::tuple_element<I, std::tuple<ARGS...>>::type;
py::buffer_info operator()(framework::Tensor &tensor) {
pybind11::buffer_info operator()(const framework::Tensor &tensor) {
if (std::type_index(typeid(CUR_TYPE)) == tensor.type()) {
auto dim_vec = framework::vectorize(tensor.dims());
std::vector<size_t> dims_outside;
......@@ -84,15 +80,15 @@ struct CastToPyBufferImpl<true, I, ARGS...> {
if (std::type_index(typeid(CUR_TYPE)) ==
std::type_index(typeid(platform::float16))) {
return py::buffer_info(dst_tensor.data<CUR_TYPE>(), sizeof(CUR_TYPE),
"e", /* np.dtype('e') == np.float16 */
(size_t)framework::arity(dst_tensor.dims()),
dims_outside, strides);
return pybind11::buffer_info(
dst_tensor.data<CUR_TYPE>(), sizeof(CUR_TYPE),
"e", /* np.dtype('e') == np.float16 */
(size_t)framework::arity(dst_tensor.dims()), dims_outside, strides);
} else {
return py::buffer_info(dst_tensor.data<CUR_TYPE>(), sizeof(CUR_TYPE),
py::format_descriptor<CUR_TYPE>::format(),
(size_t)framework::arity(dst_tensor.dims()),
dims_outside, strides);
return pybind11::buffer_info(
dst_tensor.data<CUR_TYPE>(), sizeof(CUR_TYPE),
pybind11::format_descriptor<CUR_TYPE>::format(),
(size_t)framework::arity(dst_tensor.dims()), dims_outside, strides);
}
} else {
constexpr bool less = I + 1 < std::tuple_size<std::tuple<ARGS...>>::value;
......@@ -103,7 +99,7 @@ struct CastToPyBufferImpl<true, I, ARGS...> {
} // namespace details
inline py::buffer_info CastToPyBuffer(framework::Tensor &tensor) {
inline pybind11::buffer_info CastToPyBuffer(const framework::Tensor &tensor) {
auto buffer_info =
details::CastToPyBufferImpl<true, 0, float, int, double, int64_t, bool,
platform::float16>()(tensor);
......@@ -111,7 +107,7 @@ inline py::buffer_info CastToPyBuffer(framework::Tensor &tensor) {
}
template <typename T>
T TensorGetElement(framework::Tensor &self, size_t offset) {
T TensorGetElement(const framework::Tensor &self, size_t offset) {
if (platform::is_cpu_place(self.place())) {
return self.data<T>()[offset];
} else {
......@@ -123,31 +119,32 @@ T TensorGetElement(framework::Tensor &self, size_t offset) {
// TODO(dzhwinter) : fix the redundent Tensor allocate and free
template <typename T>
void TensorSetElement(framework::Tensor &self, size_t offset, T elem) {
if (platform::is_gpu_place(self.place())) {
void TensorSetElement(framework::Tensor *self, size_t offset, T elem) {
if (platform::is_gpu_place(self->place())) {
std::shared_ptr<framework::Tensor> dst(new framework::Tensor);
framework::TensorCopy(self, platform::CPUPlace(), dst.get());
framework::TensorCopy(*self, platform::CPUPlace(), dst.get());
dst->data<T>()[offset] = elem;
framework::TensorCopy(*dst.get(), self.place(), &self);
framework::TensorCopy(*dst.get(), self->place(), self);
} else if (platform::is_cpu_place(self.place())) {
self.data<T>()[offset] = elem;
} else if (platform::is_cpu_place(self->place())) {
self->data<T>()[offset] = elem;
}
}
template <typename T>
void PyCPUTensorSetFromArray(
framework::Tensor &self,
py::array_t<T, py::array::c_style | py::array::forcecast> array,
paddle::platform::CPUPlace &place) {
framework::Tensor *self,
pybind11::array_t<T, pybind11::array::c_style | pybind11::array::forcecast>
array,
paddle::platform::CPUPlace place) {
std::vector<int64_t> dims;
dims.reserve(array.ndim());
for (size_t i = 0; i < array.ndim(); ++i) {
dims.push_back(static_cast<int>(array.shape()[i]));
}
self.Resize(framework::make_ddim(dims));
auto *dst = self.mutable_data<T>(place);
self->Resize(framework::make_ddim(dims));
auto *dst = self->mutable_data<T>(place);
std::memcpy(dst, array.data(), sizeof(T) * array.size());
}
......@@ -155,34 +152,37 @@ template <>
// This following specialization maps uint16_t in the parameter type to
// platform::float16.
void PyCPUTensorSetFromArray(
framework::Tensor &self,
py::array_t<uint16_t, py::array::c_style | py::array::forcecast> array,
paddle::platform::CPUPlace &place) {
framework::Tensor *self,
pybind11::array_t<uint16_t,
pybind11::array::c_style | pybind11::array::forcecast>
array,
paddle::platform::CPUPlace place) {
std::vector<int64_t> dims;
dims.reserve(array.ndim());
for (size_t i = 0; i < array.ndim(); ++i) {
dims.push_back(static_cast<int>(array.shape()[i]));
}
self.Resize(framework::make_ddim(dims));
auto *dst = self.mutable_data<platform::float16>(place);
self->Resize(framework::make_ddim(dims));
auto *dst = self->mutable_data<platform::float16>(place);
std::memcpy(dst, array.data(), sizeof(uint16_t) * array.size());
}
#ifdef PADDLE_WITH_CUDA
template <typename T>
void PyCUDATensorSetFromArray(
framework::Tensor &self,
py::array_t<T, py::array::c_style | py::array::forcecast> array,
paddle::platform::CUDAPlace &place) {
framework::Tensor *self,
pybind11::array_t<T, pybind11::array::c_style | pybind11::array::forcecast>
array,
paddle::platform::CUDAPlace place) {
std::vector<int64_t> dims;
dims.reserve(array.ndim());
for (size_t i = 0; i < array.ndim(); ++i) {
dims.push_back(static_cast<int>(array.shape()[i]));
}
self.Resize(framework::make_ddim(dims));
auto *dst = self.mutable_data<T>(place);
self->Resize(framework::make_ddim(dims));
auto *dst = self->mutable_data<T>(place);
platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
auto dev_ctx =
......@@ -195,17 +195,19 @@ template <>
// This following specialization maps uint16_t in the parameter type to
// platform::float16.
void PyCUDATensorSetFromArray(
framework::Tensor &self,
py::array_t<uint16_t, py::array::c_style | py::array::forcecast> array,
paddle::platform::CUDAPlace &place) {
framework::Tensor *self,
pybind11::array_t<uint16_t,
pybind11::array::c_style | pybind11::array::forcecast>
array,
paddle::platform::CUDAPlace place) {
std::vector<int64_t> dims;
dims.reserve(array.ndim());
for (size_t i = 0; i < array.ndim(); ++i) {
dims.push_back(static_cast<int>(array.shape()[i]));
}
self.Resize(framework::make_ddim(dims));
auto *dst = self.mutable_data<platform::float16>(place);
self->Resize(framework::make_ddim(dims));
auto *dst = self->mutable_data<platform::float16>(place);
platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
auto dev_ctx =
......@@ -217,8 +219,9 @@ void PyCUDATensorSetFromArray(
template <typename T>
void PyCUDAPinnedTensorSetFromArray(
framework::Tensor &self,
py::array_t<T, py::array::c_style | py::array::forcecast> array,
framework::Tensor *self,
pybind11::array_t<T, pybind11::array::c_style | pybind11::array::forcecast>
array,
const paddle::platform::CUDAPinnedPlace &place) {
std::vector<int64_t> dims;
dims.reserve(array.ndim());
......@@ -226,8 +229,8 @@ void PyCUDAPinnedTensorSetFromArray(
dims.push_back(static_cast<int>(array.shape()[i]));
}
self.Resize(framework::make_ddim(dims));
auto *dst = self.mutable_data<T>(place);
self->Resize(framework::make_ddim(dims));
auto *dst = self->mutable_data<T>(place);
std::memcpy(dst, array.data(), sizeof(T) * array.size());
}
......@@ -235,8 +238,10 @@ template <>
// This following specialization maps uint16_t in the parameter type to
// platform::float16.
void PyCUDAPinnedTensorSetFromArray(
framework::Tensor &self,
py::array_t<uint16_t, py::array::c_style | py::array::forcecast> array,
framework::Tensor *self,
pybind11::array_t<uint16_t,
pybind11::array::c_style | pybind11::array::forcecast>
array,
const paddle::platform::CUDAPinnedPlace &place) {
std::vector<int64_t> dims;
dims.reserve(array.ndim());
......@@ -244,8 +249,8 @@ void PyCUDAPinnedTensorSetFromArray(
dims.push_back(static_cast<int>(array.shape()[i]));
}
self.Resize(framework::make_ddim(dims));
auto *dst = self.mutable_data<platform::float16>(place);
self->Resize(framework::make_ddim(dims));
auto *dst = self->mutable_data<platform::float16>(place);
std::memcpy(dst, array.data(), sizeof(uint16_t) * array.size());
}
#endif
......
paddle/fluid/pybind/tensor_py_test.cc 0 → 100644
浏览文件 @ 1543c4cf
// Copyright (c) 2018 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.
#include "paddle/fluid/pybind/tensor_py.h"
#include <iostream>
#include "gtest/gtest.h"
#include "paddle/fluid/framework/tensor.h"
TEST(TensorPy, CastToPyBufferImpl) {
typedef int ElemType;
paddle::framework::Tensor t;
auto d = paddle::framework::make_ddim({1, 2, 3});
int* p = t.mutable_data<ElemType>(d, paddle::platform::CPUPlace());
for (int i = 0; i < paddle::framework::product(d); ++i) {
p[i] = i;
}
pybind11::buffer_info bi = paddle::pybind::CastToPyBuffer(t);
EXPECT_EQ(bi.itemsize, static_cast<size_t>(sizeof(ElemType)));
EXPECT_EQ(bi.size, static_cast<size_t>(paddle::framework::product(d)));
EXPECT_EQ(bi.ndim, static_cast<size_t>(3)); // 3-dimensional as d.
EXPECT_EQ(bi.shape.size(), 3U); // as Dim d.
EXPECT_EQ(bi.shape[0], static_cast<size_t>(1));
EXPECT_EQ(bi.shape[1], static_cast<size_t>(2));
EXPECT_EQ(bi.shape[2], static_cast<size_t>(3));
EXPECT_EQ(bi.strides.size(), 3U); // 3-dimensional as d.
EXPECT_EQ(bi.strides[2], static_cast<size_t>(sizeof(ElemType)));
EXPECT_EQ(bi.strides[1], static_cast<size_t>(sizeof(ElemType) * 3));
EXPECT_EQ(bi.strides[0], static_cast<size_t>(sizeof(ElemType) * 2 * 3));
}
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