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Paddle/paddle/fluid/operators/channel_create_op.cc

115 lines
4.4 KiB

Add Go_op, Channel_create, channel_close, channel_send and channel_receive ops (#8593) * Adding Python boilerplate code for Go op * Add very basic test case * Adding the python logic for go routine * Fix syntax * Changing test to notest * Rename Routine to Go * Combining GoGuard and Go in one class * Modify test * Adding fluid close channel * Fixing __init__.py for calling fluid.go() * Adding stubs for channel methods and updating test case * Removing import * * Adding imports from concurrency * Initial commit of GO_OP (for varun) * Creating local scopes and go through them * Updated go op inputs persistability enforcement * Add thread execution; compile failing though * Fix go op * Cleaned up Go op * Fix yapf format issue * Readd warp ctc dir for unit tests * Updated make_channel, channel_send, channel_recv and channel_close * Moved thread function to another method, update unit tests * remove output var * Add stubs for channel operators * Updating concurrency with signatures * Updated the signature with return status * Fixed dtype in variables * Updating stub of ChannelSend + add infershape * Updating stub of ChannelRecv + add infershape * Updated signature * Adding the channel_create operator * Merge channel send+receive ops * Update concurrency tests using all operators * Updating the create op with ChannelHolder * Fix issues with channel_create_op * Add the implementation for channel_close op * Add channel close operator, fix channel close op * Adding the channel_send op * Comment channels C++ and Python code * Concurrency python api comment fix * Update unit test to add Status variable * Adding channel receive operator * Update concurrency test to demonstrate a complete CSP flow * Fix clang-format issues * Fixed "Out" parameter name * Fixing merge conflict in framework.py * Add channel ops to framework.py no_kernel_op_set * Seperating channel_send and channel_recv operators * Documenting capacity type * Update concurrency test to create go block as child block of main program * Changing set status implementation
7 years ago
/* 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. */
#include "paddle/fluid/framework/channel.h"
#include "paddle/fluid/framework/lod_rank_table.h"
#include "paddle/fluid/framework/lod_tensor_array.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/reader.h"
namespace pf = paddle::framework;
static constexpr char kOutput[] = "Out";
namespace paddle {
namespace operators {
class ChannelCreateOp : public framework::OperatorBase {
public:
ChannelCreateOp(const std::string &type,
const framework::VariableNameMap &inputs,
const framework::VariableNameMap &outputs,
const framework::AttributeMap &attrs)
: framework::OperatorBase(type, inputs, outputs, attrs) {}
private:
void RunImpl(const framework::Scope &scope,
const platform::Place &dev_place) const override {
auto &out = *scope.FindVar(Output(kOutput));
// Determine the datatype and capacity of the channel to be created
// from the attributes provided.
auto dtype =
static_cast<framework::proto::VarType::Type>(Attr<int>("data_type"));
auto capacity = Attr<int>("capacity");
// Based on the datatype, create a new channel holder initialized with
// the given capacity. When capacity is 0, an unbuffered channel is
// created.
pf::ChannelHolder *ch = out.GetMutable<framework::ChannelHolder>();
if (dtype == framework::proto::VarType::LOD_TENSOR) {
ch->Reset<pf::LoDTensor>(capacity);
} else if (dtype == framework::proto::VarType::SELECTED_ROWS) {
ch->Reset<pf::SelectedRows>(capacity);
} else if (dtype == framework::proto::VarType::LOD_RANK_TABLE) {
ch->Reset<pf::LoDRankTable>(capacity);
} else if (dtype == framework::proto::VarType::LOD_TENSOR_ARRAY) {
ch->Reset<pf::LoDTensorArray>(capacity);
} else if (dtype == framework::proto::VarType::READER) {
ch->Reset<pf::ReaderHolder>(capacity);
} else if (dtype == framework::proto::VarType::CHANNEL) {
ch->Reset<pf::ChannelHolder>(capacity);
} else if (dtype == framework::proto::VarType::BOOL) {
ch->Reset<bool>(capacity);
} else if (dtype == framework::proto::VarType::INT32) {
ch->Reset<int>(capacity);
} else if (dtype == framework::proto::VarType::INT64) {
ch->Reset<int64_t>(capacity);
} else if (dtype == framework::proto::VarType::FP32) {
ch->Reset<float>(capacity);
} else if (dtype == framework::proto::VarType::FP64) {
ch->Reset<double>(capacity);
} else {
PADDLE_THROW(
"Data type %d is not in "
"[LOD_TENSOR, SELECTED_ROWS, LOD_RANK_TABLE, LOD_TENSOR_ARRAY, "
"READER, CHANNEL, BOOL, INT32, INT64, FP32, FP64]",
dtype);
}
}
};
class ChannelCreateOpOpInferShape : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext *context) const override {
PADDLE_ENFORCE(context->HasOutput(kOutput),
"The output of ChannelCreate op must be set");
context->SetOutputDim(kOutput, {1});
}
};
class ChannelCreateOpMaker : public framework::OpProtoAndCheckerMaker {
public:
ChannelCreateOpMaker(OpProto *proto, OpAttrChecker *op_checker)
: OpProtoAndCheckerMaker(proto, op_checker) {
AddOutput(kOutput,
"The object of a Channel type created by ChannelCreate Op.");
AddAttr<int>("capacity", "The size of the buffer of Channel.")
.SetDefault(0);
AddAttr<int>("data_type", "The data type of elements inside the Channel.");
AddComment(R"DOC(
Channel Create Operator.
This operator creates an object of the VarType Channel and returns it.
)DOC");
}
};
} // namespace operators
} // namespace paddle
REGISTER_OPERATOR(channel_create, paddle::operators::ChannelCreateOp,
paddle::framework::EmptyGradOpMaker,
paddle::operators::ChannelCreateOpMaker);