Xin Pan
7 years ago
parent
35b713c3fd
commit
ddd60581b7
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File diff suppressed because it is too large
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@ -1,70 +0,0 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/fluid/framework/channel.h"
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#include "paddle/fluid/framework/op_registry.h"
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namespace pf = paddle::framework;
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static constexpr char kChannel[] = "Channel";
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namespace paddle {
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namespace operators {
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class ChannelCloseOp : public framework::OperatorBase {
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public:
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ChannelCloseOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: framework::OperatorBase(type, inputs, outputs, attrs) {}
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private:
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void RunImpl(const framework::Scope &scope,
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const platform::Place &dev_place) const override {
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auto &inp = *scope.FindVar(Input(kChannel));
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// Get the mutable version of the channel variable and closes it.
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pf::ChannelHolder *ch = inp.GetMutable<framework::ChannelHolder>();
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ch->close();
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}
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};
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class ChannelCloseOpOpInferShape : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext *context) const override {
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PADDLE_ENFORCE(context->HasInput("Channel"),
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"The input of ChannelClose op must be set");
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}
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};
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class ChannelCloseOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput(kChannel,
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"The Channel Variable that should be closed by"
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" the ChannelClose Op.");
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AddComment(R"DOC(
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Channel Close Operator.
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This operator closes an open channel.
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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REGISTER_OPERATOR(channel_close, paddle::operators::ChannelCloseOp,
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paddle::framework::EmptyGradOpMaker,
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paddle::operators::ChannelCloseOpMaker);
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@ -1,113 +0,0 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/fluid/framework/channel.h"
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#include "paddle/fluid/framework/lod_rank_table.h"
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#include "paddle/fluid/framework/lod_tensor_array.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/reader.h"
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namespace pf = paddle::framework;
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static constexpr char kOutput[] = "Out";
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namespace paddle {
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namespace operators {
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class ChannelCreateOp : public framework::OperatorBase {
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public:
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ChannelCreateOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: framework::OperatorBase(type, inputs, outputs, attrs) {}
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private:
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void RunImpl(const framework::Scope &scope,
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const platform::Place &dev_place) const override {
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auto &out = *scope.FindVar(Output(kOutput));
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// Determine the datatype and capacity of the channel to be created
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// from the attributes provided.
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auto dtype =
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static_cast<framework::proto::VarType::Type>(Attr<int>("data_type"));
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auto capacity = Attr<int>("capacity");
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// Based on the datatype, create a new channel holder initialized with
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// the given capacity. When capacity is 0, an unbuffered channel is
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// created.
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pf::ChannelHolder *ch = out.GetMutable<framework::ChannelHolder>();
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if (dtype == framework::proto::VarType::LOD_TENSOR) {
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ch->Reset<pf::LoDTensor>(capacity);
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} else if (dtype == framework::proto::VarType::SELECTED_ROWS) {
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ch->Reset<pf::SelectedRows>(capacity);
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} else if (dtype == framework::proto::VarType::LOD_RANK_TABLE) {
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ch->Reset<pf::LoDRankTable>(capacity);
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} else if (dtype == framework::proto::VarType::LOD_TENSOR_ARRAY) {
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ch->Reset<pf::LoDTensorArray>(capacity);
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} else if (dtype == framework::proto::VarType::READER) {
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ch->Reset<pf::ReaderHolder>(capacity);
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} else if (dtype == framework::proto::VarType::CHANNEL) {
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ch->Reset<pf::ChannelHolder>(capacity);
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} else if (dtype == framework::proto::VarType::BOOL) {
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ch->Reset<bool>(capacity);
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} else if (dtype == framework::proto::VarType::INT32) {
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ch->Reset<int>(capacity);
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} else if (dtype == framework::proto::VarType::INT64) {
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ch->Reset<int64_t>(capacity);
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} else if (dtype == framework::proto::VarType::FP32) {
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ch->Reset<float>(capacity);
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} else if (dtype == framework::proto::VarType::FP64) {
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ch->Reset<double>(capacity);
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} else {
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PADDLE_THROW(
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"Data type %d is not in "
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"[LOD_TENSOR, SELECTED_ROWS, LOD_RANK_TABLE, LOD_TENSOR_ARRAY, "
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"READER, CHANNEL, BOOL, INT32, INT64, FP32, FP64]",
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dtype);
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}
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}
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};
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class ChannelCreateOpOpInferShape : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext *context) const override {
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PADDLE_ENFORCE(context->HasOutput(kOutput),
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"The output of ChannelCreate op must be set");
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context->SetOutputDim(kOutput, {1});
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}
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};
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class ChannelCreateOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddOutput(kOutput,
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"The object of a Channel type created by ChannelCreate Op.");
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AddAttr<int>("capacity", "The size of the buffer of Channel.")
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.SetDefault(0);
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AddAttr<int>("data_type", "The data type of elements inside the Channel.");
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AddComment(R"DOC(
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Channel Create Operator.
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This operator creates an object of the VarType Channel and returns it.
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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REGISTER_OPERATOR(channel_create, paddle::operators::ChannelCreateOp,
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paddle::framework::EmptyGradOpMaker,
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paddle::operators::ChannelCreateOpMaker);
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@ -1,98 +0,0 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/fluid/framework/channel.h"
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#include <paddle/fluid/framework/lod_rank_table.h>
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#include <paddle/fluid/framework/lod_tensor_array.h>
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#include <paddle/fluid/framework/reader.h>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/var_type.h"
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#include "paddle/fluid/operators/concurrency/channel_util.h"
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#include "paddle/fluid/operators/math/math_function.h"
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static constexpr char Channel[] = "Channel";
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static constexpr char Status[] = "Status";
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static constexpr char Out[] = "Out";
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namespace paddle {
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namespace operators {
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void SetReceiveStatus(const platform::Place &dev_place,
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framework::Variable *status_var, bool status) {
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auto cpu = platform::CPUPlace();
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auto status_tensor =
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status_var->GetMutable<framework::LoDTensor>()->mutable_data<bool>({1},
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cpu);
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status_tensor[0] = status;
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}
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class ChannelRecvOp : public framework::OperatorBase {
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public:
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ChannelRecvOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: framework::OperatorBase(type, inputs, outputs, attrs) {}
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void InferShape(framework::InferShapeContext *ctx) const {
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PADDLE_ENFORCE(ctx->HasInput(Channel),
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"Input(Channel) of ChannelRecvOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput(Out),
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"Input(Channel) of ChannelRecvOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput(Status),
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"Output(Status) of ChannelRecvOp should not be null.");
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ctx->SetOutputDim("Status", {1});
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}
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private:
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void RunImpl(const framework::Scope &scope,
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const platform::Place &dev_place) const override {
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// Get the channel holder created by channel_create op, passed as input.
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framework::ChannelHolder *ch =
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scope.FindVar(Input(Channel))->GetMutable<framework::ChannelHolder>();
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auto output_var = scope.FindVar(Output(Out));
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// Receive the data from the channel.
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bool ok = concurrency::ChannelReceive(ch, output_var);
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// Set the status output of the `ChannelReceive` call.
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SetReceiveStatus(dev_place, scope.FindVar(Output(Status)), ok);
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}
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};
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class ChannelRecvOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput(Channel,
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"(Channel) A variable which \"receives\" the a value sent"
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"to it by a channel_send op.")
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.AsDuplicable();
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AddOutput(Out,
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"(Variable) Output Variable that will hold the data received"
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" from the Channel")
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.AsDuplicable();
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AddOutput(Status,
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"(Tensor) An LoD Tensor that returns a boolean status of the"
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"result of the receive operation.")
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.AsDuplicable();
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AddComment(R"DOC(
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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REGISTER_OPERATOR(channel_recv, paddle::operators::ChannelRecvOp,
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paddle::framework::EmptyGradOpMaker,
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paddle::operators::ChannelRecvOpMaker);
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@ -1,76 +0,0 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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|
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http://www.apache.org/licenses/LICENSE-2.0
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|
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Unless required by applicable law or agreed to in writing, software
|
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distributed under the License is distributed on an "AS IS" BASIS,
|
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
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See the License for the specific language governing permissions and
|
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limitations under the License. */
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#include "paddle/fluid/framework/channel.h"
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#include <paddle/fluid/framework/lod_rank_table.h>
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#include <paddle/fluid/framework/lod_tensor_array.h>
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#include <paddle/fluid/framework/reader.h>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/var_type.h"
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#include "paddle/fluid/operators/concurrency/channel_util.h"
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#include "paddle/fluid/operators/math/math_function.h"
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static constexpr char Channel[] = "Channel";
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static constexpr char X[] = "X";
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namespace paddle {
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namespace operators {
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class ChannelSendOp : public framework::OperatorBase {
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public:
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ChannelSendOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: framework::OperatorBase(type, inputs, outputs, attrs) {}
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void InferShape(framework::InferShapeContext *ctx) const {
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PADDLE_ENFORCE(ctx->HasInput(Channel),
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"Input(Channel) of ChannelSendOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput(X),
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"Input(X) of ChannelSendOp should not be null.");
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}
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private:
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void RunImpl(const framework::Scope &scope,
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const platform::Place &dev_place) const override {
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// Get the channel holder created by channel_create op, passed as input.
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framework::ChannelHolder *ch =
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scope.FindVar(Input(Channel))->GetMutable<framework::ChannelHolder>();
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auto input_var = scope.FindVar(Input(X));
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// Send the input data through the channel.
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concurrency::ChannelSend(ch, input_var);
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}
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};
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class ChannelSendOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput(Channel,
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"(Channel) A variable which \"sends\" the passed in value to "
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"a listening receiver.")
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.AsDuplicable();
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AddInput(X, "(Variable) The value which gets sent by the channel.")
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.AsDuplicable();
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AddComment(R"DOC(
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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REGISTER_OPERATOR(channel_send, paddle::operators::ChannelSendOp,
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paddle::framework::EmptyGradOpMaker,
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paddle::operators::ChannelSendOpMaker);
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@ -1 +0,0 @@
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cc_library(concurrency SRCS channel_util.cc DEPS device_context framework_proto boost eigen3)
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@ -1,111 +0,0 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
|
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|
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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/operators/concurrency/channel_util.h"
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#include "paddle/fluid/framework/var_type.h"
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namespace poc = paddle::operators::concurrency;
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void poc::ChannelSend(framework::ChannelHolder *ch, framework::Variable *var) {
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auto type = framework::ToVarType(var->Type());
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if (type == framework::proto::VarType_Type_LOD_TENSOR)
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ch->Send(var->GetMutable<framework::LoDTensor>());
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else if (type == framework::proto::VarType_Type_LOD_RANK_TABLE)
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ch->Send(var->GetMutable<framework::LoDRankTable>());
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else if (type == framework::proto::VarType_Type_LOD_TENSOR_ARRAY)
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ch->Send(var->GetMutable<framework::LoDTensorArray>());
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else if (type == framework::proto::VarType_Type_SELECTED_ROWS)
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ch->Send(var->GetMutable<framework::SelectedRows>());
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else if (type == framework::proto::VarType_Type_READER)
|
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ch->Send(var->GetMutable<framework::ReaderHolder>());
|
||||
else if (type == framework::proto::VarType_Type_CHANNEL)
|
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ch->Send(var->GetMutable<framework::ChannelHolder>());
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||||
else
|
||||
PADDLE_THROW("ChannelSend:Unsupported type");
|
||||
}
|
||||
|
||||
bool poc::ChannelReceive(framework::ChannelHolder *ch,
|
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framework::Variable *var) {
|
||||
// Get type of channel and use that to call mutable data for Variable
|
||||
auto type = framework::ToVarType(ch->Type());
|
||||
if (type == framework::proto::VarType_Type_LOD_TENSOR)
|
||||
return ch->Receive(var->GetMutable<framework::LoDTensor>());
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||||
else if (type == framework::proto::VarType_Type_LOD_RANK_TABLE)
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return ch->Receive(var->GetMutable<framework::LoDRankTable>());
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else if (type == framework::proto::VarType_Type_LOD_TENSOR_ARRAY)
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return ch->Receive(var->GetMutable<framework::LoDTensorArray>());
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else if (type == framework::proto::VarType_Type_SELECTED_ROWS)
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return ch->Receive(var->GetMutable<framework::SelectedRows>());
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else if (type == framework::proto::VarType_Type_READER)
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return ch->Receive(var->GetMutable<framework::ReaderHolder>());
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else if (type == framework::proto::VarType_Type_CHANNEL)
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||||
return ch->Receive(var->GetMutable<framework::ChannelHolder>());
|
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else
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PADDLE_THROW("ChannelReceive:Unsupported type");
|
||||
}
|
||||
|
||||
void poc::ChannelAddToSendQ(framework::ChannelHolder *ch, const void *referrer,
|
||||
framework::Variable *var,
|
||||
std::shared_ptr<std::condition_variable_any> cond,
|
||||
std::function<bool(framework::ChannelAction)> cb) {
|
||||
auto type = framework::ToVarType(var->Type());
|
||||
if (type == framework::proto::VarType_Type_LOD_TENSOR) {
|
||||
ch->AddToSendQ(referrer, var->GetMutable<framework::LoDTensor>(), cond, cb);
|
||||
} else if (type == framework::proto::VarType_Type_LOD_RANK_TABLE) {
|
||||
ch->AddToSendQ(referrer, var->GetMutable<framework::LoDRankTable>(), cond,
|
||||
cb);
|
||||
} else if (type == framework::proto::VarType_Type_LOD_TENSOR_ARRAY) {
|
||||
ch->AddToSendQ(referrer, var->GetMutable<framework::LoDTensorArray>(), cond,
|
||||
cb);
|
||||
} else if (type == framework::proto::VarType_Type_SELECTED_ROWS) {
|
||||
ch->AddToSendQ(referrer, var->GetMutable<framework::SelectedRows>(), cond,
|
||||
cb);
|
||||
} else if (type == framework::proto::VarType_Type_READER) {
|
||||
ch->AddToSendQ(referrer, var->GetMutable<framework::ReaderHolder>(), cond,
|
||||
cb);
|
||||
} else if (type == framework::proto::VarType_Type_CHANNEL) {
|
||||
ch->AddToSendQ(referrer, var->GetMutable<framework::ChannelHolder>(), cond,
|
||||
cb);
|
||||
} else {
|
||||
PADDLE_THROW("ChannelAddToSendQ:Unsupported type");
|
||||
}
|
||||
}
|
||||
|
||||
void poc::ChannelAddToReceiveQ(
|
||||
framework::ChannelHolder *ch, const void *referrer,
|
||||
framework::Variable *var, std::shared_ptr<std::condition_variable_any> cond,
|
||||
std::function<bool(framework::ChannelAction)> cb) {
|
||||
auto type = framework::ToVarType(var->Type());
|
||||
if (type == framework::proto::VarType_Type_LOD_TENSOR) {
|
||||
ch->AddToReceiveQ(referrer, var->GetMutable<framework::LoDTensor>(), cond,
|
||||
cb);
|
||||
} else if (type == framework::proto::VarType_Type_LOD_RANK_TABLE) {
|
||||
ch->AddToReceiveQ(referrer, var->GetMutable<framework::LoDRankTable>(),
|
||||
cond, cb);
|
||||
} else if (type == framework::proto::VarType_Type_LOD_TENSOR_ARRAY) {
|
||||
ch->AddToReceiveQ(referrer, var->GetMutable<framework::LoDTensorArray>(),
|
||||
cond, cb);
|
||||
} else if (type == framework::proto::VarType_Type_SELECTED_ROWS) {
|
||||
ch->AddToReceiveQ(referrer, var->GetMutable<framework::SelectedRows>(),
|
||||
cond, cb);
|
||||
} else if (type == framework::proto::VarType_Type_READER) {
|
||||
ch->AddToReceiveQ(referrer, var->GetMutable<framework::ReaderHolder>(),
|
||||
cond, cb);
|
||||
} else if (type == framework::proto::VarType_Type_CHANNEL) {
|
||||
ch->AddToReceiveQ(referrer, var->GetMutable<framework::ChannelHolder>(),
|
||||
cond, cb);
|
||||
} else {
|
||||
PADDLE_THROW("ChannelAddToReceiveQ:Unsupported type");
|
||||
}
|
||||
}
|
||||
@ -1,38 +0,0 @@
|
||||
/* 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/framework/channel.h"
|
||||
#include "paddle/fluid/framework/variable.h"
|
||||
|
||||
namespace paddle {
|
||||
namespace operators {
|
||||
namespace concurrency {
|
||||
|
||||
void ChannelSend(framework::ChannelHolder *ch, framework::Variable *var);
|
||||
bool ChannelReceive(framework::ChannelHolder *ch, framework::Variable *var);
|
||||
|
||||
void ChannelAddToSendQ(framework::ChannelHolder *ch, const void *referrer,
|
||||
framework::Variable *var,
|
||||
std::shared_ptr<std::condition_variable_any> cond,
|
||||
std::function<bool(framework::ChannelAction)> cb);
|
||||
void ChannelAddToReceiveQ(framework::ChannelHolder *ch, const void *referrer,
|
||||
framework::Variable *var,
|
||||
std::shared_ptr<std::condition_variable_any> cond,
|
||||
std::function<bool(framework::ChannelAction)> cb);
|
||||
|
||||
} // namespace concurrency
|
||||
} // namespace operators
|
||||
} // namespace paddle
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
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