提交 9f643322 编写于 作者: Y yi.wu

Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into add_golang_precommit

......@@ -192,9 +192,9 @@ function(cc_test TARGET_NAME)
set(multiValueArgs SRCS DEPS)
cmake_parse_arguments(cc_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
add_executable(${TARGET_NAME} ${cc_test_SRCS})
target_link_libraries(${TARGET_NAME} ${cc_test_DEPS} gtest gtest_main)
target_link_libraries(${TARGET_NAME} ${cc_test_DEPS} gtest gtest_main -lstdc++ -lm)
add_dependencies(${TARGET_NAME} ${cc_test_DEPS} gtest gtest_main)
add_test(${TARGET_NAME} ${TARGET_NAME})
add_test(NAME ${TARGET_NAME} COMMAND ${TARGET_NAME} WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR})
endif()
endfunction(cc_test)
......@@ -281,10 +281,11 @@ function(go_library TARGET_NAME)
file(GLOB GO_SOURCE RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "*.go")
string(REPLACE "${PADDLE_GO_PATH}/" "" CMAKE_CURRENT_SOURCE_REL_DIR ${CMAKE_CURRENT_SOURCE_DIR})
# FIXME: link path
add_custom_command(TARGET ${TARGET_NAME} POST_BUILD
COMMAND rm "${${TARGET_NAME}_LIB_PATH}"
# Golang build source code
COMMAND env GOPATH=${GOPATH} ${CMAKE_Go_COMPILER} build ${BUILD_MODE}
COMMAND env LIBRARY_PATH=${CMAKE_BINARY_DIR}/go/pserver/client/c/:$ENV{LIBRARY_PATH} GOPATH=${GOPATH} ${CMAKE_Go_COMPILER} build ${BUILD_MODE}
-o "${${TARGET_NAME}_LIB_PATH}"
"./${CMAKE_CURRENT_SOURCE_REL_DIR}/${GO_SOURCE}"
# must run under GOPATH
......@@ -299,11 +300,13 @@ function(go_binary TARGET_NAME)
cmake_parse_arguments(go_binary "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
string(REPLACE "${PADDLE_GO_PATH}/" "" CMAKE_CURRENT_SOURCE_REL_DIR ${CMAKE_CURRENT_SOURCE_DIR})
# FIXME: link path
add_custom_command(OUTPUT ${TARGET_NAME}_timestamp
COMMAND env GOPATH=${GOPATH} ${CMAKE_Go_COMPILER} build
COMMAND env LIBRARY_PATH=${CMAKE_BINARY_DIR}/go/pserver/client/c/:$ENV{LIBRARY_PATH}
GOPATH=${GOPATH} ${CMAKE_Go_COMPILER} build
-o "${CMAKE_CURRENT_BINARY_DIR}/${TARGET_NAME}"
"./${CMAKE_CURRENT_SOURCE_REL_DIR}/${go_binary_SRCS}"
WORKING_DIRECTORY "${PADDLE_IN_GOPATH}/go")
WORKING_DIRECTORY "${PADDLE_IN_GOPATH}/go")
# TODO: don't know what ${TARGET_NAME}_link does
add_custom_target(${TARGET_NAME} ALL DEPENDS go_vendor ${TARGET_NAME}_timestamp ${go_binary_DEPS})
install(PROGRAMS ${CMAKE_CURRENT_BINARY_DIR}/${TARGET_NAME} DESTINATION bin)
......
......@@ -12,4 +12,4 @@
# See the License for the specific language governing permissions and
# limitations under the License.
go_binary(master SRC master.go)
go_binary(master SRC master.go DEPS paddle_go_optimizer)
......@@ -2,5 +2,5 @@ cc_library(paddle_go_optimizer DEPS paddle_optimizer paddle_proto glog gflags pr
target_link_libraries(paddle_go_optimizer stdc++ m)
go_library(paddle_pserver_cclient STATIC DEPS paddle_go_optimizer)
if(WITH_TESTING)
add_subdirectory(test)
add_subdirectory(test)
endif()
......@@ -66,6 +66,7 @@ SWIG_LINK_LIBRARIES(swig_paddle
paddle_trainer_lib
paddle_network
paddle_parameter
paddle_optimizer
paddle_math
paddle_utils
paddle_proto
......
......@@ -25,6 +25,10 @@ namespace paddle {
* If SequenceLevel = kNonSeq:
* Output: output size is the number of input sequences (NOT input instances)
* output[i] = average_{for each instance in this sequence}{input[i]}
* If stride_ > 0:
* Output: a shorten sequence. Stride is the step size by which we slide a
* window upon the input sequence, and the average pooling
* operation is then applied to each interval independently.
* If SequenceLevel = kSeq:
* Check input sequence must has sub-sequence
* Output: output size is the number of input sub-sequences
......
......@@ -36,6 +36,16 @@ MatrixPtr CrossChannelNormLayer::createSpatialMatrix(MatrixPtr data,
data->getData() + iter * spatialDim, 1, spatialDim, false, useGpu_);
}
bool CrossChannelNormLayer::init(const LayerMap& layerMap,
const ParameterMap& parameterMap) {
Layer::init(layerMap, parameterMap);
CHECK(parameters_[0]);
const NormConfig& conf = config_.inputs(0).norm_conf();
channels_ = conf.channels();
scale_.reset(new Weight(channels_, 1, parameters_[0]));
return true;
}
void CrossChannelNormLayer::forward(PassType passType) {
Layer::forward(passType);
MatrixPtr inV = getInputValue(0);
......@@ -51,9 +61,7 @@ void CrossChannelNormLayer::forward(PassType passType) {
Matrix::resizeOrCreate(dataBuffer_, batchSize, dataDim, false, useGpu_);
Matrix::resizeOrCreate(spatialBuffer_, 1, spatialDim, false, useGpu_);
Matrix::resizeOrCreate(normBuffer_, batchSize, spatialDim, false, useGpu_);
normBuffer_->zeroMem();
// add eps to avoid overflow
normBuffer_->addScalar(*normBuffer_, 1e-6);
inV->square2(*dataBuffer_);
for (size_t i = 0; i < batchSize; i++) {
const MatrixPtr inVTmp = createSampleMatrix(inV, i, spatialDim);
......@@ -63,6 +71,8 @@ void CrossChannelNormLayer::forward(PassType passType) {
// compute norm.
spatialBuffer_->sumCols(*dataTmp, 1, 0);
// add eps to avoid overflow
spatialBuffer_->add(1e-6);
spatialBuffer_->sqrt2(*spatialBuffer_);
normTmp->copyFrom(*spatialBuffer_);
outVTmp->copyFrom(*inVTmp);
......@@ -82,6 +92,9 @@ void CrossChannelNormLayer::backward(const UpdateCallback& callback) {
size_t dataDim = inG->getWidth();
size_t spatialDim = dataDim / channels_;
MatrixPtr inGBuffer;
Matrix::resizeOrCreate(inGBuffer, channels_, spatialDim, false, useGpu_);
dataBuffer_->dotMul(*outG, *outV);
Matrix::resizeOrCreate(scaleDiff_, channels_, 1, false, useGpu_);
Matrix::resizeOrCreate(channelBuffer_, channels_, 1, false, useGpu_);
......@@ -100,22 +113,24 @@ void CrossChannelNormLayer::backward(const UpdateCallback& callback) {
scaleDiff_->add(*channelBuffer_, 1.);
sampleBuffer_->dotMul(*inVTmp, *outGTmp);
spatialBuffer_->sumCols(*sampleBuffer_, 1., 1.);
spatialBuffer_->sumCols(*sampleBuffer_, 1., 0.);
// scale the grad
inGTmp->copyFrom(*inVTmp);
inGTmp->mulRowVector(*spatialBuffer_);
inGBuffer->copyFrom(*inVTmp);
inGBuffer->mulRowVector(*spatialBuffer_);
// divide by square of norm
spatialBuffer_->dotMul(*normTmp, *normTmp);
inGTmp->divRowVector(*spatialBuffer_);
inGBuffer->divRowVector(*spatialBuffer_);
// subtract
inGTmp->add(*outGTmp, -1, 1);
inGBuffer->add(*outGTmp, -1, 1);
// divide by norm
inGTmp->divRowVector(*normTmp);
inGBuffer->divRowVector(*normTmp);
// scale the diff
inGTmp->mulColVector(*scale_->getW());
inGBuffer->mulColVector(*scale_->getW());
inGTmp->add(*inGBuffer);
}
// updata scale
if (scale_->getWGrad()) scale_->getWGrad()->copyFrom(*scaleDiff_);
if (scale_->getWGrad()) scale_->getWGrad()->add(*scaleDiff_);
scale_->getParameterPtr()->incUpdate(callback);
}
......
......@@ -26,6 +26,10 @@ namespace paddle {
* If SequenceLevel = kNonSeq:
* Output: output size is the number of input sequences (NOT input instances)
* output[i] = max_{for each instance in this sequence}{input[i]}
* If stride_ > 0:
* Output: a shorten sequence. Stride is the step size by which we slide a
* window upon the input sequence, and the max pooling operation is
* then applied to each interval independently.
* If SequenceLevel = kSeq:
* Check input sequence must has sub-sequence
* Output: output size is the number of input sub-sequences
......
......@@ -56,14 +56,4 @@ bool ResponseNormLayer::init(const LayerMap& layerMap,
return true;
}
bool CrossChannelNormLayer::init(const LayerMap& layerMap,
const ParameterMap& parameterMap) {
Layer::init(layerMap, parameterMap);
CHECK(parameters_[0]);
const NormConfig& conf = config_.inputs(0).norm_conf();
channels_ = conf.channels();
scale_.reset(new Weight(channels_, 1, parameters_[0]));
return true;
}
} // namespace paddle
......@@ -26,10 +26,9 @@ namespace paddle {
* If SequenceLevel = kNonseq:
* Output: a sequence containing only the last instance of the input sequence
* If stride_ > 0:
* Output: a shorten sequence. The operation of getting last instance of a
* sequence is independently performed on every slice of the input
* sequence, which is obtained by sliding a window with the window
* size set to stride_.
* Output: a shorten sequence. Stride is the step size by which we slide a
* window upon the input sequence, and getting last instance
* operation is then applied to each interval independently.
* If SequenceLevel = kSeq:
* Check input sequence must has sub-sequence
* Output: a sequence containing only the last instance of each sub-sequence
......@@ -73,8 +72,7 @@ bool SequenceLastInstanceLayer::init(const LayerMap& layerMap,
void SequenceLastInstanceLayer::forward(PassType passType) {
SequencePoolLayer::forward(passType);
auto starts = (stride_ > 0) ? stridePositions_->getData()
: startPositions_->getData(false);
auto starts = startPositions_->getData(false);
MatrixPtr inputValue = getInputValue(0);
MatrixPtr outputValue = getOutputValue();
......
......@@ -72,9 +72,8 @@ void SequencePoolLayer::forward(PassType passType) {
if (stride_ > 0) {
CHECK_EQ(input.hasSubseq(), 0UL)
<< "sequence stride pooling is invalid for hasSubseq now";
output_.poolSequenceWithStride(
input, stride_, &stridePositions_, reversed_);
newBatchSize_ = stridePositions_->getSize() - 1;
output_.poolSequenceWithStride(input, stride_, &startPositions_, reversed_);
newBatchSize_ = startPositions_->getSize() - 1;
}
resetOutput(newBatchSize_, dim);
......
......@@ -28,8 +28,9 @@ namespace paddle {
* sequence}{input[i]}
* If stride_ > 0:
* Check input sequence must not have sub-sequence
* Output: a shorten sequence, pooling is performed upon a small local
* area
* Output: a shorten sequence. Stride is the step size by which we slide
* a window upon the input sequence, and the pooling operation
* is then applied to each interval independently.
* If SequenceLevel = kSeq:
* Check input sequence must has sub-sequence
* Output: output size is the number of input sub-sequences
......@@ -47,8 +48,6 @@ protected:
size_t newBatchSize_;
ICpuGpuVectorPtr startPositions_;
int stride_;
// Store the start position of each window.
IVectorPtr stridePositions_;
// Whether the input sequence is reversed or not.
bool reversed_ = false;
......
......@@ -465,7 +465,6 @@ void initTestLayer(TestConfig testConf,
ParameterConfig paraConfig) {
paraConfig.set_name(paraName);
paraConfig.set_size(paraSize);
paraConfig.set_initial_std(1);
paraConfig.set_is_static(isStatic);
auto para =
std::make_shared<Parameter>(paraConfig, FLAGS_use_gpu, initialize);
......@@ -499,6 +498,9 @@ void initTestLayer(TestConfig testConf,
paraConfig.add_dims((*layerMap)[input.input_layer_name()]->getSize());
paraConfig.add_dims(testConf.layerConfig.size());
}
CHECK_GE(testConf.paramInitialStd, 0);
paraConfig.set_initial_mean(testConf.paramInitialMean);
paraConfig.set_initial_std(testConf.paramInitialStd);
initParameter(paraName, paraSize, inputDef.isStatic, false, paraConfig);
}
}
......
......@@ -125,12 +125,16 @@ struct TestConfig {
LayerConfig layerConfig;
std::vector<InputDef> inputDefs;
size_t biasSize;
real paramInitialMean;
real paramInitialStd;
bool testAccumulate;
bool testState;
bool staticBias;
bool testBatchState;
TestConfig()
: biasSize(0),
paramInitialMean(0.0),
paramInitialStd(1.0),
testAccumulate(true),
testState(false),
staticBias(false),
......
......@@ -845,8 +845,12 @@ void testDegradeLayer(bool hasSubseq,
TEST(Layer, MaxLayer) {
testDegradeLayer(false, "max", "non-seq", -1); // seq max to non-seq
testDegradeLayer(true, "max", "non-seq", -1); // hasSubseq max to non-seq
testDegradeLayer(true, "max", "seq", -1); // hasSubseq max to seq
testDegradeLayer(false,
"max",
"non-seq",
5); // seq max to a shorten seq, stride window = 5
testDegradeLayer(true, "max", "non-seq", -1); // hasSubseq max to non-seq
testDegradeLayer(true, "max", "seq", -1); // hasSubseq max to seq
}
TEST(Layer, SequenceLastInstanceLayer) {
......@@ -868,6 +872,10 @@ TEST(Layer, SequenceLastInstanceLayer) {
TEST(Layer, AverageLayer) {
testDegradeLayer(false, "average", "non-seq", -1); // seq average to non-seq
testDegradeLayer(false,
"average",
"non-seq",
5); // seq average to a shorten seq, stride window = 5
testDegradeLayer(
true, "average", "non-seq", -1); // hasSubseq average to non-seq
testDegradeLayer(true, "average", "seq", -1); // hasSubseq average to seq
......@@ -1661,6 +1669,8 @@ TEST(Layer, PadLayer) {
TEST(Layer, CrossChannelNormLayer) {
TestConfig config;
config.paramInitialMean = 1.;
config.paramInitialStd = 0.;
config.layerConfig.set_type("norm");
config.layerConfig.set_size(100);
LayerInputConfig* input = config.layerConfig.add_inputs();
......@@ -1674,7 +1684,7 @@ TEST(Layer, CrossChannelNormLayer) {
config.inputDefs.push_back({INPUT_DATA, "layer_0", 100, 10});
for (auto useGpu : {false, true}) {
testLayerGrad(config, "cross-channel-norm", 10, false, useGpu, false, 5);
testLayerGrad(config, "cross-channel-norm", 10, false, useGpu, false);
}
}
......
......@@ -561,7 +561,7 @@ void Argument::degradeSequence(const Argument& input) {
void Argument::poolSequenceWithStride(const Argument& input,
size_t stride,
IVectorPtr* stridePostions,
ICpuGpuVectorPtr* stridePostions,
bool reversed) {
// If input.sequenceStartPositions = [0, 9, 14, 17, 30] and stride = 5,
// then sequenceStartPositions = [0, 2, 3, 4, 7].
......@@ -598,8 +598,8 @@ void Argument::poolSequenceWithStride(const Argument& input,
stridePos.emplace_back(starts[numSequences]);
int size = stridePos.size();
CHECK_EQ(size - 1, tgtBuf[numSequences]);
IVector::resizeOrCreate(*stridePostions, size, false);
(*stridePostions)->copyFrom(stridePos.data(), size);
ICpuGpuVector::resizeOrCreate(*stridePostions, size, false);
(*stridePostions)->getMutableVector(false)->copyFrom(stridePos.data(), size);
}
void Argument::getValueString(
......
......@@ -299,7 +299,7 @@ struct Argument {
*/
void poolSequenceWithStride(const Argument& input,
size_t stride,
IVectorPtr* stridePositions,
ICpuGpuVectorPtr* stridePositions,
bool reversed = false);
/**
* @brief getValueString will return the argument's output in string. There
......
......@@ -31,7 +31,7 @@ TEST(Argument, poolSequenceWithStride) {
int strideResultReversed[] = {0, 4, 9, 14, 17, 20, 25, 30};
for (auto reversed : {false, true}) {
IVectorPtr stridePositions;
ICpuGpuVectorPtr stridePositions;
output.poolSequenceWithStride(
input, 5 /* stride */, &stridePositions, reversed);
......@@ -45,7 +45,7 @@ TEST(Argument, poolSequenceWithStride) {
CHECK_EQ(stridePositions->getSize(), 8UL);
auto result = reversed ? strideResultReversed : strideResult;
for (int i = 0; i < 8; i++) {
CHECK_EQ(stridePositions->getData()[i], result[i]);
CHECK_EQ(stridePositions->getData(false)[i], result[i]);
}
}
}
......
......@@ -142,7 +142,7 @@ SocketServer::SocketServer(const std::string &addr, int port, int rdmaCpu)
}
/// trigger to initialize RDMA lib
PCHECK(RdmaClientDaemons::get()) << "initilizate RDMA failed\n";
CHECK(RdmaClientDaemons::get()) << "initilizate RDMA failed\n";
}
SocketServer::~SocketServer() {
......@@ -168,7 +168,7 @@ void SocketServer::tcpServer() {
/// First call to socket() function
socket_ = socket(AF_INET, SOCK_STREAM, 0);
PCHECK(socket_ >= 0) << "ERROR opening socket";
CHECK(socket_ >= 0) << "ERROR opening socket";
/// Initialize socket structure
bzero((char *)&serv_addr, sizeof(serv_addr));
......@@ -176,7 +176,7 @@ void SocketServer::tcpServer() {
serv_addr.sin_port = htons(port_);
if (!addr_.empty()) {
server = gethostbyname(addr_.c_str());
PCHECK(server) << "ERROR, no such host: " << addr_;
CHECK(server) << "ERROR, no such host: " << addr_;
bcopy((char *)server->h_addr,
(char *)&serv_addr.sin_addr.s_addr,
server->h_length);
......@@ -187,7 +187,7 @@ void SocketServer::tcpServer() {
setOption(socket_);
/// Now bind the host address using bind() call.
PCHECK(bind(socket_, (struct sockaddr *)&serv_addr, sizeof(serv_addr)) >= 0)
CHECK(bind(socket_, (struct sockaddr *)&serv_addr, sizeof(serv_addr)) >= 0)
<< "ERROR on binding " << addr_;
/// Now start listening for the clients, here process will
......@@ -201,7 +201,7 @@ void SocketServer::tcpServer() {
if (stopping_) {
break;
}
PCHECK(newsockfd >= 0) << "ERROR on accept";
CHECK(newsockfd >= 0) << "ERROR on accept";
constexpr int kPeerNameLen = 128;
char peerName[kPeerNameLen];
CHECK(inet_ntop(AF_INET, &cli_addr.sin_addr, peerName, kPeerNameLen));
......@@ -227,14 +227,14 @@ void SocketServer::rdmaServer() {
/// First call to socket() function
rdmaSocket_ = rdma::ssocket(rdmaCpu_);
PCHECK(rdmaSocket_) << "ERROR opening RDMA socket";
CHECK(rdmaSocket_) << "ERROR opening RDMA socket";
PCHECK(rdma::bind(rdmaSocket_, rdmaUri_.c_str()) == 0)
CHECK(rdma::bind(rdmaSocket_, rdmaUri_.c_str()) == 0)
<< "ERROR bind RDMA socket";
/// Now start listening for the clients, here process will
/// go in sleep mode and will wait for the incoming connection
PCHECK(rdma::listen(rdmaSocket_) == 0) << "ERROR listen RDMA socket";
CHECK(rdma::listen(rdmaSocket_) == 0) << "ERROR listen RDMA socket";
while (true) {
/// Accept actual connection from the client
......@@ -242,7 +242,7 @@ void SocketServer::rdmaServer() {
if (stopping_) {
break;
}
PCHECK(newsock) << "ERROR on accept";
CHECK(newsock) << "ERROR on accept";
constexpr int kPeerNameLen = 128;
char peerName[kPeerNameLen];
......@@ -290,7 +290,7 @@ RdmaClientDaemons::RdmaClientDaemons() {
onlineCpus_ = rdma::numCpus();
for (auto i = 0; i < onlineCpus_; i++) {
socket = rdma::csocket(i);
PCHECK(socket) << "ERROR open client socket daemon";
CHECK(socket) << "ERROR open client socket daemon";
rdmaClientSocket_.push_back(socket);
}
......@@ -355,7 +355,7 @@ void SocketClient::TcpClient(const std::string &serverAddr, int serverPort) {
/// Create a socket point
int sockfd = socket(AF_INET, SOCK_STREAM, 0);
PCHECK(sockfd >= 0) << "ERROR opening socket";
CHECK(sockfd >= 0) << "ERROR opening socket";
#if defined(__OSX__) || defined(__APPLE__)
server = getipnodebyname(serverAddr.c_str(), AF_INET, AI_DEFAULT, &errRet);
......@@ -396,8 +396,8 @@ void SocketClient::TcpClient(const std::string &serverAddr, int serverPort) {
}
std::this_thread::sleep_for(std::chrono::seconds(1));
} else {
PCHECK(errno != 0) << "ERROR connecting to " << serverAddr << ":"
<< serverPort << "errorno: " << errno;
CHECK(errno != 0) << "ERROR connecting to " << serverAddr << ":"
<< serverPort << "errorno: " << errno;
}
} while (errno == ECONNREFUSED);
......@@ -426,7 +426,7 @@ void SocketClient::RdmaClient(const std::string &serverAddr, int serverPort) {
/// connect to server with socket daemon
sock = rdma::connect(socketDaemon_, rdmaUri.c_str());
PCHECK(sock) << "ERROR connect to server" << rdmaUri;
CHECK(sock) << "ERROR connect to server" << rdmaUri;
std::vector<std::string> seg;
str::split(rdmaUri, '/', &seg);
......
......@@ -51,7 +51,7 @@ size_t SocketChannel::read(void* buf, size_t size) {
else
len = rdma::read(rdmaSocket_, (char*)buf + total, size - total);
PCHECK(len >= 0) << " peer=" << peerName_;
CHECK(len >= 0) << " peer=" << peerName_;
if (len <= 0) {
return total;
}
......@@ -69,7 +69,7 @@ size_t SocketChannel::write(const void* buf, size_t size) {
else
len = rdma::write(rdmaSocket_, (char*)buf + total, size - total);
PCHECK(len >= 0) << " peer=" << peerName_;
CHECK(len >= 0) << " peer=" << peerName_;
if (len <= 0) {
return total;
}
......@@ -98,10 +98,10 @@ static size_t readwritev(IOFunc iofunc,
while (size < total) {
ssize_t len =
iofunc(socket, &iovs[curIov], std::min(iovcnt - curIov, maxiovs));
PCHECK(len > 0) << " peer=" << peerName << " curIov=" << curIov
<< " iovCnt=" << iovcnt
<< " iovs[curIov].base=" << iovs[curIov].iov_base
<< " iovs[curIov].iov_len=" << iovs[curIov].iov_len;
CHECK(len > 0) << " peer=" << peerName << " curIov=" << curIov
<< " iovCnt=" << iovcnt
<< " iovs[curIov].base=" << iovs[curIov].iov_base
<< " iovs[curIov].iov_len=" << iovs[curIov].iov_len;
size += len;
/// restore iovs[curIov] to the original value
......@@ -183,7 +183,7 @@ void SocketChannel::writeMessage(const std::vector<struct iovec>& userIovs) {
header.totalLength += iov.iov_len;
}
PCHECK(writev(iovs) == (size_t)header.totalLength);
CHECK(writev(iovs) == (size_t)header.totalLength);
}
std::unique_ptr<MsgReader> SocketChannel::readMessage() {
......@@ -194,7 +194,7 @@ std::unique_ptr<MsgReader> SocketChannel::readMessage() {
return nullptr;
}
PCHECK(len == sizeof(header));
CHECK(len == sizeof(header));
std::unique_ptr<MsgReader> msgReader(new MsgReader(this, header.numIovs));
......@@ -209,7 +209,7 @@ std::unique_ptr<MsgReader> SocketChannel::readMessage() {
MsgReader::MsgReader(SocketChannel* channel, size_t numBlocks)
: channel_(channel), blockLengths_(numBlocks), currentBlockIndex_(0) {
size_t size = numBlocks * sizeof(blockLengths_[0]);
PCHECK(channel_->read(&blockLengths_[0], size) == size);
CHECK(channel_->read(&blockLengths_[0], size) == size);
}
void MsgReader::readBlocks(const std::vector<void*>& bufs) {
......@@ -223,12 +223,12 @@ void MsgReader::readBlocks(const std::vector<void*>& bufs) {
++currentBlockIndex_;
}
PCHECK(channel_->readv(&iovs) == totalLength);
CHECK(channel_->readv(&iovs) == totalLength);
}
void MsgReader::readNextBlock(void* buf) {
CHECK_LT(currentBlockIndex_, blockLengths_.size());
PCHECK(channel_->read(buf, getNextBlockLength()) == getNextBlockLength());
CHECK(channel_->read(buf, getNextBlockLength()) == getNextBlockLength());
++currentBlockIndex_;
}
......
......@@ -113,7 +113,7 @@ void SocketServer::run() {
/* First call to socket() function */
socket_ = socket(AF_INET, SOCK_STREAM, 0);
PCHECK(socket_ >= 0) << "ERROR opening socket";
CHECK(socket_ >= 0) << "ERROR opening socket";
/* Initialize socket structure */
bzero((char*)&serv_addr, sizeof(serv_addr));
......@@ -122,7 +122,7 @@ void SocketServer::run() {
serv_addr.sin_port = htons(port_);
/* Now bind the host address using bind() call.*/
PCHECK(bind(socket_, (struct sockaddr*)&serv_addr, sizeof(serv_addr)) >= 0)
CHECK(bind(socket_, (struct sockaddr*)&serv_addr, sizeof(serv_addr)) >= 0)
<< "ERROR on binding";
/* Now start listening for the clients, here process will
......@@ -134,7 +134,7 @@ void SocketServer::run() {
while (true) {
/* Accept actual connection from the client */
newsockfd = accept(socket_, (struct sockaddr*)&cli_addr, &clilen);
PCHECK(newsockfd >= 0) << "ERROR on accept";
CHECK(newsockfd >= 0) << "ERROR on accept";
SocketWorker* worker = new SocketWorker(newsockfd);
worker->start();
......@@ -146,17 +146,17 @@ void SocketWorker::run() {
while (true) {
int64_t n = channel_.readAll(&header, sizeof(header));
PCHECK(n == sizeof(header)) << "ERROR reading from socket";
CHECK(n == sizeof(header)) << "ERROR reading from socket";
buffer_.resize(header.dataLength);
n = channel_.readAll(&buffer_[0], header.dataLength);
PCHECK(n == header.dataLength) << "ERROR reading from socket";
CHECK(n == header.dataLength) << "ERROR reading from socket";
/* Write a response to the client */
n = channel_.writeAll(&header, sizeof(header));
PCHECK(n == sizeof(header)) << "ERROR reading from socket";
CHECK(n == sizeof(header)) << "ERROR reading from socket";
n = channel_.writeAll(buffer_.data(), buffer_.size());
PCHECK(n == header.dataLength) << "ERROR writing to socket";
CHECK(n == header.dataLength) << "ERROR writing to socket";
}
}
......@@ -177,9 +177,9 @@ SocketClient::SocketClient(const std::string& serverAddr, int serverPort) {
/* Create a socket point */
int sockfd = socket(AF_INET, SOCK_STREAM, 0);
PCHECK(sockfd >= 0) << "ERROR opening socket";
CHECK(sockfd >= 0) << "ERROR opening socket";
server = gethostbyname(serverAddr.c_str());
PCHECK(server) << "ERROR, no such host: " << serverAddr;
CHECK(server) << "ERROR, no such host: " << serverAddr;
bzero((char*)&serv_addr, sizeof(serv_addr));
serv_addr.sin_family = AF_INET;
......@@ -189,7 +189,7 @@ SocketClient::SocketClient(const std::string& serverAddr, int serverPort) {
serv_addr.sin_port = htons(serverPort);
/* Now connect to the server */
PCHECK(connect(sockfd, (sockaddr*)&serv_addr, sizeof(serv_addr)) >= 0)
CHECK(connect(sockfd, (sockaddr*)&serv_addr, sizeof(serv_addr)) >= 0)
<< "ERROR connecting";
channel_.reset(new SocketChannel(sockfd));
......@@ -234,18 +234,18 @@ int main(int argc, char** argv) {
cpuGrad.copyFrom(gpuGrad);
header.dataLength = dataSize;
PCHECK(channel->writeAll(&header, sizeof(header)) == sizeof(header))
CHECK(channel->writeAll(&header, sizeof(header)) == sizeof(header))
<< "Client write header error";
PCHECK(channel->writeAll(cpuGrad.getData(), dataSize) == dataSize)
CHECK(channel->writeAll(cpuGrad.getData(), dataSize) == dataSize)
<< "Client write data error";
/* Now read server response */
PCHECK(channel->readAll(&header, sizeof(header)) == sizeof(header))
CHECK(channel->readAll(&header, sizeof(header)) == sizeof(header))
<< "Client read header error";
CHECK_EQ((uint64_t)header.dataLength, dataSize);
PCHECK(channel->readAll(cpuParam.getData(), dataSize) == dataSize)
CHECK(channel->readAll(cpuParam.getData(), dataSize) == dataSize)
<< "Client read data error";
gpuParam.copyFrom(cpuParam);
......
......@@ -78,7 +78,7 @@ paddle version
# PaddlePaddle. This awkwardness is due to
# https://github.com/PaddlePaddle/Paddle/issues/1854. It also
# describes a solution.
if [ ${WITH_DOC} == "ON" ]; then
if [[ ${WITH_DOC} == "ON" ]]; then
cat <<EOF
========================================
Building documentation ...
......
......@@ -175,7 +175,7 @@ real Tester::forwardOneBatch(const DataBatch& dataBatch,
}
hl_stream_synchronize(HPPL_STREAM_DEFAULT);
FILE* fp = fopen(featFile.c_str(), "ab+");
PCHECK(!ferror(fp)) << "Fail to open " << featFile;
CHECK(!ferror(fp)) << "Fail to open " << featFile;
size_t sampleNum = featMatrices[0]->getHeight();
for (size_t i = 0; i < sampleNum; ++i) {
......
......@@ -51,7 +51,7 @@ template <class T>
class ThreadLocal {
public:
ThreadLocal() {
PCHECK(pthread_key_create(&threadSpecificKey_, dataDestructor) == 0);
CHECK(pthread_key_create(&threadSpecificKey_, dataDestructor) == 0);
}
~ThreadLocal() { pthread_key_delete(threadSpecificKey_); }
......@@ -65,7 +65,7 @@ public:
if (!p && createLocal) {
p = new T();
int ret = pthread_setspecific(threadSpecificKey_, p);
PCHECK(ret == 0);
CHECK(ret == 0);
}
return p;
}
......@@ -79,7 +79,7 @@ public:
if (T* q = get(false)) {
dataDestructor(q);
}
PCHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
CHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
}
/**
......@@ -112,7 +112,7 @@ private:
template <class T>
class ThreadLocalD {
public:
ThreadLocalD() { PCHECK(pthread_key_create(&threadSpecificKey_, NULL) == 0); }
ThreadLocalD() { CHECK(pthread_key_create(&threadSpecificKey_, NULL) == 0); }
~ThreadLocalD() {
pthread_key_delete(threadSpecificKey_);
for (auto t : threadMap_) {
......@@ -127,7 +127,7 @@ public:
T* p = (T*)pthread_getspecific(threadSpecificKey_);
if (!p) {
p = new T();
PCHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
CHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
updateMap(p);
}
return p;
......@@ -141,7 +141,7 @@ public:
if (T* q = (T*)pthread_getspecific(threadSpecificKey_)) {
dataDestructor(q);
}
PCHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
CHECK(pthread_setspecific(threadSpecificKey_, p) == 0);
updateMap(p);
}
......
......@@ -2466,10 +2466,14 @@ class MaxLayer(LayerBase):
trans_type='non-seq',
bias=False,
output_max_index=None,
stride=-1,
**xargs):
super(MaxLayer, self).__init__(name, 'max', 0, inputs=inputs, **xargs)
config_assert(len(self.inputs) == 1, 'MaxLayer must have 1 input')
if trans_type == 'seq':
config_assert(stride == -1, 'subseq does not support stride window')
self.config.trans_type = trans_type
self.config.seq_pool_stride = stride
for input_index in xrange(len(self.inputs)):
input_layer = self.get_input_layer(input_index)
self.set_layer_size(input_layer.size)
......@@ -2731,11 +2735,15 @@ class AverageLayer(LayerBase):
average_strategy='average',
trans_type='non-seq',
bias=False,
stride=-1,
**xargs):
super(AverageLayer, self).__init__(
name, 'average', 0, inputs=inputs, **xargs)
self.config.average_strategy = average_strategy
if trans_type == 'seq':
config_assert(stride == -1, 'subseq does not support stride window')
self.config.trans_type = trans_type
self.config.seq_pool_stride = stride
config_assert(len(inputs) == 1, 'AverageLayer must have 1 input')
for input_index in xrange(len(self.inputs)):
input_layer = self.get_input_layer(input_index)
......
......@@ -1246,10 +1246,19 @@ def pooling_layer(input,
name=None,
bias_attr=None,
agg_level=AggregateLevel.TO_NO_SEQUENCE,
stride=-1,
layer_attr=None):
"""
Pooling layer for sequence inputs, not used for Image.
If stride > 0, this layer slides a window whose size is determined by stride,
and return the pooling value of the window as the output. Thus, a long sequence
will be shorten.
The parameter stride specifies the intervals at which to apply the pooling
operation. Note that for sequence with sub-sequence, the default value
of stride is -1.
The example usage is:
.. code-block:: python
......@@ -1268,6 +1277,8 @@ def pooling_layer(input,
:param pooling_type: Type of pooling, MaxPooling(default), AvgPooling,
SumPooling, SquareRootNPooling.
:type pooling_type: BasePoolingType|None
:param stride: The step size between successive pooling regions.
:type stride: Int
:param bias_attr: Bias parameter attribute. False if no bias.
:type bias_attr: ParameterAttribute|None|False
:param layer_attr: The Extra Attributes for layer, such as dropout.
......@@ -1285,12 +1296,16 @@ def pooling_layer(input,
extra_dict['output_max_index'] = pooling_type.output_max_index
extra_dict.update(ExtraLayerAttribute.to_kwargs(layer_attr))
if agg_level == AggregateLevel.TO_SEQUENCE:
assert stride == -1
Layer(
name=name,
type=pooling_type.name,
inputs=[Input(input.name)],
bias=ParamAttr.to_bias(bias_attr),
trans_type=agg_level,
stride=stride,
**extra_dict)
return LayerOutput(
......@@ -1552,7 +1567,7 @@ def last_seq(input,
:type name: basestring
:param input: Input layer name.
:type input: LayerOutput
:param stride: window size.
:param stride: The step size between successive pooling regions.
:type stride: Int
:param layer_attr: extra layer attributes.
:type layer_attr: ExtraLayerAttribute.
......@@ -1608,7 +1623,7 @@ def first_seq(input,
:type name: basestring
:param input: Input layer name.
:type input: LayerOutput
:param stride: window size.
:param stride: The step size between successive pooling regions.
:type stride: Int
:param layer_attr: extra layer attributes.
:type layer_attr: ExtraLayerAttribute.
......
......@@ -14,6 +14,7 @@ layers {
input_layer_name: "dat_in"
}
trans_type: "seq"
seq_pool_stride: -1
}
layers {
name: "__seq_pooling_1__"
......@@ -24,6 +25,7 @@ layers {
input_layer_name: "dat_in"
}
trans_type: "non-seq"
seq_pool_stride: -1
}
layers {
name: "__seq_pooling_2__"
......@@ -35,6 +37,7 @@ layers {
}
average_strategy: "average"
trans_type: "seq"
seq_pool_stride: -1
}
layers {
name: "__seq_pooling_3__"
......@@ -46,6 +49,7 @@ layers {
}
average_strategy: "average"
trans_type: "non-seq"
seq_pool_stride: -1
}
layers {
name: "__seq_pooling_4__"
......@@ -57,6 +61,7 @@ layers {
}
average_strategy: "sum"
trans_type: "seq"
seq_pool_stride: -1
}
layers {
name: "__seq_pooling_5__"
......@@ -68,6 +73,7 @@ layers {
}
average_strategy: "sum"
trans_type: "non-seq"
seq_pool_stride: -1
}
layers {
name: "__seq_pooling_6__"
......@@ -77,8 +83,44 @@ layers {
inputs {
input_layer_name: "dat_in"
}
trans_type: "non-seq"
seq_pool_stride: 5
}
layers {
name: "__seq_pooling_7__"
type: "average"
size: 100
active_type: ""
inputs {
input_layer_name: "dat_in"
}
average_strategy: "average"
trans_type: "non-seq"
seq_pool_stride: 5
}
layers {
name: "__seq_pooling_8__"
type: "average"
size: 100
active_type: ""
inputs {
input_layer_name: "dat_in"
}
average_strategy: "sum"
trans_type: "non-seq"
seq_pool_stride: 5
}
layers {
name: "__seq_pooling_9__"
type: "max"
size: 100
active_type: ""
inputs {
input_layer_name: "dat_in"
}
output_max_index: true
trans_type: "non-seq"
seq_pool_stride: -1
}
input_layer_names: "dat_in"
output_layer_names: "__seq_pooling_0__"
......@@ -88,6 +130,9 @@ output_layer_names: "__seq_pooling_3__"
output_layer_names: "__seq_pooling_4__"
output_layer_names: "__seq_pooling_5__"
output_layer_names: "__seq_pooling_6__"
output_layer_names: "__seq_pooling_7__"
output_layer_names: "__seq_pooling_8__"
output_layer_names: "__seq_pooling_9__"
sub_models {
name: "root"
layer_names: "dat_in"
......@@ -98,6 +143,9 @@ sub_models {
layer_names: "__seq_pooling_4__"
layer_names: "__seq_pooling_5__"
layer_names: "__seq_pooling_6__"
layer_names: "__seq_pooling_7__"
layer_names: "__seq_pooling_8__"
layer_names: "__seq_pooling_9__"
input_layer_names: "dat_in"
output_layer_names: "__seq_pooling_0__"
output_layer_names: "__seq_pooling_1__"
......@@ -106,6 +154,9 @@ sub_models {
output_layer_names: "__seq_pooling_4__"
output_layer_names: "__seq_pooling_5__"
output_layer_names: "__seq_pooling_6__"
output_layer_names: "__seq_pooling_7__"
output_layer_names: "__seq_pooling_8__"
output_layer_names: "__seq_pooling_9__"
is_recurrent_layer_group: false
}
......@@ -14,6 +14,14 @@ for pt in POOL_TYPE:
for al in AGG_LEVEL:
opts.append(pooling_layer(input=din, agg_level=al, pooling_type=pt()))
for pt in POOL_TYPE:
opts.append(
pooling_layer(
input=din,
agg_level=AggregateLevel.TO_NO_SEQUENCE,
pooling_type=pt(),
stride=5))
opts.append(
pooling_layer(
input=din, pooling_type=MaxPooling(output_max_index=True)))
......
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