Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add support for explicit batch for all models #1522

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions c/tensorNet.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -621,7 +621,7 @@ bool tensorNet::ProfileModel(const std::string& deployFile, // name for caf
//parser->destroy();
}
#if NV_TENSORRT_MAJOR >= 5
else if( mModelType == MODEL_ONNX )
else if( inputDims[0].nbDims == 4 )
{
#if NV_TENSORRT_MAJOR >= 7
network->destroy();
Expand Down Expand Up @@ -714,7 +714,7 @@ bool tensorNet::ProfileModel(const std::string& deployFile, // name for caf
nvinfer1::Dims dims = network->getInput(i)->getDimensions();

#if NV_TENSORRT_MAJOR >= 7
if( mModelType == MODEL_ONNX )
if( dims.nbDims == 4 )
dims = shiftDims(dims); // change NCHW to CHW for EXPLICIT_BATCH
#endif

Expand Down Expand Up @@ -1100,15 +1100,15 @@ bool tensorNet::LoadNetwork( const char* prototxt_path_, const char* model_path_
}
else if( model_fmt == MODEL_ENGINE )
{
mModelType = model_fmt;
mModelPath = model_path;

if( !LoadEngine(model_path.c_str(), input_blobs, output_blobs, NULL, device, stream) )
{
LogError(LOG_TRT "failed to load %s\n", model_path.c_str());
return false;
}

mModelType = model_fmt;
mModelPath = model_path;

LogSuccess(LOG_TRT "device %s, initialized %s\n", deviceTypeToStr(device), mModelPath.c_str());
return true;
}
Expand Down Expand Up @@ -1385,7 +1385,7 @@ bool tensorNet::LoadEngine( nvinfer1::ICudaEngine* engine,
nvinfer1::Dims inputDims = validateDims(engine->getBindingDimensions(inputIndex));

#if NV_TENSORRT_MAJOR >= 7
if( mModelType == MODEL_ONNX )
if( inputDims.nbDims == 4 )
inputDims = shiftDims(inputDims); // change NCHW to CHW if EXPLICIT_BATCH set
#endif
#else
Expand Down Expand Up @@ -1449,7 +1449,7 @@ bool tensorNet::LoadEngine( nvinfer1::ICudaEngine* engine,
nvinfer1::Dims outputDims = validateDims(engine->getBindingDimensions(outputIndex));

#if NV_TENSORRT_MAJOR >= 7
if( mModelType == MODEL_ONNX )
if( outputDims.nbDims == 4 )
outputDims = shiftDims(outputDims); // change NCHW to CHW if EXPLICIT_BATCH set
#endif
#else
Expand Down