I have my own trained model with ssd_mobilenet_v2_fn.
And then, I tried both of tensorflow-onnx-trt and tensorflow-uff-trt, but all not working.
In stage of onnx-trt and uff-trt, it gives error.
I am using it on Jetson Xavier now
Can you give me help?
def build_engine():
flag = 1 << int(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH)
“”“Takes an ONNX file and creates a TensorRT engine to run inference with”""
with trt.Builder(TRT_LOGGER) as builder, builder.create_network(flag) as network, trt.OnnxParser(network, TRT_LOGGER) as parser:
builder.max_workspace_size = 1 << 28 # 256MiB
builder.max_batch_size = 1
Parse model file
print(‘Loading ONNX file from path {}…’.format(onnx_file_path))
with open(onnx_file_path, ‘rb’) as model:
print(‘Beginning ONNX file parsing’)
parser.parse(model.read())
print(‘Completed parsing of ONNX file’)
print(‘Building an engine from file {}; this may take a while…’.format(onnx_file_path))
engine = builder.build_cuda_engine(network)
print(“Completed creating Engine”)
with open(engine_file_path, “wb”) as f:
f.write(engine.serialize())
return engine
Hello, I am using this script to convert onnx into trt engine for ssd mobilenet model.
And then, I have the following error.
Beginning ONNX file parsing
[TensorRT] ERROR: Parameter check failed at: …/builder/Network.cpp::addInput::671, condition: isValidDims(dims, hasImplicitBatchDimension())
Completed parsing of ONNX file
Building an engine from file ssd_mobilenet_v2_coco_2018_03_29/model_edit.onnx; this may take a while…
[TensorRT] ERROR: Network must have at least one output
Completed creating Engine
Traceback (most recent call last):
File “onnx_runtime_pretrained.py”, line 87, in
engine = get_engine(onnx_file_path, engine_file_path)
File “onnx_runtime_pretrained.py”, line 82, in get_engine
return build_engine()
File “onnx_runtime_pretrained.py”, line 78, in build_engine
f.write(engine.serialize())
AttributeError: ‘NoneType’ object has no attribute ‘serialize’
What is wrong?
I tried with many articles related to that, but not working.
Could you please give me detailed help directly here?
I appreciate for that.
I have my own trained model with ssd_mobilenet_v2_fn. And then, I tried both of tensorflow-onnx-trt and tensorflow-uff-trt, but all not working. In stage of onnx-trt and uff-trt, it gives error. I am using it on Jetson Xavier now Can you give me help?
https://we.tl/t-MOTEiS4V8E
def build_engine(): flag = 1 << int(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH) “”“Takes an ONNX file and creates a TensorRT engine to run inference with”"" with trt.Builder(TRT_LOGGER) as builder, builder.create_network(flag) as network, trt.OnnxParser(network, TRT_LOGGER) as parser: builder.max_workspace_size = 1 << 28 # 256MiB builder.max_batch_size = 1
Parse model file
print(‘Loading ONNX file from path {}…’.format(onnx_file_path)) with open(onnx_file_path, ‘rb’) as model: print(‘Beginning ONNX file parsing’) parser.parse(model.read()) print(‘Completed parsing of ONNX file’) print(‘Building an engine from file {}; this may take a while…’.format(onnx_file_path)) engine = builder.build_cuda_engine(network) print(“Completed creating Engine”) with open(engine_file_path, “wb”) as f: f.write(engine.serialize()) return engine Hello, I am using this script to convert onnx into trt engine for ssd mobilenet model. And then, I have the following error.
Beginning ONNX file parsing [TensorRT] ERROR: Parameter check failed at: …/builder/Network.cpp::addInput::671, condition: isValidDims(dims, hasImplicitBatchDimension()) Completed parsing of ONNX file Building an engine from file ssd_mobilenet_v2_coco_2018_03_29/model_edit.onnx; this may take a while… [TensorRT] ERROR: Network must have at least one output Completed creating Engine Traceback (most recent call last): File “onnx_runtime_pretrained.py”, line 87, in engine = get_engine(onnx_file_path, engine_file_path) File “onnx_runtime_pretrained.py”, line 82, in get_engine return build_engine() File “onnx_runtime_pretrained.py”, line 78, in build_engine f.write(engine.serialize()) AttributeError: ‘NoneType’ object has no attribute ‘serialize’
What is wrong? I tried with many articles related to that, but not working. Could you please give me detailed help directly here? I appreciate for that.