How can I convert NHWC to NCHW in python for deepstream-CodePudding

I have a TensorFlow Keras model which is stored in .pb format and from .pb format I am converting the model to .onnx format using the tf2onnx model

!python -m tf2onnx.convert --saved-model model.pb --output model.onnx

now after converting I see that my input layer is in NHWC format and I need to convert the same to NCHW, to achieve that I am using

!python -m tf2onnx.convert --saved-model model.pb --output model_3.onnx --inputs-as-nchw input0:0

which is still giving me the same output as NHWC I have to consume the above model in NVIDIA Deepstream which only accepts NCHW format.

I found this link which talks about the transpose of the input layer, but unfortunately, that is also not working. It would be really helpful if some experts can share their thoughts on how to convert NHWC to NCHW

CodePudding user response：

I found the solution. I had to take the latest code of tf2onnx.convert.from_keras. I took the main branch from tf2onnx

!pip install --force-reinstall  git https://github.com/onnx/tensorflow-onnx.git@main
!pip show tf2onnx
!pip freeze | grep tf2onnx

once that was done I was able to load the latest functionality and updated code at https://github.com/onnx/tensorflow-onnx/tree/e896723e410a59a600d1a73657f9965a3cbf2c3b .

Below is the code I used to convert my model from .pb to .onnx along with NHWC to NCHW.

# give the list of *inputs* which should be converted and returned *as nchw*
_INPUT = model.input.name

model_proto, external_tensor_storage = tf2onnx.convert.from_keras(model, inputs_as_nchw=[_INPUT])

The biggest catch about the above code was [_INPUT] which was suppose to be a list and I was able find this information in the test cases.