Describe the bug
After successfully converting a tensorflow frozen graph(.pb) into a .oonx model, I encountered a warning while inferring the onnx model with onnxruntime-gpu in python.
The warning says conv2d_transpose op is not supported because it requires asymmetric padding which the CUDA EP currently does not support.

But it's strange that I found ConvTranspose is in Supported ONNX Operators and it seems the asymmetric padding issue is already solved.

System information

• OS Platform and Distribution:Linux Ubuntu 20.04
• ONNX Runtime installed from: pip install onnxruntime-gpu
• ONNX Runtime version: 1.10.0
• Python version: 3.6
• CUDA/cuDNN version: 11.3/8.2.1
• Tensorflow Version: 1.15
• opset: 13

Expected behavior
conv2d_transpose has been supported.

Screenshots

Additional context
I found tf.nn.conv2d_transpose has been tested in tensorflow-onnx with padding="VALID",while I use padding="SAME".
https://github.com/onnx/tensorflow-onnx/blob/f64772ce166ea2a0402524d9741b2fb71e5663df/tests/test_backend.py#L579-L590