Revert tensor names to torch 1.10.2 in CorrdConvAC sample

Signed-off-by: Rajeev Rao <rajeevrao@nvidia.com>

Author: rajeevsrao

requirements.txt

@@ -1,10 +1,12 @@
-onnx==1.9.0; (platform_machine=="x86_64" and sys.platform=="linux")
-onnx==1.10.0; (platform_machine=="aarch64" and sys.platform=="linux")
+onnx==1.10.2
 tensorflow-gpu==2.5.1; (platform_machine=="x86_64" and sys.platform=="linux")
 onnxruntime==1.8.1
 -f https://download.pytorch.org/whl/cu113/torch_stable.html
 torch==1.10.2+cu113
+torchvision==0.11.3
 Pillow==8.3.2
 numpy
 pycuda<2021.1
 pytest
+--extra-index-url https://pypi.ngc.nvidia.com
+onnx-graphsurgeon

samples/sampleOnnxMnistCoordConvAC/modify_onnx_ac.py

@@ -57,11 +57,11 @@ def main():
     tmap = graph.tensors()
     # You can figure out the input and output tensors using Netron.
     inputs = [tmap["conv1"]]
-    outputs = [tmap["input"]]
+    outputs = [tmap["90"]]
     replace_with_coordconvac(graph, inputs, outputs)
 
-    inputs = [tmap["onnx::Cast_90"]]
-    outputs = [tmap["input.3"]]
+    inputs = [tmap["92"]]
+    outputs = [tmap["170"]]
     replace_with_coordconvac(graph, inputs, outputs)
 
     # Remove the now-dangling subgraph.