Fix flow_width

convert_to_onnx.py

@@ -20,18 +20,7 @@ if __name__ == '__main__':
 
 	t1 = torch.rand(1, 3, in_h, in_w)
 	t2 = torch.rand(1, 3, in_h, in_w)
-	flow_init = torch.rand(1, 2, in_h//2, in_w)
+	flow_init = torch.rand(1, 2, in_h//2, in_w//2)
-
-	# Export the model
-	# !! Needs Pytorch nightly until next release (1.12). Ref: https://github.com/pytorch/pytorch/pull/73760
-	torch.onnx.export(model,               
-	                  (t1_half, t2_half),
-	                  "crestereo_without_flow.onnx",   # where to save the model (can be a file or file-like object)
-	                  export_params=True,        # store the trained parameter weights inside the model file
-	                  opset_version=12,          # the ONNX version to export the model to
-	                  do_constant_folding=True,  # whether to execute constant folding for optimization
-	                  input_names = ['left', 'right'],   # the model's input names
-	                  output_names = ['output'])
 
 	# Export the model
 	torch.onnx.export(model,               
@@ -43,5 +32,17 @@ if __name__ == '__main__':
 	                  input_names = ['left', 'right','flow_init'],   # the model's input names
 	                  output_names = ['output'])
 
+	# # Export the model without init_flow (it takes a lot of time)
+	# # !! Needs Pytorch nightly until next release (1.12). Ref: https://github.com/pytorch/pytorch/pull/73760
+	# torch.onnx.export(model,               
+	#                   (t1_half, t2_half),
+	#                   "crestereo_without_flow.onnx",   # where to save the model (can be a file or file-like object)
+	#                   export_params=True,        # store the trained parameter weights inside the model file
+	#                   opset_version=12,          # the ONNX version to export the model to
+	#                   do_constant_folding=True,  # whether to execute constant folding for optimization
+	#                   input_names = ['left', 'right'],   # the model's input names
+	#                   output_names = ['output'])
+
+