When I build the onnx model, I performed the following optimizations:
with tvm.transform.PassContext(opt_level=3):
lib = relay.build_module.build(mod, target=target, params=params)
But after the program is executed to a certain position, there is no output
change in the terminal.
---------------------------------------------------------------------------------------------------------------------------------
[17:01:20] /home/guanyiliao/tvm/src/ir/transform.cc:412: Executing module pass
: InferType with opt level: 0
[17:01:20] /home/guanyiliao/tvm/src/relay/transforms/type_infer.cc:818:
tvm::relay::transform::InferType
[17:01:20] /home/guanyiliao/tvm/src/ir/transform.cc:412: Executing module pass
: RemoveUnusedFunctions with opt level: 1
[17:01:20] /home/guanyiliao/tvm/src/ir/transform.cc:412: Executing module pass
: ToBasicBlockNormalForm with opt level: 1
---------------------------------------------------------------------------------------------------------------------------------
But before that, I used some simple models (resnet50) and 224x224 input size is
no problem。
Now I tried to build an other complex model. At this time, the input became a
1080x1920 RGB image, and then I couldn’t continue to execute it.So this problem
is related to the model and the size of the input?
Is this thread-related? I see that the source code seems to use only single
thread. Can someone help me？
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