Hi , I have facing one problem , I’m running the “Compile Tensorflow Models” tutorial demo code, it’s okay with the given model which is InceptionV1 from “https://github.com/dmlc/web-data/tree/master/tensorflow/models/InceptionV1” , But when I test my model which is InceptionV4, it brings Error as follow:
nnvm._base.NNVMError: Error in operator prefix/InceptionV4/Logits/PreLogitsFlatten/flatten/Reshape: [09:00:52] /tvm/nnvm/src/top/tensor/transform.cc:649: Check failed: in_attrs->at(0).Size() == in_attrs->at(1).Size() (1536 vs. 2) Reshape inputs size should be compatible
The inputs of reshape op with shapes (1,1,1,1536) and 2
output shape is (?,?)
Could you please tell why did the error happened?
Please refer.
Cross Ref.
The explanation here slightly slippery, feel free to ask if not clear.
Above shape incompatibility is due usage of reshape_like instead of reshape as a fallback.
Using reshape_like was an old approach where the Shape operator was a bypass.
Recent changes of for Shape operator converts Shape output to a parameter.
Current open PR handles a case where Shape is already a param but there are few ops between Shape param and Reshape input. Hence we infer the shape param here by running a sub graph on Reshape argument.
1 Like
Thank you for your reply, it takes me much time to understand what happened in there.
I’m still kind of confused of this , My original Reshape input are [1,1,1,1536] and [1,-1], if reshape_like require the size of them should be compatible. How do I to change the [1,-1] ?
It’s reshape we call here not reshape_like.
-1 indicate to auto compute the shape. In this case source size if 1536, hence the output shape for [1, -1] becomes [1, 1536].
1 Like