Open starsky opened 3 years ago
It seems to me that the shape of the input is represented as sympy expression, but it is not handled well by the converter.
I am facing the same issue with Adaptive pooling. Is there a fix for this?
This is still an issue in coremltools 6.0
The issues:
EnumeratedShapes
with adaptive pooling when output shape is shape is bigger than (1,1)Trace
In the case of adaptive pooling what we require is output tensor size eg.
(2,2)
and the kernel size, stride etc. should be computed based on input tensor size. But when I run the conversion I get the following error:It seems to me that the shape of the input is represented as
sympy
expression, but it is not handled well by the converter.To Reproduce
You can see, that in this example I try to convert a simple model which consists of the single adaptive pooling operation.
System environment (please complete the following information):