lhutton1 opened a new issue, #16536:
URL: https://github.com/apache/tvm/issues/16536
### Expected behaviour:
When an `arm_cpu` target is used, the model should compile successfully
without an error.
### Actual behaviour:
When compiled on an `arm_cpu` target, the models results in the following
error:
```
python/tvm/autotvm/task/topi_integration.py:165: in wrapper
node = topi_compute(cfg, *args)
python/tvm/topi/arm_cpu/conv2d.py:50: in conv2d_nchw_spatial_pack
return conv2d_spatial_pack_nchw(
def conv2d_spatial_pack_nchw(cfg, data, kernel, strides, padding, dilation,
out_dtype, num_tile):
"""compute define for Conv2d Spatial Pack with NCHW layout"""
out_dtype = out_dtype or data.dtype
N, CI, IH, IW = get_const_tuple(data.shape)
if isinstance(N, tvm.tir.Any):
N = tvm.te.size_var("n")
if not isinstance(IH, int) or not isinstance(IW, int):
> raise RuntimeError("ARM winograd conv2d doesn't support dynamic
input height or width.")
E RuntimeError: ARM winograd conv2d doesn't support dynamic input
height or width.
```
### Environment:
Tested with TVM at
https://github.com/apache/tvm/commit/6a3fadc0654ecf9557ffe08d24677684c96e80b0.
The issue was found as a result of the changes in
https://github.com/apache/tvm/pull/16513, however it can be reproduced without
as described below.
### How to reproduce:
Run the following tests:
- pytest tests/python/relay/test_any.py -k test_any_conv2d
with an `arm_cpu` target. Note: Reminder to remove any skip condition that
exists in the test currently.
-----------
Likely schedule selection in `relay/strategy/arm_cpu.py` needs to be fixed
not to select a schedule that doesn't support dynamic height/width.
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