[I] [BUG] Tensor intrinsic dtype mismatch compiling quantized depthwise convolution on `arm_cpu` target [tvm]

["lhutton1 (via GitHub)" <gi...@apache.org>]

lhutton1 opened a new issue, #16533:
URL: https://github.com/apache/tvm/issues/16533

   #### Expected behaviour:
   When an `arm_cpu` target is used, the model should compile successfully without an error.
   
   #### Actual behaviour:
   When an `arm_cpu` target is used, the model fails to compile during tensorization
   ```
   E           at /workspaces/tvm/src/tvm/src/te/operation/tensorize.cc:334
   E     File "/workspaces/tvm/src/tvm/src/te/operation/tensorize.cc", line 334
   E   TVMError: Failed to match the data type with TensorIntrin tensor_intrin's declaration  provided=int64, intrin=int32
   ```
   
   #### How to reproduce:
   Run the test `pytest tests/python/frontend/tflite/test_forward.py -k test_forward_quantized_depthwise_convolution`
   with an `arm_cpu` target. Note: Reminder to remove any skip condition that exists in the test currently.
   
   Likely the schedule selection in `relay/strategy/arm_cpu.py` needs to check compatibility of the output data type before adding the schedule to the strategy.
   


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