FrozenGene edited a comment on issue #5230: Adding support for TFLite QnnSubtract operator. URL: https://github.com/apache/incubator-tvm/pull/5230#issuecomment-611310639 > Thanks for the reply. Can you please share what two things we are comparing? I am still confused. Please let me know example of input shape, depth multiplier, groups etc. I leverage this issue https://github.com/tensorflow/tensorflow/issues/23563 we talked about. For example we feed the input (1, 224, 224, 1)，in our tensorflow we have convolution to handle it. i.e. `input -> convolution`. However, the tflite will change the convolution into depthwise convolution with multiplier greater than 1, the input channel will be 1. Like this picture of tensorflow issue:  I suspect if we don't change to depthwise convolution with multiplier greater than 1 and keep the original convolution, like this:  We could get better performance.
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