FrozenGene commented on issue #5230: Adding support for TFLite QnnSubtract operator. URL: https://github.com/apache/incubator-tvm/pull/5230#issuecomment-610737656 > @FrozenGene If we have C = 1, then depth wise conv becomes normal conv. There is nothing to accumulate across input channels basically. And depth_multiplier becomes equal to the number of output channels. What do you think? Is the change good with you? I think it is ok. I met this thing ever. That is when input channel is 1 (for example, gray image), we will get depthwise convolution of multiplier greater than 1 rather than normal convolution. Would you mind doing one performance comparison? I expect we could get better performance when we use normal convolution.
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