[GitHub] [incubator-tvm] FrozenGene commented on a change in pull request #4277: [ARM][Topi] Improving Int8 Perf in Spatial Conv2D schedule.

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FrozenGene commented on a change in pull request #4277: [ARM][Topi] Improving Int8 Perf in Spatial Conv2D schedule.
URL: https://github.com/apache/incubator-tvm/pull/4277#discussion_r344559034
 
 

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 File path: topi/python/topi/arm_cpu/conv2d_spatial_pack.py
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 @@ -93,24 +93,35 @@ def conv2d_spatial_pack_nchw(cfg, data, kernel, strides, padding, dilation,
     ovshape = (N, CO // VC, OH // VH, OW // VW, VH, VW, VC)
     oshape = (N, CO, OH, OW)
 
+    # For Integer convs, upcasting to int16 leads to faster implementation
+    # because LLVM is able to better interleave vmlal.s16 and vldr instructions,
+    # leading to higher CPU utilization.
+    adjusted_dtype = data.dtype
+    if 'int8' in data.dtype and 'int8' in kernel.dtype and out_dtype == 'int32':
 
 Review comment:
   should cover uint8?

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