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Passing dilation argument to account for API change. #3510

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Jul 9, 2019
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Passing dilation argument to account for API change. #3510

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4 changes: 2 additions & 2 deletions topi/recipe/conv/test_conv_int8_intel.py
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Expand Up @@ -112,8 +112,8 @@ def run_inference(data_dtype, kernel_dtype, out_dtype, im_height, im_width, in_f

with tvm.target.create(TARGET_NAME):
conv = topi.nn.conv2d_NCHWc(data, kernel, stride=hstride,
padding=hpad, layout='NCHWc',
out_layout='NCHWc', out_dtype=out_dtype)
padding=hpad, dilation=(1, 1),
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@shoubhik shoubhik Jul 8, 2019

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is dilation=(1,1) not already a default value in the topi.nn.conv2d_NCHWc API? if not should it be?

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@anijain2305 anijain2305 Jul 8, 2019

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This is a low-level topi operator and not the Relay operator. Relay operator has dilation default arguments which will be passed on to TOPI, if dilation was not provided in the framework graph. So, I think not having a default here is fine.

layout='NCHWc', out_layout='NCHWc', out_dtype=out_dtype)
out = topi.nn.relu(conv)
sch = tvm.create_schedule(out.op)
func = tvm.build(sch, [data, kernel, out], target=TARGET_NAME, name='out')
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