huajsj commented on a change in pull request #4887: [VTA] YoloV3 Support
URL: https://github.com/apache/incubator-tvm/pull/4887#discussion_r384730458
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File path: vta/python/vta/top/graphpack.py
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@@ -55,6 +57,46 @@ def _unpack_batch_channel(data, old_shape):
return data
+def _const_shape_match(data, dshape, cfactor_out):
+ """ Pad the constant if the shape[0] not divisible by cfactor_out.
+ """
+ pad_width = int(dshape[0]) % cfactor_out
+ if pad_width != 0:
+ pad_width = cfactor_out -pad_width
+ data = op.nn.pad(data, [[0, pad_width], [0, 0], [0, 0]])
+ dshape = tuple([dshape[0] + pad_width, dshape[1], dshape[2]])
+ return data, dshape
+
+def _weight_shape_match(data, dshape, channels, cfactor_out, transpose=False):
+ """ Pad the weight if the shape[0] not divisible by cfactor_out.
+ """
+ pad_width = int(dshape[0]) % cfactor_out
+ channels_pad = int(channels) % cfactor_out
+ if pad_width != 0:
+ pad_width = cfactor_out - pad_width
+ data = op.nn.pad(data, [[0, pad_width], [0, 0], [0, 0], [0, 0]])
+ dshape = tuple([dshape[0] + pad_width, dshape[1], dshape[2],
dshape[3]])
+
+ if channels_pad != 0:
+ channels = channels + (cfactor_out - channels_pad)
+
+ return data, dshape, channels
+
+def _weight_shape_match_transpose(data, dshape, channels, cfactor_out):
+ """ Pad the weight if the shape[1] not divisible by cfactor_out.
Review comment:
fixed.
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