yangjunpro commented on a change in pull request #5284: [Topi] Tensorcore
support for Conv3D
URL: https://github.com/apache/incubator-tvm/pull/5284#discussion_r407191106
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File path: python/tvm/relay/op/nn/_nn.py
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@@ -183,6 +193,42 @@ def alter_op_layout_conv3d(attrs, inputs, tinfos,
out_type):
"""Alternate the layout of conv3d"""
return topi.nn.conv3d_alter_layout(attrs, inputs, tinfos, out_type)
[email protected]_convert_op_layout("nn.conv3d")
+def convert_conv3d(attrs, inputs, tinfos, desired_layout):
+ """Convert Layout pass registration for conv3d op.
+
+ Parameters
+ ----------
+ attrs : tvm.ir.Attrs
+ Attributes of current convolution
+ inputs : list of tvm.relay.Expr
+ The args of the Relay expr to be legalized
+ tinfos : list of types
+ List of input and output types
+ desired_layout : str
+ The desired layout
+
+ Returns
+ -------
+ result : tvm.relay.Expr
+ The transformed expr
+ """
+ # pylint: disable=import-outside-toplevel
+ from tvm import relay
+ data, weight = inputs
+ new_attrs = dict(attrs)
+ if desired_layout == 'NCDHW':
+ new_attrs['data_layout'] = desired_layout
Review comment:
Better to move the common attribute assignment out of the if/elif branches.
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