jcf94 commented on a change in pull request #8234:
URL: https://github.com/apache/tvm/pull/8234#discussion_r660226315
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File path: python/tvm/relay/op/nn/_nn.py
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@@ -1160,21 +1186,46 @@ def batch_flatten_shape_func(attrs, inputs, _):
@script
-def _dense_shape_func(data_shape, weight_shape):
+def _matmul_shape_func(data_shape, weight_shape, data_transposed,
weight_transposed):
out = output_tensor((data_shape.shape[0],), "int64")
for i in const_range(out.shape[0] - 1):
out[i] = data_shape[i]
- out[out.shape[0] - 1] = weight_shape[0]
+ if data_transposed:
+ out[out.shape[0] - 2] = out[out.shape[0] - 1]
+ out[out.shape[0] - 1] = weight_shape[0] if weight_transposed else
weight_shape[1]
Review comment:
Since the dimension of data tensor can be more than 2, this is the
simplest implementation to do so.
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