ymwangg commented on a change in pull request #8607:
URL: https://github.com/apache/tvm/pull/8607#discussion_r681275178
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File path: python/tvm/relay/frontend/onnx.py
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@@ -770,10 +770,8 @@ def flatten_to_nd(x, x_shape, nd=3):
# Convert a and b into 3 dimensional tensors.
a = flatten_to_nd(inputs[0], a_shape, 3)
b = flatten_to_nd(inputs[1], b_shape, 3)
- # Transpose matrix dimensions of b.
- b = _op.transpose(b, [0, 2, 1])
# Perform a batch matmul.
- output = _op.nn.batch_matmul(a, b)
+ output = _op.nn.batch_matmul(a, b, transpose_b=False)
Review comment:
@jcf94 Thanks for the pointer. I will refactor to make NN optional.
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