jcf94 commented on a change in pull request #8234:
URL: https://github.com/apache/tvm/pull/8234#discussion_r660225637
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File path: python/tvm/relay/op/nn/nn.py
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@@ -1471,6 +1471,47 @@ def bias_add(data, bias, axis=1):
return _make.bias_add(data, bias, axis)
+def matmul(data, weight, units=None, out_dtype="", data_transposed=False,
weight_transposed=False):
+ """Matmul operator.
+ Applies a linear transformation. The X & W can be transposed.
+
+ .. math::
+
+ `Y = X * W`
+
+ Parameters
+ ----------
+ data : tvm.relay.Expr
+ The input data to the operator,
+ of shape `(d_1, d_2, ..., d_n, units_in)` or `(d_1, d_2, ...,
units_in, d_n)`.
Review comment:
No, the input of matmul is supposed to be a multiple-dim tensor(not
limited to 2). This is copied from the original `nn.dense`.
Other frameworks like Pytorch also has such definition.
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