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Posted to dev@singa.apache.org by GitBox <gi...@apache.org> on 2020/03/25 04:50:16 UTC
[GitHub] [singa] joddiy edited a comment on issue #634: cannot do matmul for
high-dim tensors
joddiy edited a comment on issue #634: cannot do matmul for high-dim tensors
URL: https://github.com/apache/singa/issues/634#issuecomment-603638731
Hi, shicong, according to the np's definition, the matmul for high-dim matrix should be:
```python3
x1 = np.random.randn(1, 12, 256, 64).astype(np.float32)
x2 = np.random.randn(1, 12, 64, 256).astype(np.float32)
print(np.matmul(x1, x2).shape)
```
Output:
> (1, 12, 256, 256)
Actually, it does the matmul for (256, 64) * (64, 256) for all cells of the first two axes (1, 12).
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