[GitHub] [singa] dcslin commented on issue #634: cannot do matmul for high-dim tensors

[GitBox <gi...@apache.org>]

dcslin commented on issue #634: cannot do matmul for high-dim tensors
URL: https://github.com/apache/singa/issues/634#issuecomment-603190533
 
 
   Hi @joddiy , for tensor mul >2d, please use `tensor.tensordot`, it depends on which axis to perform the `tensordot`
   ```python
       def test_4d_tensor_dot(self):
           for dev in [cpu_dev, gpu_dev]:
               x1 = np.random.randn(1, 12, 256, 64).astype(np.float32)
               x2 = np.random.randn(1, 12, 64, 256).astype(np.float32)
               x1 = tensor.from_numpy(x1)
               x1.to_device(dev)
               x2 = tensor.from_numpy(x2)
               x2.to_device(dev)
   
               y = tensor.tensordot(x1, x2, axes=([3],[2]))
               print(y.shape)
   
               y = tensor.tensordot(x1, x2, axes=([2,3],[3,2]))
               print(y.shape)
   
   ```
   output:
   ```
   (1, 12, 256, 1, 12, 256)
   (1, 12, 1, 12)
   (1, 12, 256, 1, 12, 256)
   (1, 12, 1, 12)
   ...........................
   ----------------------------------------------------------------------
   Ran 27 tests in 0.121s
   
   OK
   ```
   
   reference: https://docs.scipy.org/doc/numpy/reference/generated/numpy.tensordot.html

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