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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