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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.dstack

mindspore.ops.dstack(inputs)

Stacks tensors along the third axis.

1-D tensors $(N,)$ should be reshaped to $(1,N,1)$. 2-D tensors $(M,N)$ should be reshaped to $(M,N,1)$ before concatenation.

Parameters

inputs (Union(List[Tensor], Tuple[Tensor])) – A sequence of tensors. The tensors must have the same shape along all but the third axis. 1-D or 2-D tensors must have the same shape.

Returns

Stacked Tensor, will be at least 3-D. The output shape is similar to the output of numpy.dstack() function.

Raises

• TypeError – If inputs is not tuple or list.

• ValueError – If inputs is empty.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> x1 = Tensor(np.arange(1, 7).reshape(2, 3))
>>> x2 = Tensor(np.arange(7, 13).reshape(2, 3))
>>> out = ops.dstack([x1, x2])
>>> print(out.asnumpy())
[[[ 1.  7.]
  [ 2.  8.]
  [ 3.  9.]]
 [[ 4. 10.]
  [ 5. 11.]
  [ 6. 12.]]]