| Takes a shape and data tensor and reshapes
| it
|
| Reshape the input tensor similar to
| numpy’s
reshape.
|
| Takes a tensor as input and an optional
| tensor specifying the new shape. When
| the second input is absent, an extra
| argument shape must be specified. Outputs
| the reshaped tensor as well as the original
| shape.
|
| At most one dimension of the new shape
| can be -1. In this case, the value is inferred
| from the size of the tensor and the remaining
| dimensions. A dimension could also
| be 0, in which case the actual dimension
| value is going to be copied from the input
| tensor.
|
| For empty tensor, we will set the -1 dimension
| to be 0 (if one dimension is -1).
|
| When the tensor is empty, dimension
| of 0 will remain to be 0.
|
| E.g: data=np.empty(shape=[4, 0]),
| shape=[0, -1], the output tensor will
| be np.emtpy(shape=[0, 0])
|
| Github Links:
|
| - https://github.com/pytorch/pytorch/blob/master/caffe2/operators/reshape_op.cc
|