Category: Shape manipulation
Short description: Reshape operation changes dimensions of the input tensor according to the specified order. Input tensor volume is equal to output tensor volume, where volume is the product of dimensions.
Reshape layer takes two input tensors: the tensor to be resized and the output tensor shape. The values in the second tensor could be -1, 0 and any positive integer number. The two special values -1 and 0:
0means "copy the respective dimension of the input tensor" if
special_zerois set to
true; otherwise it is a normal dimension and is applicable to empty tensors.
-1means that this dimension is calculated to keep the overall elements count the same as in the input tensor. Not more than one
-1can be used in a reshape operation.
shapeare interpreted. If special_zero is
false, then 0 is interpreted as-is which means that output shape will contain a zero dimension at the specified location. Input and output tensors are empty in this case. If special_zero is
true, then all zeros in
shapeimplies the copying of corresponding dimensions from
data.shapeinto the output shape.
data– multidimensional input tensor of type T. Required.
shape– 1D tensor of type T_SHAPE describing output shape. Required.
databut with shape defined by input