Tensor

Constructs a tensor with data.

Methods

data - returns a pointer to tensor data.
total - returns number of elements in tensor.
empty - checks tensor is empty.
strides - returns strides of tensor data.
shape - returns shape of tensor.
copyTo - copies the tensor to another one.
allocate - allocate tensor according to specified shape.
reshape - returns a tensor with the same data and number of elements as input, but with the specified shape.
zeros - fills the tensor with zeros.
constant - fills the tensor with value.
xavierUniform - fills the input Tensor with values according to the method described in Understanding the difficulty of training deep feedforward neural networks - Glorot, X. & Bengio, Y. (2010), using a uniform distribution.
uniform - fills the tensor with values drawn from the uniform distribution U(lower, upper).

dw::Tensor tensor(const Shape& shape, float* data);