Generates appropriate weights accessor according to the specified path * * @note If path is empty will generate a DummyAccessor else will generate a

Semantic accessor for width as x. * * @return x. */

Semantic accessor for height as y. * * @return y. */

Check if the border is the same size on all sides */

Get end of iterator. * * @return end of iterator. */

Semantic accessor for depth as z. * * @return z. */

Return a pointer to the element at the passed coordinates * * @param[in] id Coordinates of the element * * @return Pointer to the

TODO(llohse): implement as constexpr

Auto initialize the tensor info (shape, number of channels and data type) if the current assignment is empty. * * @param[in,out] info T

Calculate the maximum window for a given tensor shape and border setting * * @param[in] info Tensor info object defining the shape of the obj

\brief Returns the size of the object in bytes based on the runtime number of dimensions

Append the passed argument to the end of the array if there is room. * * @param[in] val Value to add to the array. * * @return Tru

Resizes the array to contain "num" elements. If "num" is smaller than the maximum array size, the content is reduced to its first "num" elements,

Accessor to set the value of one of the dimensions. * * @param[in] dimension Dimension for which the value is set. * @param[in]

Check if initialised */

Generates appropriate random accessor * * @param[in] lower Lower random values bound * @param[in] upper Upper random values bound * @param[in] see

Return the step of the dimension */

Get the type of activation function */

Check if a given data type is of quantized type * * @note Quantized is considered a super-set of fixed-point and asymmetric data types. * * @param