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grad
Complete List of ArrayFire Functions ArrayFire Functions by Category » Vector Algorithms » | Numerical differentiation

Calculate the gradients of the input. More...

## Functions
AFAPI void | grad (array &dx, array &dy, const array &in)
| C++ Interface for calculating the gradients. More...
AFAPI af_err | af_gradient (af_array *dx, af_array *dy, const af_array in)
| C Interface for calculating the gradients. More...

## Detailed Description

Calculate the gradients of the input.

`dx` is the gradient along the 1st dimension of `in`. `dy` is the gradient along the 2nd dimension of `in`.

The gradients along the first and second dimensions are calculated simultaneously

array in = randu(dim4(5, 3));
array dx, dy;
grad(dx, dy, in);
// in [5 3 1 1]
// 0.0000 0.2190 0.3835
// 0.1315 0.0470 0.5194
// 0.7556 0.6789 0.8310
// 0.4587 0.6793 0.0346
// 0.5328 0.9347 0.0535
//
// dx [5 3 1 1]
// 0.1315 -0.1719 0.1359
// 0.3778 0.2300 0.2237
// 0.1636 0.3161 -0.2424
// -0.1114 0.1279 -0.3888
// 0.0741 0.2554 0.0189
//
// dy [5 3 1 1]
// 0.2190 0.1917 0.1645
// -0.0845 0.1939 0.4724
// -0.0767 0.0377 0.1521
// 0.2206 -0.2120 -0.6447
// 0.4019 -0.2397 -0.8812

## Function Documentation

AFAPI af_err af_gradient | ( | af_array * | dx,
|  | af_array * | dy,
|  | const af_array | in
| ) |  |

C Interface for calculating the gradients.

Parameters

  [out] | dx | the gradient along first dimension
  [out] | dy | the gradient along second dimension
  [in] | in | is the input array

Returns
  AF_SUCCESS if the color transformation is successful, otherwise an appropriate error code is returned.

AFAPI void af::grad | ( | array & | dx,
|  | array & | dy,
|  | const array & | in
| ) |  |

C++ Interface for calculating the gradients.

Parameters

  [out] | dx | the gradient along first dimension
  [out] | dy | the gradient along second dimension
  [in] | in | is the input array

Examples:
  deep_belief_net.cpp, and neural_network.cpp.