Find the mean of values in the input.  
More...
|  | 
| AFAPI array | mean (const array &in, const dim_t dim=-1) | 
|  | C++ Interface for mean.  More... 
 | 
|  | 
| AFAPI array | mean (const array &in, const array &weights, const dim_t dim=-1) | 
|  | C++ Interface for mean of weighted inputs.  More... 
 | 
|  | 
| template<typename T > | 
| AFAPI T | mean (const array &in) | 
|  | C++ Interface for mean of all elements.  More... 
 | 
|  | 
| template<typename T > | 
| AFAPI T | mean (const array &in, const array &weights) | 
|  | C++ Interface for mean of all elements in weighted input.  More... 
 | 
|  | 
| AFAPI af_err | af_mean (af_array *out, const af_array in, const dim_t dim) | 
|  | C Interface for mean.  More... 
 | 
|  | 
| AFAPI af_err | af_mean_weighted (af_array *out, const af_array in, const af_array weights, const dim_t dim) | 
|  | C Interface for mean of weighted input array.  More... 
 | 
|  | 
| AFAPI af_err | af_mean_all (double *real, double *imag, const af_array in) | 
|  | C Interface for mean of all elements.  More... 
 | 
|  | 
| AFAPI af_err | af_mean_all_weighted (double *real, double *imag, const af_array in, const af_array weights) | 
|  | C Interface for mean of all elements in weighted input.  More... 
 | 
|  | 
Find the mean of values in the input. 
This function performs the operation across all batches present in the input simultaneously. 
C Interface for mean. 
- Parameters
- 
  
    | [out] | out | will contain the mean of the input array along dimension dim |  | [in] | in | is the input array |  | [in] | dim | the dimension along which the mean is extracted |  
 
- Returns
- AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned. 
 
 
C Interface for mean of all elements. 
- Parameters
- 
  
    | [out] | real | will contain the real part of mean of the entire input array |  | [out] | imag | will contain the imaginary part of mean of the entire input array |  | [in] | in | is the input array |  
 
- Returns
- AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned. 
 
 
C Interface for mean of all elements in weighted input. 
- Parameters
- 
  
    | [out] | real | will contain the real part of mean of the entire weighted input array |  | [out] | imag | will contain the imaginary part of mean of the entire weighted input array |  | [in] | in | is the input array |  | [in] | weights | is used to scale input inbefore getting mean |  
 
- Returns
- AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned. 
 
 
C Interface for mean of weighted input array. 
- Parameters
- 
  
    | [out] | out | will contain the mean of the input array along dimension dim |  | [in] | in | is the input array |  | [in] | weights | is used to scale input inbefore getting mean |  | [in] | dim | the dimension along which the mean is extracted |  
 
- Returns
- AF_SUCCESS if the operation is successful, otherwise an appropriate error code is returned. 
 
 
C++ Interface for mean. 
- Parameters
- 
  
    | [in] | in | is the input array |  | [in] | dim | the dimension along which the mean is extracted |  
 
- Returns
- the mean of the input array along dimension dim
- Note
- dimis -1 by default. -1 denotes the first non-singleton dimension.
- Examples: 
- adaptive_thresholding.cpp, heston_model.cpp, and naive_bayes.cpp.
 
 
C++ Interface for mean of weighted inputs. 
- Parameters
- 
  
    | [in] | in | is the input array |  | [in] | weights | is used to scale input inbefore getting mean |  | [in] | dim | the dimension along which the mean is extracted |  
 
- Returns
- the mean of the weighted input array along dimension dim
- Note
- dimis -1 by default. -1 denotes the first non-singleton dimension.
 
 
C++ Interface for mean of all elements. 
- Parameters
- 
  
  
- Returns
- mean of the entire input array 
 
 
C++ Interface for mean of all elements in weighted input. 
- Parameters
- 
  
    | [in] | in | is the input array |  | [in] | weights | is used to scale input inbefore getting mean |  
 
- Returns
- mean of the entire weighted input array