Modify the input dimensions without changing the data order.  
More...
|  | 
| AFAPI array | moddims (const array &in, const unsigned ndims, const dim_t *const dims) | 
|  | 
| AFAPI array | moddims (const array &in, const dim4 &dims) | 
|  | 
| AFAPI array | moddims (const array &in, const dim_t d0, const dim_t d1=1, const dim_t d2=1, const dim_t d3=1) | 
|  | 
| AFAPI af_err | af_moddims (af_array *out, const af_array in, const unsigned ndims, const dim_t *const dims) | 
|  | 
Modify the input dimensions without changing the data order. 
Simply modifies the metadata. This is a noop.
- Parameters
- 
  
    | [out] | out | is the modded array |  | [in] | in | is the input array |  | [in] | ndims | is the number of dimensions |  | [in] | dims | is the array containing the new dimensions |  
 
- Examples: 
- blas.cpp.
 
 
      
        
          | AFAPI array af::moddims | ( | const array & | in, | 
        
          |  |  | const unsigned | ndims, | 
        
          |  |  | const dim_t *const | dims | 
        
          |  | ) |  |  | 
      
 
- Parameters
- 
  
    | [in] | in | is the input array |  | [in] | ndims | is the number of dimensions |  | [in] | dims | is the array containing the new dimensions |  
 
- Returns
- the modded output 
- Examples: 
- bagging.cpp, blas.cpp, brain_segmentation.cpp, deep_belief_net.cpp, fft.cpp, filters.cpp, kmeans.cpp, knn.cpp, logistic_regression.cpp, naive_bayes.cpp, neural_network.cpp, perceptron.cpp, rbm.cpp, softmax_regression.cpp, swe.cpp, and vectorize.cpp.
 
 
- Parameters
- 
  
    | [in] | in | is the input array |  | [in] | dims | is the new dimensions |  
 
- Returns
- the modded output 
 
 
- Parameters
- 
  
    | [in] | in | is the input array |  | [in] | d0 | specifies the new size of the first dimension |  | [in] | d1 | specifies the new size of the second dimension |  | [in] | d2 | specifies the new size of the third dimension |  | [in] | d3 | specifies the new size of the fourth dimension |  
 
- Returns
- the modded array