Create a random array sampled from uniform distribution.
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| AFAPI array | randu (const dim4 &dims, const dtype ty, randomEngine &r) |
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| AFAPI array | randu (const dim4 &dims, const dtype ty=f32) |
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| AFAPI array | randu (const dim_t d0, const dtype ty=f32) |
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| AFAPI array | randu (const dim_t d0, const dim_t d1, const dtype ty=f32) |
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| AFAPI array | randu (const dim_t d0, const dim_t d1, const dim_t d2, const dtype ty=f32) |
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| AFAPI array | randu (const dim_t d0, const dim_t d1, const dim_t d2, const dim_t d3, const dtype ty=f32) |
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| AFAPI af_err | af_random_uniform (af_array *out, const unsigned ndims, const dim_t *const dims, const af_dtype type, af_random_engine engine) |
| | C Interface for creating an array of uniform numbers using a random engine. More...
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| AFAPI af_err | af_randu (af_array *out, const unsigned ndims, const dim_t *const dims, const af_dtype type) |
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Create a random array sampled from uniform distribution.
The type of engine used is defined by af::randomEngine.
The data is uniformly distributed between [0, 1].
§ af_random_uniform()
C Interface for creating an array of uniform numbers using a random engine.
- Parameters
-
| [out] | out | The pointer to the returned object. |
| [in] | ndims | The number of dimensions read from the dims parameter |
| [in] | dims | A C pointer with ndims elements. Each value represents the size of that dimension |
| [in] | type | The type of the af_array object |
| [in] | engine | The random engine object |
- Returns
- AF_SUCCESS if the execution completes properly
§ af_randu()
- Parameters
-
| [out] | out | The generated array |
| [in] | ndims | Size of dimension array dims |
| [in] | dims | The array containing sizes of the dimension |
| [in] | type | The type of array to generate |
§ randu() [1/6]
- Parameters
-
| [in] | dims | The dimensions of the array to be generated |
| [in] | ty | The type of the array |
| [in] | r | The random engine object |
- Returns
- array of size
dims
- Examples:
- benchmarks/fft.cpp, benchmarks/pi.cpp, getting_started/convolve.cpp, getting_started/vectorize.cpp, graphics/conway.cpp, graphics/conway_pretty.cpp, graphics/gravity_sim.cpp, helloworld/helloworld.cpp, image_processing/filters.cpp, lin_algebra/cholesky.cpp, lin_algebra/lu.cpp, lin_algebra/qr.cpp, machine_learning/bagging.cpp, machine_learning/deep_belief_net.cpp, machine_learning/kmeans.cpp, machine_learning/neural_network.cpp, and machine_learning/rbm.cpp.
§ randu() [2/6]
- Parameters
-
| [in] | dims | The dimensions of the array to be generated |
| [in] | ty | The type of the array |
- Returns
- array of size
dims
§ randu() [3/6]
- Parameters
-
| [in] | d0 | The size of the first dimension |
| [in] | ty | The type of the array |
- Returns
- array of size
d0
§ randu() [4/6]
- Parameters
-
| [in] | d0 | The size of the first dimension |
| [in] | d1 | The size of the second dimension |
| [in] | ty | The type of the array |
- Returns
- array of size
d0 x d1
§ randu() [5/6]
- Parameters
-
| [in] | d0 | The size of the first dimension |
| [in] | d1 | The size of the second dimension |
| [in] | d2 | The size of the third dimension |
| [in] | ty | The type of the array |
- Returns
- array of size
d0 x d1 x d2
§ randu() [6/6]
- Parameters
-
| [in] | d0 | The size of the first dimension |
| [in] | d1 | The size of the second dimension |
| [in] | d2 | The size of the third dimension |
| [in] | d3 | The size of the fourth dimension |
| [in] | ty | The type of the array |
- Returns
- array of size
d0 x d1 x d2 x d3