Tile the input array along specified dimensions.
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AFAPI array | tile (const array &in, const unsigned x, const unsigned y=1, const unsigned z=1, const unsigned w=1) |
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AFAPI array | tile (const array &in, const dim4 &dims) |
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AFAPI af_err | af_tile (af_array *out, const af_array in, const unsigned x, const unsigned y, const unsigned z, const unsigned w) |
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Tile the input array along specified dimensions.
Creates copys of the array a specified number of times within the output array
- Parameters
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[out] | out | is the generated array |
[in] | in | is the input matrix |
[in] | x | is the number of times in is tiled along first dimension |
[in] | y | is the number of times in is tiled along second dimension |
[in] | z | is the number of times in is tiled along third dimension |
[in] | w | is the number of times in is tiled along fourth dimension |
AFAPI array af::tile |
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const array & |
in, |
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const unsigned |
x, |
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const unsigned |
y = 1 , |
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const unsigned |
z = 1 , |
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const unsigned |
w = 1 |
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) |
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- Parameters
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[in] | in | is the input array |
[in] | x | is the number of times in is tiled along first dimension |
[in] | y | is the number of times in is tiled along second dimension |
[in] | z | is the number of times in is tiled along third dimension |
[in] | w | is the number of times in is tiled along fourth dimension |
- Returns
- the tiled output
- Examples:
- computer_vision/matching.cpp, financial/black_scholes_options.cpp, getting_started/vectorize.cpp, graphics/conway_pretty.cpp, image_processing/filters.cpp, image_processing/image_editing.cpp, machine_learning/bagging.cpp, machine_learning/deep_belief_net.cpp, machine_learning/kmeans.cpp, machine_learning/knn.cpp, machine_learning/naive_bayes.cpp, machine_learning/rbm.cpp, and pde/swe.cpp.
- Parameters
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[in] | in | is the input array |
[in] | dims | dim4 of tile dimensions |
- Returns
- the tiled output