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| author | Gian Marco <gianmarco.iodice@arm.com> | 2017-12-12 10:08:38 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:42:33 +0000 |
| commit | bfa3b52de2cfbd330efc19e2096134a20c645406 (patch) | |
| tree | 30812054cbeaa87a268bb21174402d3b2ec199d4 /utils/Utils.h | |
| parent | 397252889a2d7e7d9d241ee9dcecff3edf2bcff7 (diff) | |
| download | ComputeLibrary-bfa3b52de2cfbd330efc19e2096134a20c645406.tar.gz | |
COMPMID-556 - Fix examples
- Fixed data type issue in cl_sgemm
- Added support for NEON and OpenCL targets in graph examples. Before we
could run only OpenCL target
- Add auto_init() in NEDepthwiseVectorToTensorKernel
Change-Id: I4410ce6f4992b2375b980634fe55f1083cf3c471
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112850
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Diffstat (limited to 'utils/Utils.h')
| -rw-r--r-- | utils/Utils.h | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/utils/Utils.h b/utils/Utils.h index 9133fd0ac0..eb4e846e80 100644 --- a/utils/Utils.h +++ b/utils/Utils.h @@ -708,7 +708,7 @@ void save_to_ppm(T &tensor, const std::string &ppm_filename) /** Template helper function to save a tensor image to a NPY file. * - * @note Only F32 format supported. + * @note Only F32 data type supported. * @note Only works with 2D tensors. * @note If the input tensor is a CLTensor, the function maps and unmaps the image * @@ -719,7 +719,7 @@ void save_to_ppm(T &tensor, const std::string &ppm_filename) template <typename T> void save_to_npy(T &tensor, const std::string &npy_filename, bool fortran_order) { - ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(&tensor, arm_compute::Format::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN(&tensor, arm_compute::DataType::F32); ARM_COMPUTE_ERROR_ON(tensor.info()->num_dimensions() > 2); std::ofstream fs; @@ -745,9 +745,9 @@ void save_to_npy(T &tensor, const std::string &npy_filename, bool fortran_order) // Map buffer if creating a CLTensor map(tensor, true); - switch(tensor.info()->format()) + switch(tensor.info()->data_type()) { - case arm_compute::Format::F32: + case arm_compute::DataType::F32: { std::vector<float> tmp; /* Used only to get the typestring */ npy::Typestring typestring_o{ tmp }; @@ -851,9 +851,9 @@ void fill_random_tensor(T &tensor, float lower_bound, float upper_bound) Iterator it(&tensor, window); - switch(tensor.info()->format()) + switch(tensor.info()->data_type()) { - case arm_compute::Format::F32: + case arm_compute::DataType::F32: { std::uniform_real_distribution<float> dist(lower_bound, upper_bound); |