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| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2019-11-13 17:08:12 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-12-20 11:47:29 +0000 |
| commit | 0779fecbf897fe85c5e13da52b129e439c4cc75d (patch) | |
| tree | c9d9edd74eb423099d9c8d31e1d655a2b6e59173 /src/runtime/CL/functions/CLSoftmaxLayer.cpp | |
| parent | 64e738f32187e8a4ea2624d15b48ed79b34cc824 (diff) | |
| download | ComputeLibrary-0779fecbf897fe85c5e13da52b129e439c4cc75d.tar.gz | |
COMPMID-2763 [CL] add support for QASYMM8_SIGNED to SoftmaxLayer
Change-Id: I4556bde3aa51eb874a4e674dbbd575fa4491c088
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2375
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLSoftmaxLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLSoftmaxLayer.cpp | 12 |
1 files changed, 9 insertions, 3 deletions
diff --git a/src/runtime/CL/functions/CLSoftmaxLayer.cpp b/src/runtime/CL/functions/CLSoftmaxLayer.cpp index 32d7f4423d..e01d2c75ca 100644 --- a/src/runtime/CL/functions/CLSoftmaxLayer.cpp +++ b/src/runtime/CL/functions/CLSoftmaxLayer.cpp @@ -118,8 +118,9 @@ void CLSoftmaxLayerGeneric<IS_LOG>::configure(const ICLTensor *input, ICLTensor _memory_group.manage(&_sum); SoftmaxKernelInfo softmax_info; - softmax_info.beta = beta; - softmax_info.is_log = IS_LOG; + softmax_info.beta = beta; + softmax_info.is_log = IS_LOG; + softmax_info.input_data_type = input_2D->info()->data_type(); // Configure kernels _max_shift_exp_sum_kernel.configure(input_2D, &_max, &_tmp, &_sum, softmax_info); @@ -184,8 +185,13 @@ Status CLSoftmaxLayerGeneric<IS_LOG>::validate(const ITensorInfo *input, const I } } + SoftmaxKernelInfo softmax_info; + softmax_info.beta = beta; + softmax_info.is_log = IS_LOG; + softmax_info.input_data_type = input->data_type(); + ARM_COMPUTE_RETURN_ON_ERROR(CLLogits1DMaxShiftExpSumKernel::validate(input, &tensor_info_max, &tensor_info_tmp, &tensor_info_sum)); - ARM_COMPUTE_RETURN_ON_ERROR(CLLogits1DNormKernel::validate(&tensor_info_tmp, &tensor_info_sum, output)); + ARM_COMPUTE_RETURN_ON_ERROR(CLLogits1DNormKernel::validate(&tensor_info_tmp, &tensor_info_sum, output, softmax_info)); if(needs_flattening) { |