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authorVidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>2018-05-25 13:21:26 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:52:54 +0000
commitf1f490634f3273e4669f16e663071554df291bea (patch)
tree3e4e39f3aa5a7ef26cd0d01079a971ad949738e4 /src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp
parent2345f4349761d6c78200f43e1a78289d215825c4 (diff)
downloadComputeLibrary-f1f490634f3273e4669f16e663071554df291bea.tar.gz
COMPMID-655 : Check FP16 is supported by the GPU
Change-Id: I507b04680a4e88426b682bd0be03bccb560ec78d Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/132589 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp2
1 files changed, 2 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp b/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp
index e4ad97faca..ca1895723b 100644
--- a/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp
+++ b/src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp
@@ -26,6 +26,7 @@
#include "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/CLValidate.h"
#include "arm_compute/core/CL/ICLKernel.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/Error.h"
@@ -44,6 +45,7 @@ namespace
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier,
const ActivationLayerInfo &act_info)
{
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(act_info.enabled() && ((input->data_type() != DataType::QASYMM8) || ((act_info.activation() != ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU)
&& (act_info.activation() != ActivationLayerInfo::ActivationFunction::BOUNDED_RELU)