diff options
Diffstat (limited to 'src/core/NEON/kernels/NENormalizationLayerKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NENormalizationLayerKernel.cpp | 11 |
1 files changed, 7 insertions, 4 deletions
diff --git a/src/core/NEON/kernels/NENormalizationLayerKernel.cpp b/src/core/NEON/kernels/NENormalizationLayerKernel.cpp index 085d412558..0e15244f0e 100644 --- a/src/core/NEON/kernels/NENormalizationLayerKernel.cpp +++ b/src/core/NEON/kernels/NENormalizationLayerKernel.cpp @@ -51,12 +51,15 @@ void NENormalizationLayerKernel::configure(const ITensor *input, const ITensor * // Output tensor auto initialization if not yet initialized auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position()); ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, input_squared, output); - ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, input_squared, output); ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, input_squared, output); ARM_COMPUTE_ERROR_ON_MSG(!(norm_info.norm_size() % 2), "Normalization size should be odd"); - ARM_COMPUTE_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(norm_info.beta(), input); - ARM_COMPUTE_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(norm_info.kappa(), input); - ARM_COMPUTE_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(norm_info.scale_coeff(), input); + if(is_data_type_fixed_point(input->info()->data_type())) + { + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, input_squared, output); + ARM_COMPUTE_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(norm_info.beta(), input); + ARM_COMPUTE_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(norm_info.kappa(), input); + ARM_COMPUTE_ERROR_ON_VALUE_NOT_REPRESENTABLE_IN_FIXED_POINT(norm_info.scale_coeff(), input); + } const unsigned int border_width = (norm_info.type() == NormType::CROSS_MAP) ? 0 : std::min(norm_info.norm_size() / 2, 3U); |