diff options
Diffstat (limited to 'src/core/gpu/cl/kernels/ClPoolingKernel.cpp')
| -rw-r--r-- | src/core/gpu/cl/kernels/ClPoolingKernel.cpp | 12 |
1 files changed, 12 insertions, 0 deletions
diff --git a/src/core/gpu/cl/kernels/ClPoolingKernel.cpp b/src/core/gpu/cl/kernels/ClPoolingKernel.cpp index a432877a1d..08a3ce3784 100644 --- a/src/core/gpu/cl/kernels/ClPoolingKernel.cpp +++ b/src/core/gpu/cl/kernels/ClPoolingKernel.cpp @@ -67,6 +67,18 @@ Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const ARM_COMPUTE_RETURN_ERROR_ON_MSG((is_data_type_quantized_asymmetric(src->data_type()) && pool_info.pool_type == PoolingType::L2), "Unsupported combination of parameters!"); + const auto data_layout = pool_info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : pool_info.data_layout; + const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); + const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); + const bool is_global_pooling = pool_info.is_global_pooling; + unsigned int pool_size_x = is_global_pooling ? src->dimension(idx_width) : pool_info.pool_size.width; + unsigned int pool_size_y = is_global_pooling ? src->dimension(idx_height) : pool_info.pool_size.height; + int output_width = 0; + int output_height = 0; + std::tie(output_width, output_height) = scaled_dimensions_signed(src->tensor_shape()[idx_width], src->tensor_shape()[idx_height], + pool_size_x, pool_size_y, pool_info.pad_stride_info); + ARM_COMPUTE_RETURN_ERROR_ON_MSG((output_width < 1 || output_height < 1), "Calculated output dimension size is invalid"); + // Check indices if(indices) { |