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Diffstat (limited to 'src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp6
1 files changed, 3 insertions, 3 deletions
diff --git a/src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp b/src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp
index 5081cbac4e..a861e0072e 100644
--- a/src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp
@@ -64,7 +64,7 @@ void CLWinogradConvolutionLayer::configure(ICLTensor *input, const ICLTensor *we
_input_transform.configure(input, &_input0, conv_info, Size2D(kernel_w, kernel_h));
// Configure filter transform
- _filter_transform.configure(weights, &_input1);
+ _filter_transform.configure(weights, &_input1, Size2D(2U, 2U));
// Configure batched matrix multiply
_batched_mm.configure(&_input0, &_input1, nullptr, &_batched_mm_output, 1.0f, 0.0f, GEMMInfo(false, false, true /* Reshape weights only for the first run*/));
@@ -103,9 +103,9 @@ Status CLWinogradConvolutionLayer::validate(const ITensorInfo *input, const ITen
ARM_COMPUTE_RETURN_ON_ERROR(CLWinogradInputTransform::validate(input, &input0, conv_info, Size2D(kernel_w, kernel_h)));
// Validate filter transform
- const TensorShape input1_shape = misc::shape_calculator::compute_winograd_filter_transform_shape(*weights);
+ const TensorShape input1_shape = misc::shape_calculator::compute_winograd_filter_transform_shape(*weights, Size2D(2U, 2U));
const TensorInfo input1 = weights->clone()->set_tensor_shape(input1_shape);
- ARM_COMPUTE_RETURN_ON_ERROR(CLWinogradFilterTransformKernel::validate(weights, &input1));
+ ARM_COMPUTE_RETURN_ON_ERROR(CLWinogradFilterTransformKernel::validate(weights, &input1, Size2D(2U, 2U)));
// Configure batched matrix multiply
TensorShape batched_mm_output_shape = input0.tensor_shape();