diff options
Diffstat (limited to 'tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h')
| -rw-r--r-- | tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h b/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h index 8ed75af664..5f44517817 100644 --- a/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h +++ b/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h @@ -48,16 +48,16 @@ public: ARM_COMPUTE_UNUSED(dilation); // Set batched in source and destination shapes - const unsigned int fixed_point_position = 4; + src_shape.set(3 /* batch */, batches); dst_shape.set(3 /* batch */, batches); DataType bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type; // Create tensors - src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position); - weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position); - biases = create_tensor<TensorType>(biases_shape, bias_data_type, 1, fixed_point_position); - dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position); + src = create_tensor<TensorType>(src_shape, data_type, 1); + weights = create_tensor<TensorType>(weights_shape, data_type, 1); + biases = create_tensor<TensorType>(biases_shape, bias_data_type, 1); + dst = create_tensor<TensorType>(dst_shape, data_type, 1); // Create and configure function conv_layer.configure(&src, &weights, &biases, &dst, info, act_info); |