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Diffstat (limited to 'tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h')
-rw-r--r--tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h10
1 files changed, 5 insertions, 5 deletions
diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
index 9276431de8..48ea03810f 100644
--- a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -57,15 +57,15 @@ public:
weights_shape.set(2, dst_shape.z());
// 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);
// Create tensors
- src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
- weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
- biases = create_tensor<TensorType>(TensorShape(weights_shape[2]), is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type, 1, fixed_point_position);
- dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
+ src = create_tensor<TensorType>(src_shape, data_type, 1, QuantizationInfo(0.5f, 10));
+ weights = create_tensor<TensorType>(weights_shape, data_type, 1, QuantizationInfo(0.5f, 10));
+ biases = create_tensor<TensorType>(TensorShape(weights_shape[2]), is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type, 1);
+ dst = create_tensor<TensorType>(dst_shape, data_type, 1, QuantizationInfo(0.5f, 10));
// Create and configure function
depth_conv.configure(&src, &weights, &biases, &dst, info);