diff options
Diffstat (limited to 'tests/validation/NEON/BatchNormalizationLayer.cpp')
-rw-r--r-- | tests/validation/NEON/BatchNormalizationLayer.cpp | 15 |
1 files changed, 6 insertions, 9 deletions
diff --git a/tests/validation/NEON/BatchNormalizationLayer.cpp b/tests/validation/NEON/BatchNormalizationLayer.cpp index 3a18a0a93b..ca13d26495 100644 --- a/tests/validation/NEON/BatchNormalizationLayer.cpp +++ b/tests/validation/NEON/BatchNormalizationLayer.cpp @@ -68,9 +68,6 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combi framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout) { - // Set fixed point position data type allowed - const int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0; - TensorShape src_dst_shapes = shape0; if(data_layout == DataLayout::NHWC) { @@ -78,12 +75,12 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combi } // Create tensors - Tensor src = create_tensor<Tensor>(src_dst_shapes, dt, 1, fixed_point_position, QuantizationInfo(), data_layout); - Tensor dst = create_tensor<Tensor>(src_dst_shapes, dt, 1, fixed_point_position, QuantizationInfo(), data_layout); - Tensor mean = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position); - Tensor var = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position); - Tensor beta = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position); - Tensor gamma = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position); + Tensor src = create_tensor<Tensor>(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout); + Tensor dst = create_tensor<Tensor>(src_dst_shapes, dt, 1, QuantizationInfo(), data_layout); + Tensor mean = create_tensor<Tensor>(shape1, dt, 1); + Tensor var = create_tensor<Tensor>(shape1, dt, 1); + Tensor beta = create_tensor<Tensor>(shape1, dt, 1); + Tensor gamma = create_tensor<Tensor>(shape1, dt, 1); // Create and Configure function NEBatchNormalizationLayer norm; |