diff options
| -rw-r--r-- | src/runtime/NEON/functions/NEConvolutionLayer.cpp | 6 | ||||
| -rw-r--r-- | tests/benchmark/fixtures/ConvolutionLayerFixture.h | 3 |
2 files changed, 5 insertions, 4 deletions
diff --git a/src/runtime/NEON/functions/NEConvolutionLayer.cpp b/src/runtime/NEON/functions/NEConvolutionLayer.cpp index 598d350505..0f00f74fae 100644 --- a/src/runtime/NEON/functions/NEConvolutionLayer.cpp +++ b/src/runtime/NEON/functions/NEConvolutionLayer.cpp @@ -186,7 +186,7 @@ Status validate_and_initialize_values(const ITensorInfo *input, const ITensorInf ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, weights); ARM_COMPUTE_RETURN_ERROR_ON(!weights_info.are_reshaped() && weights->dimension(2) != input->dimension(2)); ARM_COMPUTE_RETURN_ERROR_ON(weights->num_dimensions() > 4); - ARM_COMPUTE_ERROR_ON(weights_info.are_reshaped() && is_data_type_quantized_asymmetric(input->data_type())); + ARM_COMPUTE_RETURN_ERROR_ON(weights_info.are_reshaped() && is_data_type_quantized_asymmetric(input->data_type())); dt = input->data_type(); is_quantized = is_data_type_quantized_asymmetric(dt); @@ -195,11 +195,11 @@ Status validate_and_initialize_values(const ITensorInfo *input, const ITensorInf { if(is_quantized) { - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::S32); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::S32); } else { - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases); } ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, biases); ARM_COMPUTE_RETURN_ERROR_ON(!weights_info.are_reshaped() && biases->dimension(0) != weights->dimension(3)); diff --git a/tests/benchmark/fixtures/ConvolutionLayerFixture.h b/tests/benchmark/fixtures/ConvolutionLayerFixture.h index 0d2c3fd955..7dc7de0dc1 100644 --- a/tests/benchmark/fixtures/ConvolutionLayerFixture.h +++ b/tests/benchmark/fixtures/ConvolutionLayerFixture.h @@ -46,11 +46,12 @@ public: 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, 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); // Create and configure function |