dst_shape.set(3 /* batch */, batches);
// 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);
+ 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);
+ dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position, QuantizationInfo(0.5f, 10));
// Create and configure function
depth_conv.configure(&src, &weights, &biases, &dst, info);