| # Copyright © 2020 Arm Ltd. All rights reserved. | |
| # SPDX-License-Identifier: MIT | |
| import pyarmnn as ann | |
| def test_tensor_info_ctor_shape(): | |
| tensor_shape = ann.TensorShape((1, 1, 2)) | |
| tensor_info = ann.TensorInfo(tensor_shape, ann.DataType_QAsymmU8, 0.5, 1) | |
| assert 2 == tensor_info.GetNumElements() | |
| assert 3 == tensor_info.GetNumDimensions() | |
| assert ann.DataType_QAsymmU8 == tensor_info.GetDataType() | |
| assert 0.5 == tensor_info.GetQuantizationScale() | |
| assert 1 == tensor_info.GetQuantizationOffset() | |
| shape = tensor_info.GetShape() | |
| assert 2 == shape.GetNumElements() | |
| assert 3 == shape.GetNumDimensions() | |
| def test_tensor_info__str__(): | |
| tensor_info = ann.TensorInfo(ann.TensorShape((2, 3)), ann.DataType_QAsymmU8, 0.5, 1) | |
| assert tensor_info.__str__() == "TensorInfo{DataType: 2, IsQuantized: 1, QuantizationScale: 0.500000, " \ | |
| "QuantizationOffset: 1, NumDimensions: 2, NumElements: 6}" |