28 lines
970 B
Python
28 lines
970 B
Python
|
# 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}"
|