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# Copyright © 2019 Arm Ltd. All rights reserved.
# SPDX-License-Identifier: MIT
import pytest
import pyarmnn as ann
def test_tensor_shape_tuple():
tensor_shape = ann.TensorShape((1, 2, 3))
assert 3 == tensor_shape.GetNumDimensions()
assert 6 == tensor_shape.GetNumElements()
def test_tensor_shape_one():
tensor_shape = ann.TensorShape((10,))
assert 1 == tensor_shape.GetNumDimensions()
assert 10 == tensor_shape.GetNumElements()
@pytest.mark.skip("This will segfault before it reaches SWIG wrapper. ???")
def test_tensor_shape_empty():
ann.TensorShape(())
def test_tensor_shape_tuple_mess():
tensor_shape = ann.TensorShape((1, "2", 3.0))
assert 3 == tensor_shape.GetNumDimensions()
assert 6 == tensor_shape.GetNumElements()
def test_tensor_shape_list():
with pytest.raises(TypeError) as err:
ann.TensorShape([1, 2, 3])
assert "Argument is not a tuple" in str(err.value)
def test_tensor_shape_tuple_mess_fail():
with pytest.raises(TypeError) as err:
ann.TensorShape((1, "two", 3.0))
assert "All elements must be numbers" in str(err.value)
def test_tensor_shape_varags():
with pytest.raises(TypeError) as err:
ann.TensorShape(1, 2, 3)
assert "__init__() takes 2 positional arguments but 4 were given" in str(err.value)
def test_tensor_shape__get_item_out_of_bounds():
tensor_shape = ann.TensorShape((1, 2, 3))
with pytest.raises(ValueError) as err:
for i in range(4):
tensor_shape[i]
assert "Invalid dimension index: 3 (number of dimensions is 3)" in str(err.value)
def test_tensor_shape__set_item_out_of_bounds():
tensor_shape = ann.TensorShape((1, 2, 3))
with pytest.raises(ValueError) as err:
for i in range(4):
tensor_shape[i] = 1
assert "Invalid dimension index: 3 (number of dimensions is 3)" in str(err.value)
def test_tensor_shape___str__():
tensor_shape = ann.TensorShape((1, 2, 3))
assert str(tensor_shape) == "TensorShape{Shape(1, 2, 3), NumDimensions: 3, NumElements: 6}"
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