Richard Burton | dc0c6ed | 2020-04-08 16:39:05 +0100 | [diff] [blame] | 1 | # Copyright © 2020 Arm Ltd. All rights reserved. |
| 2 | # SPDX-License-Identifier: MIT |
| 3 | import pytest |
| 4 | import pyarmnn as ann |
| 5 | |
| 6 | |
| 7 | def test_tensor_shape_tuple(): |
| 8 | tensor_shape = ann.TensorShape((1, 2, 3)) |
| 9 | |
| 10 | assert 3 == tensor_shape.GetNumDimensions() |
| 11 | assert 6 == tensor_shape.GetNumElements() |
| 12 | |
| 13 | |
| 14 | def test_tensor_shape_one(): |
| 15 | tensor_shape = ann.TensorShape((10,)) |
| 16 | assert 1 == tensor_shape.GetNumDimensions() |
| 17 | assert 10 == tensor_shape.GetNumElements() |
| 18 | |
| 19 | |
| 20 | def test_tensor_shape_empty(): |
| 21 | with pytest.raises(RuntimeError) as err: |
| 22 | ann.TensorShape(()) |
| 23 | |
| 24 | assert "Tensor numDimensions must be greater than 0" in str(err.value) |
| 25 | |
| 26 | |
| 27 | def test_tensor_shape_tuple_mess(): |
| 28 | tensor_shape = ann.TensorShape((1, "2", 3.0)) |
| 29 | |
| 30 | assert 3 == tensor_shape.GetNumDimensions() |
| 31 | assert 6 == tensor_shape.GetNumElements() |
| 32 | |
| 33 | |
| 34 | def test_tensor_shape_list(): |
| 35 | |
| 36 | with pytest.raises(TypeError) as err: |
| 37 | ann.TensorShape([1, 2, 3]) |
| 38 | |
| 39 | assert "Argument is not a tuple" in str(err.value) |
| 40 | |
| 41 | |
| 42 | def test_tensor_shape_tuple_mess_fail(): |
| 43 | |
| 44 | with pytest.raises(TypeError) as err: |
| 45 | ann.TensorShape((1, "two", 3.0)) |
| 46 | |
| 47 | assert "All elements must be numbers" in str(err.value) |
| 48 | |
| 49 | |
| 50 | def test_tensor_shape_varags(): |
| 51 | with pytest.raises(TypeError) as err: |
| 52 | ann.TensorShape(1, 2, 3) |
| 53 | |
| 54 | assert "__init__() takes 2 positional arguments but 4 were given" in str(err.value) |
| 55 | |
| 56 | |
| 57 | def test_tensor_shape__get_item_out_of_bounds(): |
| 58 | tensor_shape = ann.TensorShape((1, 2, 3)) |
| 59 | with pytest.raises(ValueError) as err: |
| 60 | for i in range(4): |
| 61 | tensor_shape[i] |
| 62 | |
| 63 | assert "Invalid dimension index: 3 (number of dimensions is 3)" in str(err.value) |
| 64 | |
| 65 | |
| 66 | def test_tensor_shape__set_item_out_of_bounds(): |
| 67 | tensor_shape = ann.TensorShape((1, 2, 3)) |
| 68 | with pytest.raises(ValueError) as err: |
| 69 | for i in range(4): |
| 70 | tensor_shape[i] = 1 |
| 71 | |
| 72 | assert "Invalid dimension index: 3 (number of dimensions is 3)" in str(err.value) |
| 73 | |
| 74 | |
| 75 | def test_tensor_shape___str__(): |
| 76 | tensor_shape = ann.TensorShape((1, 2, 3)) |
| 77 | |
| 78 | assert str(tensor_shape) == "TensorShape{Shape(1, 2, 3), NumDimensions: 3, NumElements: 6}" |