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| 1 | +# Data Parallel Control (dpctl) |
| 2 | +# |
| 3 | +# Copyright 2020-2021 Intel Corporation |
| 4 | +# |
| 5 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 6 | +# you may not use this file except in compliance with the License. |
| 7 | +# You may obtain a copy of the License at |
| 8 | +# |
| 9 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | +# |
| 11 | +# Unless required by applicable law or agreed to in writing, software |
| 12 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | +# See the License for the specific language governing permissions and |
| 15 | +# limitations under the License. |
| 16 | + |
| 17 | + |
| 18 | +import numpy as np |
| 19 | +import pytest |
| 20 | +from numpy.testing import assert_array_equal |
| 21 | + |
| 22 | +import dpctl |
| 23 | +import dpctl.tensor as dpt |
| 24 | + |
| 25 | + |
| 26 | +def test_permute_dims_incorrect_type(): |
| 27 | + X_list = list([[1, 2, 3], [4, 5, 6]]) |
| 28 | + X_tuple = tuple(X_list) |
| 29 | + Xnp = np.array(X_list) |
| 30 | + |
| 31 | + pytest.raises(TypeError, dpt.permute_dims, X_list, (1, 0)) |
| 32 | + pytest.raises(TypeError, dpt.permute_dims, X_tuple, (1, 0)) |
| 33 | + pytest.raises(TypeError, dpt.permute_dims, Xnp, (1, 0)) |
| 34 | + |
| 35 | + |
| 36 | +def test_permute_dims_empty_array(): |
| 37 | + try: |
| 38 | + q = dpctl.SyclQueue() |
| 39 | + except dpctl.SyclQueueCreationError: |
| 40 | + pytest.skip("Queue could not be created") |
| 41 | + |
| 42 | + Xnp = np.empty((10, 0)) |
| 43 | + X = dpt.asarray(Xnp, sycl_queue=q) |
| 44 | + Y = dpt.permute_dims(X, (1, 0)) |
| 45 | + Ynp = np.transpose(Xnp, (1, 0)) |
| 46 | + assert_array_equal(Ynp, dpt.asnumpy(Y)) |
| 47 | + |
| 48 | + |
| 49 | +def test_permute_dims_0d_1d(): |
| 50 | + try: |
| 51 | + q = dpctl.SyclQueue() |
| 52 | + except dpctl.SyclQueueCreationError: |
| 53 | + pytest.skip("Queue could not be created") |
| 54 | + |
| 55 | + Xnp_0d = np.array(1, dtype="int64") |
| 56 | + X_0d = dpt.asarray(Xnp_0d, sycl_queue=q) |
| 57 | + Y_0d = dpt.permute_dims(X_0d, ()) |
| 58 | + assert_array_equal(dpt.asnumpy(Y_0d), dpt.asnumpy(X_0d)) |
| 59 | + |
| 60 | + Xnp_1d = np.random.randint(0, 2, size=6, dtype="int64") |
| 61 | + X_1d = dpt.asarray(Xnp_1d, sycl_queue=q) |
| 62 | + Y_1d = dpt.permute_dims(X_1d, (0)) |
| 63 | + assert_array_equal(dpt.asnumpy(Y_1d), dpt.asnumpy(X_1d)) |
| 64 | + |
| 65 | + pytest.raises(ValueError, dpt.permute_dims, X_1d, ()) |
| 66 | + pytest.raises(IndexError, dpt.permute_dims, X_1d, (1)) |
| 67 | + pytest.raises(ValueError, dpt.permute_dims, X_1d, (1, 0)) |
| 68 | + pytest.raises( |
| 69 | + ValueError, dpt.permute_dims, dpt.reshape(X_1d, (2, 3)), (1, 1) |
| 70 | + ) |
| 71 | + |
| 72 | + |
| 73 | +@pytest.mark.parametrize("shapes", [(2, 2), (1, 4), (3, 3, 3), (4, 1, 3)]) |
| 74 | +def test_permute_dims_2d_3d(shapes): |
| 75 | + try: |
| 76 | + q = dpctl.SyclQueue() |
| 77 | + except dpctl.SyclQueueCreationError: |
| 78 | + pytest.skip("Queue could not be created") |
| 79 | + |
| 80 | + Xnp_size = np.prod(shapes) |
| 81 | + |
| 82 | + Xnp = np.random.randint(0, 2, size=Xnp_size, dtype="int64").reshape(shapes) |
| 83 | + X = dpt.asarray(Xnp, sycl_queue=q) |
| 84 | + X_ndim = X.ndim |
| 85 | + if X_ndim == 2: |
| 86 | + Y = dpt.permute_dims(X, (1, 0)) |
| 87 | + Ynp = np.transpose(Xnp, (1, 0)) |
| 88 | + elif X_ndim == 3: |
| 89 | + X = dpt.asarray(Xnp, sycl_queue=q) |
| 90 | + Y = dpt.permute_dims(X, (2, 0, 1)) |
| 91 | + Ynp = np.transpose(Xnp, (2, 0, 1)) |
| 92 | + assert_array_equal(Ynp, dpt.asnumpy(Y)) |
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