1# Copyright 2019 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15 16import numpy as np 17import pytest 18 19import mindspore.context as context 20from mindspore import Tensor 21from mindspore.ops import operations as P 22 23def reshape(nptype): 24 context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 25 26 reshape_op = P.Reshape() 27 data = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]).astype(nptype) 28 input_tensor = Tensor(np.array(data)) 29 30 new_shape = (2, 6) 31 output_tensor = reshape_op(input_tensor, new_shape) 32 assert new_shape == output_tensor.shape 33 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 34 35 new_shape = (6, 2) 36 output_tensor = reshape_op(input_tensor, new_shape) 37 assert new_shape == output_tensor.shape 38 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 39 40 new_shape = (3, 4) 41 output_tensor = reshape_op(input_tensor, new_shape) 42 assert new_shape == output_tensor.shape 43 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 44 45 new_shape = (4, 3) 46 output_tensor = reshape_op(input_tensor, new_shape) 47 assert new_shape == output_tensor.shape 48 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 49 50 new_shape = (1, 12) 51 output_tensor = reshape_op(input_tensor, new_shape) 52 assert new_shape == output_tensor.shape 53 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 54 55 new_shape = (12, 1) 56 output_tensor = reshape_op(input_tensor, new_shape) 57 assert new_shape == output_tensor.shape 58 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 59 60def reshape_bool(): 61 context.set_context(mode=context.GRAPH_MODE, device_target="GPU") 62 63 reshape_op = P.Reshape() 64 data = np.array([True, True, False, True, False, False, True, False, False, False, False, False]) 65 input_tensor = Tensor(np.array(data)) 66 67 new_shape = (2, 6) 68 output_tensor = reshape_op(input_tensor, new_shape) 69 assert new_shape == output_tensor.shape 70 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 71 72 new_shape = (6, 2) 73 output_tensor = reshape_op(input_tensor, new_shape) 74 assert new_shape == output_tensor.shape 75 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 76 77 new_shape = (3, 4) 78 output_tensor = reshape_op(input_tensor, new_shape) 79 assert new_shape == output_tensor.shape 80 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 81 82 new_shape = (4, 3) 83 output_tensor = reshape_op(input_tensor, new_shape) 84 assert new_shape == output_tensor.shape 85 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 86 87 new_shape = (1, 12) 88 output_tensor = reshape_op(input_tensor, new_shape) 89 assert new_shape == output_tensor.shape 90 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 91 92 new_shape = (12, 1) 93 output_tensor = reshape_op(input_tensor, new_shape) 94 assert new_shape == output_tensor.shape 95 np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data) 96 97 98@pytest.mark.level0 99@pytest.mark.platform_x86_gpu_training 100@pytest.mark.env_onecard 101def test_reshape_float(): 102 reshape(np.float32) 103 104@pytest.mark.level0 105@pytest.mark.platform_x86_gpu_training 106@pytest.mark.env_onecard 107def test_reshape_float16(): 108 reshape(np.float16) 109 110@pytest.mark.level1 111@pytest.mark.platform_x86_gpu_training 112@pytest.mark.env_onecard 113def test_reshape_int32(): 114 reshape(np.int32) 115 116@pytest.mark.level1 117@pytest.mark.platform_x86_gpu_training 118@pytest.mark.env_onecard 119def test_reshape_uint8(): 120 reshape(np.uint8) 121 122@pytest.mark.level1 123@pytest.mark.platform_x86_gpu_training 124@pytest.mark.env_onecard 125def test_reshape_bool(): 126 reshape_bool() 127