wehub-resource-sync
88 lines
3.0 KiB
Python
88 lines
3.0 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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import paddle
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class TestGatherCompatible(unittest.TestCase):
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def test_non_inplace_origin_gather(self):
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x = paddle.arange(12, dtype=paddle.float32).reshape([3, 4])
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index = paddle.to_tensor([0, 1, 1], dtype=paddle.int64)
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x.stop_gradient = False
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res_out = paddle.to_tensor(0)
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res = paddle.gather(x, axis=1, index=index, out=res_out)
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gt = np.array(
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[[0.0, 1.0, 1.0], [4.0, 5.0, 5.0], [8.0, 9.0, 9.0]],
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dtype=np.float32,
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)
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np.testing.assert_allclose(res.numpy(), gt)
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np.testing.assert_allclose(res_out.numpy(), gt)
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res.backward()
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gt_x_grad = np.array(
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[[1.0, 2.0, 0.0, 0.0], [1.0, 2.0, 0.0, 0.0], [1.0, 2.0, 0.0, 0.0]],
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dtype=np.float32,
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)
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np.testing.assert_allclose(x.grad.numpy(), gt_x_grad)
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def test_take_along_axis_pass(self):
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inputs = paddle.arange(0, 12, dtype=paddle.float64).reshape([3, 4])
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index = paddle.ones([2, 4], dtype=paddle.int64)
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gt = np.array(
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[[1.0, 1.0, 1.0, 1.0], [5.0, 5.0, 5.0, 5.0]],
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dtype=np.float64,
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)
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arg_cases = [
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[1],
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[],
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[1, index],
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]
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kwarg_cases = [
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{
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'index': index,
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},
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{'index': index, 'dim': 1},
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{},
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]
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for args, kwargs in zip(arg_cases, kwarg_cases):
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res = paddle.gather(inputs, *args, **kwargs)
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np.testing.assert_allclose(res.numpy(), gt)
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def test_error_handling_and_special_cases(self):
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too_few_args = (
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"Too few arguments in the function call: {p1}, {p2}. Expect one of: \n"
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" - (Tensor input, int dim, Tensor index, *, Tensor out = None)\n"
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" - (Tensor x, Tensor index, int axis, str name = None, Tensor out = None)"
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)
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dummy_input = paddle.arange(0, 12, dtype=paddle.float64).reshape([3, 4])
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dummy_index = paddle.ones([3, 3], dtype=paddle.int64)
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dummy_dim = 1
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with self.assertRaises(TypeError) as cm:
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paddle.gather(dummy_input)
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self.assertEqual(str(cm.exception), too_few_args.format(p1=1, p2=0))
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with self.assertRaises(TypeError) as cm:
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paddle.gather(input=dummy_input)
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self.assertEqual(str(cm.exception), too_few_args.format(p1=0, p2=1))
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if __name__ == '__main__':
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paddle.set_device('cpu')
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unittest.main()
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