wehub-resource-sync
79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
# Copyright (c) 2018 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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from op_test import get_device_place, is_custom_device
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import paddle
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from paddle.base import core
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from paddle.distributed.models.moe import utils
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def random_routing(topk_idx, topk_value, prob, topk=2):
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if topk == 2:
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new_topk_idx = np.copy(topk_idx)
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for i in range(len(topk_idx)):
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val = topk_value[i][1]
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if val * 2 < prob[i]:
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new_topk_idx[i][1] = -1
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return new_topk_idx
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else:
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raise RuntimeError("only topk=2 is supported now")
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@unittest.skipIf(
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not (core.is_compiled_with_cuda() or is_custom_device()),
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"core is not compiled with CUDA",
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)
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class TestNumberCountAPIFp32(unittest.TestCase):
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def setUp(self):
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self.dtype = "float32"
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self.init()
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def init(self):
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self.upper_range = 8
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self.x = np.random.randint(-1, self.upper_range, size=(200, 2)).astype(
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'int64'
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)
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self.prob = np.random.random((self.x.shape[0],)).astype(self.dtype)
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self.topk_value = np.random.random(self.x.shape).astype(self.dtype)
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self.out = random_routing(self.x, self.topk_value, self.prob).astype(
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self.dtype
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)
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self.place = get_device_place()
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def test_api_dygraph(self):
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paddle.disable_static()
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x = paddle.to_tensor(self.x)
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value = paddle.to_tensor(self.topk_value)
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prob = paddle.to_tensor(self.prob)
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out = utils._random_routing(x, value, prob)
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np.testing.assert_allclose(out.numpy(), self.out)
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@unittest.skipIf(
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not (core.is_compiled_with_cuda() or is_custom_device()),
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"core is not compiled with CUDA",
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)
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class TestNumberCountAPIFp16(TestNumberCountAPIFp32):
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def setUp(self):
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self.dtype = "float16"
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self.init()
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if __name__ == '__main__':
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paddle.enable_static()
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unittest.main()
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