wehub-resource-sync
112 lines
4.0 KiB
Python
112 lines
4.0 KiB
Python
# Copyright (c) 2022 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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import paddle.static
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paddle.enable_static()
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class TestIpuShard(unittest.TestCase):
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def _test(self):
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# build graph
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main_prog = paddle.static.Program()
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with paddle.static.program_guard(main_prog):
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a = paddle.static.data(name='data', shape=[None, 1], dtype='int32')
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b = a + 2 # scale : scale * x + bias, ipu_index : no
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with paddle.static.ipu_shard_guard(index=1):
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c = b + 1 # scale, ipu_index : 1
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with paddle.static.ipu_shard_guard(index=2):
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d = c * 2 # scale, ipu_index : 2
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with paddle.static.ipu_shard_guard(index=3):
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e = d + 3 # scale, ipu_index : 3
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with paddle.static.ipu_shard_guard(index=1):
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e = e + 3 # scale, ipu_index : 1
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with paddle.static.ipu_shard_guard(index=2):
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e = e + 3 # scale, ipu_index : 2
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with paddle.static.ipu_shard_guard(index=1):
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f = paddle.tensor.pow(e, 2.0) # pow, ipu_index : 1
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with paddle.static.ipu_shard_guard(index=2):
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g = f - 1 # scale, ipu_index : 2
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h = g + 1 # scale, ipu_index : no
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ipu_index_list = []
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for op in main_prog.global_block().ops:
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if op.desc.has_attr("ipu_index"):
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ipu_index_list.append(op.desc.attr("ipu_index"))
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return ipu_index_list
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def test_ipu_shard(self):
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ipu_index_list = self._test()
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expected_ipu_index_list = [1, 2, 3, 1, 2, 1, 2]
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np.testing.assert_allclose(
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ipu_index_list, expected_ipu_index_list, rtol=1e-05, atol=0
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)
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class TestIpuPipeline(unittest.TestCase):
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def _test(self):
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# build graph
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main_prog = paddle.static.Program()
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with paddle.static.program_guard(main_prog):
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a = paddle.static.data(name='data', shape=[None, 1], dtype='int32')
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b = a + 2 # scale : scale * x + bias, ipu_stage : no
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with paddle.static.ipu_shard_guard(stage=1):
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c = b + 1 # scale, ipu_stage : 1
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with paddle.static.ipu_shard_guard(stage=2):
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d = c * 2 # scale, ipu_stage : 2
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with paddle.static.ipu_shard_guard(stage=3):
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e = d + 3 # scale, ipu_stage : 3
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with paddle.static.ipu_shard_guard(stage=1):
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e = e + 3 # scale, ipu_stage : 1
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with paddle.static.ipu_shard_guard(stage=2):
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e = e + 3 # scale, ipu_stage : 2
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with paddle.static.ipu_shard_guard(stage=1):
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f = paddle.tensor.pow(e, 2.0) # pow, ipu_stage : 1
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with paddle.static.ipu_shard_guard(stage=2):
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g = f - 1 # scale, ipu_stage : 2
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h = g + 1 # scale, ipu_stage : no
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ipu_index_list = []
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for op in main_prog.global_block().ops:
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if op.desc.has_attr("ipu_stage"):
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ipu_index_list.append(op.desc.attr("ipu_stage"))
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return ipu_index_list
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def test_ipu_shard(self):
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ipu_index_list = self._test()
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expected_ipu_index_list = [1, 2, 3, 1, 2, 1, 2]
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np.testing.assert_allclose(
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ipu_index_list, expected_ipu_index_list, rtol=1e-05, atol=0
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)
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if __name__ == "__main__":
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unittest.main()
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