wehub-resource-sync
54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
# Copyright (c) 2024 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 paddle
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import paddle.distributed as dist
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from paddle.distributed.auto_parallel.static.pir_pass import ReshardPasses
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paddle.enable_static()
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BATCH_SIZE = 2
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SEQ_LEN = 4
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HIDDEN_SIZE = 8
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MP_SIZE = 2
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class TestFoldReshardPass(unittest.TestCase):
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def test_base(self):
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main_program = paddle.base.Program()
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start_program = paddle.base.Program()
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with paddle.base.program_guard(main_program, start_program):
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mesh = dist.ProcessMesh([0, 1], dim_names=['x'])
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input = paddle.static.data(
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name='input', shape=[BATCH_SIZE, SEQ_LEN, HIDDEN_SIZE]
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)
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dist_input = dist.shard_tensor(input, mesh, [dist.Replicate()])
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x1 = dist.reshard(dist_input, mesh, [dist.Shard(0)])
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y1 = dist.reshard(dist_input, mesh, [dist.Shard(0)])
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z = x1 + y1
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reshard_op_num = 0
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for op in main_program.global_block().ops:
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if op.name() == "dist_op.reshard":
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reshard_op_num += 1
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self.assertEqual(reshard_op_num, 2)
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ReshardPasses.fold_reshard_pass(main_program)
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reshard_op_num = 0
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for op in main_program.global_block().ops:
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if op.name() == "dist_op.reshard":
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reshard_op_num += 1
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self.assertEqual(reshard_op_num, 1)
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