wehub-resource-sync
287 lines
8.4 KiB
Python
287 lines
8.4 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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from paddle import nn
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from paddle.static import set_ipu_shard
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paddle.enable_static()
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class SimpleNet(paddle.nn.Layer):
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def __init__(self, input_size, output_size):
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super().__init__()
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self.linear1 = nn.Linear(input_size, output_size)
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self.relu1 = nn.ReLU()
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self.linear2 = nn.Linear(input_size, output_size)
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self.relu2 = nn.ReLU()
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self.linear3 = nn.Linear(input_size, output_size)
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def forward(self, x):
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x = self.linear1(x)
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x = self.relu1(x)
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x = self.linear_relu2(x)
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x = self.linear3(x)
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return x
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def linear_relu2(self, x):
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x = self.linear2(x)
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x = self.relu2(x)
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return x
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class TestSetIpuShard(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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x = paddle.static.data(name='X', shape=[10, 46], dtype='float32')
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label = paddle.static.data(
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name='Y', shape=[10, 46], dtype='float32'
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)
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model = SimpleNet(46, 46)
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set_ipu_shard(model.linear1, index=1)
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set_ipu_shard(model.relu1, index=2)
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model.linear_relu2 = set_ipu_shard(model.linear_relu2, index=3)
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model.linear3 = set_ipu_shard(model.linear3, index=4)
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out = model(x)
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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_set_ipu_shard(self):
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ipu_index_list = self._test()
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expected_ipu_index_list = [1, 1, 2, 3, 3, 3, 4, 4]
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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 TestSetIpuPipeline(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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x = paddle.static.data(name='X', shape=[10, 46], dtype='float32')
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label = paddle.static.data(
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name='Y', shape=[10, 46], dtype='float32'
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)
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model = SimpleNet(46, 46)
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set_ipu_shard(model.linear1, stage=1)
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set_ipu_shard(model.relu1, stage=2)
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model.linear_relu2 = set_ipu_shard(model.linear_relu2, stage=3)
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model.linear3 = set_ipu_shard(model.linear3, stage=4)
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out = model(x)
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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_set_ipu_shard(self):
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ipu_index_list = self._test()
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expected_ipu_index_list = [1, 1, 2, 3, 3, 3, 4, 4]
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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 TestSetIpuShardAndPipeline(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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x = paddle.static.data(name='X', shape=[10, 46], dtype='float32')
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label = paddle.static.data(
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name='Y', shape=[10, 46], dtype='float32'
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)
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model = SimpleNet(46, 46)
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set_ipu_shard(model.linear1, index=1, stage=2)
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set_ipu_shard(model.relu1, index=2, stage=3)
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model.linear_relu2 = set_ipu_shard(
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model.linear_relu2, index=3, stage=4
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)
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model.linear3 = set_ipu_shard(model.linear3, index=4, stage=1)
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out = model(x)
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ipu_index_list = []
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ipu_stage_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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if op.desc.has_attr("ipu_stage"):
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ipu_stage_list.append(op.desc.attr("ipu_stage"))
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return ipu_index_list + ipu_stage_list
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def test_set_ipu_shard(self):
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ipu_index_list = self._test()
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expected_ipu_index_list = [
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1,
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1,
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2,
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3,
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3,
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3,
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4,
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4,
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2,
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2,
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3,
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4,
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4,
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4,
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1,
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1,
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]
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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 TestSetIpuForModel(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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x = paddle.static.data(name='X', shape=[10, 46], dtype='float32')
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label = paddle.static.data(
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name='Y', shape=[10, 46], dtype='float32'
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)
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model = SimpleNet(46, 46)
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set_ipu_shard(model, index=1, stage=2)
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out = model(x)
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ipu_index_list = []
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ipu_stage_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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if op.desc.has_attr("ipu_stage"):
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ipu_stage_list.append(op.desc.attr("ipu_stage"))
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return ipu_index_list + ipu_stage_list
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def test_set_ipu_shard(self):
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ipu_index_list = self._test()
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expected_ipu_index_list = [
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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1,
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2,
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2,
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2,
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2,
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2,
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2,
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2,
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2,
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]
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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 TestSetIpuMixedModel(unittest.TestCase):
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def setUp(self):
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def linear_relu2_mixed(self, x):
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with paddle.static.ipu_shard_guard(index=2, stage=3):
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x = self.linear2(x)
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with paddle.static.ipu_shard_guard(index=3, stage=4):
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x = self.relu2(x)
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return x
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self._old_linear = SimpleNet.linear_relu2
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SimpleNet.linear_relu2 = linear_relu2_mixed
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def tearDown(self):
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SimpleNet.linear_relu2 = self._old_linear
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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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x = paddle.static.data(name='X', shape=[10, 46], dtype='float32')
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label = paddle.static.data(
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name='Y', shape=[10, 46], dtype='float32'
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)
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model = SimpleNet(46, 46)
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set_ipu_shard(model.linear1, index=1, stage=2)
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set_ipu_shard(model.relu1, index=2, stage=3)
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model.linear3 = set_ipu_shard(model.linear3, index=4, stage=1)
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out = model(x)
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ipu_index_list = []
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ipu_stage_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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if op.desc.has_attr("ipu_stage"):
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ipu_stage_list.append(op.desc.attr("ipu_stage"))
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return ipu_index_list + ipu_stage_list
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def test_set_ipu_shard(self):
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ipu_index_list = self._test()
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expected_ipu_index_list = [
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1,
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1,
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2,
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2,
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2,
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3,
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4,
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4,
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2,
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2,
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3,
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3,
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3,
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4,
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1,
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1,
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]
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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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