wehub-resource-sync
164 lines
4.1 KiB
Python
164 lines
4.1 KiB
Python
# Copyright (c) 2023 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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from __future__ import annotations
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import unittest
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from test_case_base import TestCaseBase
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import paddle
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from paddle.jit import sot
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from paddle.jit.sot.utils import min_graph_size_guard, strict_mode_guard
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def case_for(x, vars):
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x = x + 1
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sot.psdb.breakgraph()
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for y in vars:
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x += y
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return x
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def case_if(x):
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x = x + 1
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if x > 5:
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x += 3
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else:
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x += 4
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return x
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def case_call(x):
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y = paddle.to_tensor(x.numpy())
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x += y
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return x
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def call_with_kwargs_inner(x):
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return paddle.to_tensor(x.numpy())
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def call_with_kwargs(x):
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y = call_with_kwargs_inner(x=x)
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x += y
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return x
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def case_all(x, vars):
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x = x + 1
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for y in vars:
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z = paddle.to_tensor(x.numpy())
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x += z
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x += y
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if x > 5:
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x += y
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else:
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x += 3
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return x
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class CustomLayer(paddle.nn.Layer):
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def forward(self, x):
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return self.forward_features(x)
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def forward_features(self, x):
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return x.numpy()
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def get_arg_from_kwargs(x, **kwargs):
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x = x if x is not None else None
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y = kwargs.get("y", None)
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paddle.jit.sot.psdb.breakgraph()
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return x, y
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def add_with_breakgraph(x, y):
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sot.psdb.breakgraph()
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return x + y
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def restore_same_arg_when_fallback(x):
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return add_with_breakgraph(x, x)
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def trim_trailing_to_bool(x, y):
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return x and y
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def always_use_load_fast_with_strong_ref(x):
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y = x + 1
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# In this case, originally y will be load with LOAD_FAST_BORROW
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# When breakgraph, the y on the stack, it will be stored and loaded with LOAD_FAST
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# But since y is not a strong ref, it may be GCed before loaded again
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# We add a pass to make sure y is a strong ref, so it will not be GCed
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# when loaded again.
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_stack_ref = (y, paddle.jit.sot.psdb.breakgraph())
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x = y + 1
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return x
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class TestMinGraphSize(TestCaseBase):
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@strict_mode_guard(False)
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@min_graph_size_guard(10)
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def test_cases(self):
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x = paddle.to_tensor(1)
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self.assert_results(case_for, x, [1, 2, 3])
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self.assert_results(case_if, x)
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self.assert_results(case_call, x)
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self.assert_results(case_all, x, [4, 5, 6])
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@min_graph_size_guard(10)
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def test_layer(self):
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x = paddle.to_tensor(1)
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layer = CustomLayer()
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self.assert_results(layer.forward, x)
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@min_graph_size_guard(10)
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def test_layer_multiple_times(self):
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x = paddle.to_tensor(1)
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layer = CustomLayer()
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for _ in range(8):
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self.assert_results(layer.forward, x)
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@min_graph_size_guard(10)
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def test_call_with_kwargs(self):
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x = paddle.to_tensor(1)
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self.assert_results(call_with_kwargs, x)
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@min_graph_size_guard(10)
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def test_get_arg_from_kwargs(self):
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self.assert_results(get_arg_from_kwargs, None)
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self.assert_results(get_arg_from_kwargs, None, y=1)
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@min_graph_size_guard(10)
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def test_restore_same_arg_when_fallback(self):
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x = paddle.to_tensor(1)
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self.assert_results(restore_same_arg_when_fallback, x)
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@min_graph_size_guard(10)
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def test_trim_trailing_to_bool(self):
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x = paddle.to_tensor(False)
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y = paddle.to_tensor(False)
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self.assert_results(trim_trailing_to_bool, x, y)
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@min_graph_size_guard(10)
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def test_always_use_load_fast_with_strong_ref(self):
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x = paddle.to_tensor(1)
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self.assert_results(always_use_load_fast_with_strong_ref, x)
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if __name__ == "__main__":
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unittest.main()
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