wehub-resource-sync
107 lines
3.2 KiB
Python
107 lines
3.2 KiB
Python
# Copyright (c) 2025 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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from test_case_base import (
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TestCaseBase,
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test_instruction_translator_cache_context,
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)
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import paddle
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from paddle import nn
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@paddle.jit.marker.capture_control_flow
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def inner_fn_with_control_flow_explicit_capture(x):
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if x.sum() > 0:
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x += 1
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else:
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x -= 1
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return x
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def fn_with_control_flow_explicit_capture(x):
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x = inner_fn_with_control_flow_explicit_capture(x)
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return x + 1
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def fn_without_capture(x):
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if x.sum() > 0:
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x += 1
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else:
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x -= 1
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return x + 1
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class TestCaptureControlFlow(TestCaseBase):
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def test_case_without_capture_control_flow(self):
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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x = paddle.full([3, 3], 1)
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self.assert_results(fn_without_capture, x)
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self.assertEqual(ctx.translate_count, 2)
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x = paddle.full([3, 3], -1)
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self.assert_results(fn_without_capture, x)
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self.assertEqual(ctx.translate_count, 3)
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def test_case_capture_control_flow(self):
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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x = paddle.full([3, 3], 1)
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self.assert_results(fn_with_control_flow_explicit_capture, x)
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self.assertEqual(ctx.translate_count, 1)
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x = paddle.full([3, 3], -1)
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self.assert_results(fn_with_control_flow_explicit_capture, x)
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self.assertEqual(ctx.translate_count, 1)
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class NetWithCaptureControlFlow(nn.Layer):
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def __init__(self):
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super().__init__()
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self.layer = nn.Linear(8, 8)
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@paddle.jit.marker.capture_control_flow
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def fn(self, x):
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x = self.layer(x)
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if x.sum() > 0:
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x += paddle.ones_like(x)
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else:
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x -= paddle.zeros_like(x)
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return x
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def forward(self, x):
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return self.fn(x) + 1
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def model_call(x: paddle.Tensor, net: paddle.nn.Layer):
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return net(x)
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class TestEagerParamsToPirValue(TestCaseBase):
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def test_case_without_capture_control_flow(self):
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model = NetWithCaptureControlFlow()
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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x = paddle.randn([4, 8])
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self.assert_results(model_call, x, model)
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self.assertEqual(ctx.translate_count, 1)
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x = paddle.randn([4, 8])
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self.assert_results(model_call, x, model)
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self.assertEqual(ctx.translate_count, 1)
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if __name__ == "__main__":
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unittest.main()
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