# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import unittest from test_case_base import ( TestCaseBase, test_instruction_translator_cache_context, ) import paddle from paddle import nn @paddle.jit.marker.capture_control_flow def inner_fn_with_control_flow_explicit_capture(x): if x.sum() > 0: x += 1 else: x -= 1 return x def fn_with_control_flow_explicit_capture(x): x = inner_fn_with_control_flow_explicit_capture(x) return x + 1 def fn_without_capture(x): if x.sum() > 0: x += 1 else: x -= 1 return x + 1 class TestCaptureControlFlow(TestCaseBase): def test_case_without_capture_control_flow(self): with test_instruction_translator_cache_context() as ctx: self.assertEqual(ctx.translate_count, 0) x = paddle.full([3, 3], 1) self.assert_results(fn_without_capture, x) self.assertEqual(ctx.translate_count, 2) x = paddle.full([3, 3], -1) self.assert_results(fn_without_capture, x) self.assertEqual(ctx.translate_count, 3) def test_case_capture_control_flow(self): with test_instruction_translator_cache_context() as ctx: self.assertEqual(ctx.translate_count, 0) x = paddle.full([3, 3], 1) self.assert_results(fn_with_control_flow_explicit_capture, x) self.assertEqual(ctx.translate_count, 1) x = paddle.full([3, 3], -1) self.assert_results(fn_with_control_flow_explicit_capture, x) self.assertEqual(ctx.translate_count, 1) class NetWithCaptureControlFlow(nn.Layer): def __init__(self): super().__init__() self.layer = nn.Linear(8, 8) @paddle.jit.marker.capture_control_flow def fn(self, x): x = self.layer(x) if x.sum() > 0: x += paddle.ones_like(x) else: x -= paddle.zeros_like(x) return x def forward(self, x): return self.fn(x) + 1 def model_call(x: paddle.Tensor, net: paddle.nn.Layer): return net(x) class TestEagerParamsToPirValue(TestCaseBase): def test_case_without_capture_control_flow(self): model = NetWithCaptureControlFlow() with test_instruction_translator_cache_context() as ctx: self.assertEqual(ctx.translate_count, 0) x = paddle.randn([4, 8]) self.assert_results(model_call, x, model) self.assertEqual(ctx.translate_count, 1) x = paddle.randn([4, 8]) self.assert_results(model_call, x, model) self.assertEqual(ctx.translate_count, 1) if __name__ == "__main__": unittest.main()