[CUDAGraph]Switch the scope so that output buffer of CUDAGraph can automatically release (#3612)
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* fix typo

* fix typo

* add print dot files

* fix bug

* Switch the scope so that output buffer of cudagraph can automatically release

* Revert "add print dot files"

This reverts commit dc21809eb5.
This commit is contained in:
RAM
2025-08-26 21:28:19 +08:00
committed by GitHub
parent 82e64b13e1
commit f0a362af18
3 changed files with 34 additions and 17 deletions

View File

@@ -98,33 +98,50 @@ class TestCUDAGrpahRecapture(unittest.TestCase):
)
# Run Test Case1
test_model1 = TestModel1(fd_config=fd_config)
input_tensor1 = paddle.ones([32768])
self.test_model1 = TestModel1(fd_config=fd_config)
input_tensor1 = paddle.ones([1, 32768])
forward_meta1 = ForwardMeta(input_ids=input_tensor1, ids_remove_padding=input_tensor1, step_use_cudagraph=True)
# Corrent output
self.output_correct = self.test_model1.forward_correct(
ids_remove_padding=input_tensor1, forward_meta=forward_meta1
)
# Capture and Destory
self.capture_and_replay(input_tensor1, forward_meta1)
self.recapture_and_replay(input_tensor1, forward_meta1)
def capture_and_replay(self, input_tensor1, forward_meta1):
""" """
# Triger Capture
print_gpu_memory_use(0, "before capture")
_ = test_model1(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
output1 = self.test_model1(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
print_gpu_memory_use(0, "after capture")
# Reaplay
output1 = test_model1(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
output1 = self.test_model1(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
assert (output1 == self.output_correct).all()
# Destory
print_gpu_memory_use(0, "before destory")
test_model1.clear_grpah_opt_backend()
self.test_model1.clear_grpah_opt_backend()
print_gpu_memory_use(0, "after destory")
def recapture_and_replay(self, input_tensor1, forward_meta1):
""" """
# Triger Capture
print_gpu_memory_use(0, "before recapture")
_ = test_model1(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
output2 = self.test_model1(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
print_gpu_memory_use(0, "after recapture")
# Reaplay
output2 = test_model1(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
output2 = self.test_model1(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
assert (output2 == self.output_correct).all()
# Corrent output
output1_correct = test_model1.forward_correct(ids_remove_padding=input_tensor1, forward_meta=forward_meta1)
assert sum(output1 - output2) == 0
assert sum(output1_correct - output1) == 0
# Destory
print_gpu_memory_use(0, "before destory")
self.test_model1.clear_grpah_opt_backend()
print_gpu_memory_use(0, "after destory")
if __name__ == "__main__":