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Unverified Commit 9270f9b8 authored by J-shang's avatar J-shang Committed by GitHub
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Update confidence=8 in speed up test (#3967)

parent b65830e0
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Showing with 6 additions and 6 deletions
test/ut/sdk/test_model_speedup.py
View file @ 9270f9b8
......@@ -295,7 +295,7 @@ class SpeedupTestCase(TestCase):
mask_out = model(dummy_input)
model.train()
ms = ModelSpeedup(model, dummy_input, MASK_FILE, confidence=2)
ms = ModelSpeedup(model, dummy_input, MASK_FILE, confidence=8)
ms.speedup_model()
assert model.training
......@@ -331,7 +331,7 @@ class SpeedupTestCase(TestCase):
new_model = TransposeModel()
state_dict = torch.load(MODEL_FILE)
new_model.load_state_dict(state_dict)
ms = ModelSpeedup(new_model, dummy_input, MASK_FILE, confidence=2)
ms = ModelSpeedup(new_model, dummy_input, MASK_FILE, confidence=8)
ms.speedup_model()
zero_bn_bias(ori_model)
zero_bn_bias(new_model)
......@@ -405,7 +405,7 @@ class SpeedupTestCase(TestCase):
if speedup_cfg is None:
speedup_cfg = {}
ms = ModelSpeedup(speedup_model, data,
MASK_FILE, confidence=2, **speedup_cfg)
MASK_FILE, confidence=8, **speedup_cfg)
ms.speedup_model()
speedup_model.eval()
......@@ -439,7 +439,7 @@ class SpeedupTestCase(TestCase):
net.eval()
data = torch.randn(BATCH_SIZE, 3, 128, 128).to(device)
ms = ModelSpeedup(net, data, MASK_FILE, confidence=2)
ms = ModelSpeedup(net, data, MASK_FILE, confidence=8)
ms.speedup_model()
ms.bound_model(data)
......@@ -461,7 +461,7 @@ class SpeedupTestCase(TestCase):
pruner.compress()
model(dummy_input)
pruner.export_model(MODEL_FILE, MASK_FILE)
ms = ModelSpeedup(model, dummy_input, MASK_FILE, confidence=2)
ms = ModelSpeedup(model, dummy_input, MASK_FILE, confidence=8)
ms.speedup_model()
def test_finegrained_speedup(self):
......@@ -490,7 +490,7 @@ class SpeedupTestCase(TestCase):
print(model)
pruner.export_model(MODEL_FILE, MASK_FILE)
pruner._unwrap_model()
ms = ModelSpeedup(model, dummy_input, MASK_FILE, confidence=4)
ms = ModelSpeedup(model, dummy_input, MASK_FILE, confidence=8)
ms.speedup_model()
print("Fine-grained speeduped model")
print(model)
......
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