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[fixbugs] adjusting TestFusedBiasDropoutResidualLayerNorm to support dynamic shape #71055

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merged 2 commits into from
Feb 11, 2025
Merged

[fixbugs] adjusting TestFusedBiasDropoutResidualLayerNorm to support dynamic shape #71055

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54fb691
Update test_converter_norm.py
PolaKuma Feb 8, 2025
4f702ac
Update test_converter_norm.py
PolaKuma Feb 8, 2025
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28 changes: 12 additions & 16 deletions test/tensorrt/test_converter_norm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,8 +104,6 @@ def fused_bias_dropout_residual_layer_norm(
dropout_rate,
ln_epsilon,
):
x = paddle.to_tensor(x)
residual = paddle.to_tensor(residual)
bias = paddle.create_parameter(
shape=bias_shape, dtype='float32', name="bias"
)
Expand Down Expand Up @@ -138,10 +136,10 @@ def setUp(self):
"dropout_rate": 0.0,
"ln_epsilon": 1e-5,
}
self.program_config = {"feed_list": []}
self.min_shape = {}
self.opt_shape = {}
self.max_shape = {}
self.program_config = {"feed_list": ["x", "residual"]}
self.min_shape = {"x": [2, 4, 128]}
self.opt_shape = {"x": [4, 4, 128]}
self.max_shape = {"x": [8, 4, 128]}

def test_fp16_trt_result(self):
self.check_trt_result(rtol=1e-2, atol=1e-2, precision_mode="fp16")
Expand All @@ -159,19 +157,17 @@ def setUp(self):
"dropout_rate": 0.0,
"ln_epsilon": 1e-5,
}
self.program_config = {"feed_list": []}
self.min_shape = {}
self.opt_shape = {}
self.max_shape = {}
self.program_config = {"feed_list": ["x", "residual"]}
self.min_shape = {"x": [2, 4, 128]}
self.opt_shape = {"x": [4, 4, 128]}
self.max_shape = {"x": [8, 4, 128]}

def test_fp32_trt_result(self):
self.check_trt_result()


class TestFusedBiasDropoutResidualLayerNormErrorTRTPattern(TensorRTBaseTest):
def setUp(self):
paddle.seed(42)
np.random.seed(42)
self.python_api = fused_bias_dropout_residual_layer_norm
self.api_args = {
"x": np.random.rand(2, 4, 128).astype("float32"),
Expand All @@ -182,10 +178,10 @@ def setUp(self):
"dropout_rate": 1.0,
"ln_epsilon": 1e-5,
}
self.program_config = {"feed_list": []}
self.min_shape = {}
self.opt_shape = {}
self.max_shape = {}
self.program_config = {"feed_list": ["x", "residual"]}
self.min_shape = {"x": [2, 4, 128]}
self.opt_shape = {"x": [4, 4, 128]}
self.max_shape = {"x": [8, 4, 128]}

def test_trt_result(self):
self.check_marker(expected_result=False)
Expand Down