fix path for PaddleNLP

framework/e2e/api_benchmark_new/debug_case/bilinear_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test bilinear_0
+test Bilinear_0
 """
 import timeit
 from inspect import isclass
@@ -43,12 +43,12 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.bilinear"
+api = "paddle.nn.Bilinear"
 all_data = {
-    "x1": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1], "range": [-1, 1]},
-    "x2": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1], "range": [-1, 1]},
+    "data0": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1], "range": [-1, 1]},
+    "data1": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1], "range": [-1, 1]},
 }
-params = {"weight": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1], "range": [-1, 1]}}
+params = {"in1_features": 1, "in2_features": 1, "out_features": 1}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/celu_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test celu_0
+test CELU_0
 """
 import timeit
 from inspect import isclass
@@ -43,9 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.celu"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
-params = {"alpha": 1.0}
+api = "paddle.nn.CELU"
+all_data = {"data": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1], "range": [-1, 1]}}
+params = {}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/conv1d_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test conv1d_0
+test Conv1D_0
 """
 import timeit
 from inspect import isclass
@@ -43,13 +43,17 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.conv1d"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1], "range": [-1, 1]}}
+api = "paddle.nn.Conv1D"
+all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1, 1], "range": [-1, 1]}}
 params = {
-    "weight": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1], "range": [-1, 1]},
-    "bias": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1], "range": [-1, 1]},
+    "in_channels": 1,
+    "out_channels": 1,
+    "kernel_size": 1,
     "stride": 1,
     "padding": 0,
+    "dilation": 1,
+    "groups": 1,
+    "padding_mode": "zeros",
 }
 
 inputs = {}

framework/e2e/api_benchmark_new/debug_case/conv2d_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test conv2d_0
+test Conv2D_0
 """
 import timeit
 from inspect import isclass
@@ -43,14 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.conv2d"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
-params = {
-    "weight": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]},
-    "bias": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1], "range": [-1, 1]},
-    "stride": 1,
-    "padding": 0,
-}
+api = "paddle.nn.Conv2D"
+all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
+params = {"in_channels": 1, "out_channels": 1, "kernel_size": 1, "stride": 1, "padding": 0, "dilation": 1, "groups": 1}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/conv3d_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test conv3d_0
+test Conv3D_0
 """
 import timeit
 from inspect import isclass
@@ -43,13 +43,17 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.conv3d"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1, 1], "range": [-1, 1]}}
+api = "paddle.nn.Conv3D"
+all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1, 1, 1, 1], "range": [-1, 1]}}
 params = {
-    "weight": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1, 1], "range": [-1, 1]},
-    "bias": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1], "range": [-1, 1]},
+    "in_channels": 1,
+    "out_channels": 1,
+    "kernel_size": 1,
     "stride": 1,
     "padding": 0,
+    "dilation": 1,
+    "groups": 1,
+    "padding_mode": "zeros",
 }
 
 inputs = {}

framework/e2e/api_benchmark_new/debug_case/dropout2d_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test dropout2d_0
+test Dropout2D_0
 """
 import timeit
 from inspect import isclass
@@ -43,9 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.dropout2d"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
-params = {"p": 0.5, "training": False}
+api = "paddle.nn.Dropout2D"
+all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
+params = {"p": 0.5}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/dropout3d_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test dropout3d_0
+test Dropout3D_0
 """
 import timeit
 from inspect import isclass
@@ -43,9 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.dropout3d"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1, 1], "range": [-1, 1]}}
-params = {"p": 0.5, "training": False}
+api = "paddle.nn.Dropout3D"
+all_data = {"data": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1, 1], "range": [-1, 1]}}
+params = {"p": 0.5}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/dropout_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test dropout_0
+test Dropout_0
 """
 import timeit
 from inspect import isclass
@@ -43,7 +43,7 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.dropout"
+api = "paddle.nn.Dropout"
 all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
 params = {"p": 0.5}
 

framework/e2e/api_benchmark_new/debug_case/elu_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test elu_0
+test ELU_0
 """
 import timeit
 from inspect import isclass
@@ -43,8 +43,8 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.elu"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
+api = "paddle.nn.ELU"
+all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
 params = {"alpha": 1.0}
 
 inputs = {}

framework/e2e/api_benchmark_new/debug_case/embedding_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test embedding_0
+test Embedding_0
 """
 import timeit
 from inspect import isclass
@@ -43,13 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.embedding"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "int32", "shape": [1, 1], "range": [0, 1]}}
-params = {
-    "weight": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1], "range": [-1, 1]},
-    "padding_idx": -1,
-    "sparse": False,
-}
+api = "paddle.nn.Embedding"
+all_data = {"x": {"random": True, "dtype": "int32", "shape": [1, 1, 1, 1], "range": [0, 3]}}
+params = {"num_embeddings": 4, "embedding_dim": 4, "padding_idx": None, "sparse": False}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/flatten_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test flatten_0
+test Flatten_0
 """
 import timeit
 from inspect import isclass
@@ -43,9 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.flatten"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
-params = {}
+api = "paddle.nn.Flatten"
+all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
+params = {"start_axis": 1, "stop_axis": -1}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/gelu_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test gelu_0
+test GELU_0
 """
 import timeit
 from inspect import isclass
@@ -43,9 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.gelu"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-2, 5]}}
-params = {"approximate": False}
+api = "paddle.nn.GELU"
+all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
+params = {}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/hardshrink_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test hardshrink_0
+test Hardshrink_0
 """
 import timeit
 from inspect import isclass
@@ -43,9 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.hardshrink"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
-params = {"threshold": 0.75}
+api = "paddle.nn.Hardshrink"
+all_data = {"data": {"random": False, "type": "Tensor", "dtype": "float32", "value": [-1, 0.3, 2.5]}}
+params = {}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/hardsigmoid_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test hardsigmoid_0
+test Hardsigmoid_0
 """
 import timeit
 from inspect import isclass
@@ -43,9 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.hardsigmoid"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-2, 5]}}
-params = {"slope": 0.1666667, "offset": 0.5}
+api = "paddle.nn.Hardsigmoid"
+all_data = {"data": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1], "range": [-1, 1]}}
+params = {}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/hardswish_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test hardswish_0
+test Hardswish_0
 """
 import timeit
 from inspect import isclass
@@ -43,8 +43,8 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.hardswish"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-2, 5]}}
+api = "paddle.nn.Hardswish"
+all_data = {"data": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1], "range": [-1, 1]}}
 params = {}
 
 inputs = {}

framework/e2e/api_benchmark_new/debug_case/hardtanh_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test hardtanh_0
+test Hardtanh_0
 """
 import timeit
 from inspect import isclass
@@ -43,9 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.hardtanh"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1, 1, 1], "range": [-1, 1]}}
-params = {"min": -1.0, "max": 1.0}
+api = "paddle.nn.Hardtanh"
+all_data = {"data": {"random": False, "type": "Tensor", "dtype": "float32", "value": [-1.5, 0.3, 2.5]}}
+params = {}
 
 inputs = {}
 for data, v in all_data.items():

framework/e2e/api_benchmark_new/debug_case/linear_0.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
 """
-test linear_0
+test Linear_0
 """
 import timeit
 from inspect import isclass
@@ -43,12 +43,9 @@ def _randtool(dtype, low, high, shape):
         assert False, "dtype is not supported"
 
 
-api = "paddle.nn.functional.linear"
-all_data = {"x": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1], "range": [-1, 1]}}
-params = {
-    "weight": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1, 1], "range": [-1, 1]},
-    "bias": {"random": True, "type": "Tensor", "dtype": "float32", "shape": [1], "range": [-1, 1]},
-}
+api = "paddle.nn.Linear"
+all_data = {"x": {"random": True, "dtype": "float32", "shape": [1, 1], "range": [-1, 1]}}
+params = {"in_features": 1, "out_features": 1}
 
 inputs = {}
 for data, v in all_data.items():