plt fix api case (#2945)

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* add plt export, test=model

* fix plt start, test=model

* fix plt start, test=model

* fix plt start, test=model

* fix plt start, test=model

* fix plt perf, test=model

* add plt bm ignore, test=model

* update plt start.sh, test=model

* update plt start.sh, test=model

* add inputspec plt ci, test=model

* add inputspec plt ci, test=model

* update plt ci, test=model

* update plt ci, test=model

* update plt ci, test=model

* update plt ci, test=model

* update plt ci, test=model

* update plt gsb, test=model

* fix plt statistic, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* plt update net instance, test=model

* fix plt tools, test=model

* update ply add model case, test=model

* update ply add model case, test=model

* update ply add model case, test=model

* fix plt api case, test=model

framework/e2e/PaddleLT_new/layerApicase/inplace_stragtegy/__init__.py

@@ -0,0 +1,15 @@
+import os
+import glob
+
+# 获取当前文件所在目录
+current_dir = os.path.dirname(__file__)
+
+# 获取当前目录下所有的 .py 文件路径
+py_files = glob.glob(os.path.join(current_dir, "*.py"))
+
+# 动态导入所有 .py 文件
+for py_file in py_files:
+    # 获取文件名（不含扩展名）
+    module_name = os.path.basename(py_file)[:-3]
+    # 导入模块
+    __import__('layerApicase.inplace_stragtegy.' + module_name, globals(), locals(), [])

framework/e2e/PaddleLT_new/layerApicase/math_sublayer/broadcast_shape_0_func.py

@@ -16,6 +16,7 @@ def forward(self, ):
         forward
         """
         out = paddle.broadcast_shape( x_shape=[2, 1, 3, 1, 4, 2, 3], y_shape=[1, 2, 1, 1, 3], )
+        out = paddle.to_tensor(out, stop_gradient=False)
         return out
 
 

framework/e2e/PaddleLT_new/layerApicase/math_sublayer/broadcast_shape_base_func.py

@@ -16,6 +16,7 @@ def forward(self, ):
         forward
         """
         out = paddle.broadcast_shape( x_shape=[2, 3, 4, 4, 1], y_shape=[2, 3, 1, 4, 3], )
+        out = paddle.to_tensor(out, stop_gradient=False)
         return out
 
 

framework/e2e/PaddleLT_new/layerApicase/math_sublayer/dist_0_func.py

@@ -15,7 +15,7 @@ def forward(self, x, y, ):
         """
         forward
         """
-        out = paddle.dist(x, y,  p=-inf, )
+        out = paddle.dist(x, y,  p=float("-inf"), )
         return out
 
 

framework/e2e/PaddleLT_new/layerApicase/math_sublayer/dist_1_func.py

@@ -15,7 +15,7 @@ def forward(self, x, y, ):
         """
         forward
         """
-        out = paddle.dist(x, y,  p=inf, )
+        out = paddle.dist(x, y,  p=float("inf"), )
         return out
 
 

framework/e2e/PaddleLT_new/layerApicase/math_sublayer/median_1_func.py

@@ -15,7 +15,7 @@ def forward(self, x, ):
         """
         forward
         """
-        out = paddle.median(x,  axis=1, keepdims=True, )
+        out = paddle.median(x,  axis=1, keepdim=True, )
         return out
 
 

framework/e2e/PaddleLT_new/layerApicase/math_sublayer/median_base_func.py

@@ -15,7 +15,7 @@ def forward(self, x, ):
         """
         forward
         """
-        out = paddle.median(x,  axis=0, keepdims=False, )
+        out = paddle.median(x,  axis=0, keepdim=False, )
         return out
 
 

framework/e2e/PaddleLT_new/layerApicase/math_sublayer/put_along_axis_base_func.py

@@ -15,7 +15,7 @@ def forward(self, arr, ):
         """
         forward
         """
-        out = paddle.put_along_axis(arr,  indices=paddle.to_tensor([[[[0]]]], dtype='int32', stop_gradient=False), value=21.0, axis=0, )
+        out = paddle.put_along_axis(arr,  indices=paddle.to_tensor([[[[0]]]], dtype='int32', stop_gradient=False), values=21.0, axis=0, )
         return out
 
 

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_0_class.py

@@ -20,6 +20,13 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_2_class.py

@@ -20,18 +20,23 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
-    paddle tensor
+    numpy array
     """
-    inputs = ()
+    inputs = (paddle.to_tensor([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]], dtype='float32', stop_gradient=False), )
     return inputs
 
-
 def create_numpy_inputs():
     """
     numpy array
     """
-    inputs = (paddle.to_tensor([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]], dtype='float32', stop_gradient=False), )
+    inputs = (np.array([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]]).astype('float32'), )
     return inputs
-

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_3_class.py

@@ -20,18 +20,25 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor
     """
-    inputs = ()
+    inputs = (paddle.to_tensor([[0.6964692], [0.28613934]], dtype='float32', stop_gradient=False),)
     return inputs
 
 
 def create_numpy_inputs():
     """
     numpy array
     """
-    inputs = (paddle.to_tensor([[0.6964692], [0.28613934]], dtype='float32', stop_gradient=False), )
+    inputs = (np.array([[0.6964692], [0.28613934]]).astype('float32'), )
     return inputs
 

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_4_class.py

@@ -20,18 +20,25 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor
     """
-    inputs = ()
+    inputs = (paddle.to_tensor([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]], dtype='float32', stop_gradient=False), )
     return inputs
 
 
 def create_numpy_inputs():
     """
     numpy array
     """
-    inputs = (paddle.to_tensor([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]], dtype='float32', stop_gradient=False), )
+    inputs = (np.array([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]]).astype('float32'), )
     return inputs
 

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_5_class.py

@@ -20,18 +20,25 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor
     """
-    inputs = ()
+    inputs = (paddle.to_tensor([[0.6964692], [0.28613934]], dtype='float32', stop_gradient=False), )
     return inputs
 
 
 def create_numpy_inputs():
     """
     numpy array
     """
-    inputs = (paddle.to_tensor([[0.6964692], [0.28613934]], dtype='float32', stop_gradient=False), )
+    inputs = (np.array([[0.6964692], [0.28613934]]).astype('float32'), )
     return inputs
 

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_6_class.py

@@ -20,18 +20,25 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor
     """
-    inputs = ()
+    inputs = (paddle.to_tensor([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]], dtype='float32', stop_gradient=False), )
     return inputs
 
 
 def create_numpy_inputs():
     """
     numpy array
     """
-    inputs = (paddle.to_tensor([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]], dtype='float32', stop_gradient=False), )
+    inputs = (np.array([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]]).astype('float32'), )
     return inputs
 

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_7_class.py

@@ -20,18 +20,25 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor
     """
-    inputs = ()
+    inputs = (paddle.to_tensor([[0.6964692], [0.28613934]], dtype='float32', stop_gradient=False), )
     return inputs
 
 
 def create_numpy_inputs():
     """
     numpy array
     """
-    inputs = (paddle.to_tensor([[0.6964692], [0.28613934]], dtype='float32', stop_gradient=False), )
+    inputs = (np.array([[0.6964692], [0.28613934]]).astype('float32'), )
     return inputs
 

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_8_class.py

@@ -20,18 +20,25 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor
     """
-    inputs = ()
+    inputs = (paddle.to_tensor([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]], dtype='float32', stop_gradient=False), )
     return inputs
 
 
 def create_numpy_inputs():
     """
     numpy array
     """
-    inputs = (paddle.to_tensor([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]], dtype='float32', stop_gradient=False), )
+    inputs = (np.array([[[0.6964692, 0.28613934, 0.22685145]], [[0.5513148, 0.71946895, 0.42310646]]]).astype('float32'), )
     return inputs
 

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_9_class.py

@@ -20,6 +20,13 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm1D_base_class.py

@@ -20,18 +20,25 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor
     """
-    inputs = ()
+    inputs = (paddle.to_tensor([[0.6964692], [0.28613934]], dtype='float32', stop_gradient=False), )
     return inputs
 
 
 def create_numpy_inputs():
     """
     numpy array
     """
-    inputs = (paddle.to_tensor([[0.6964692], [0.28613934]], dtype='float32', stop_gradient=False), )
+    inputs = (np.array([[0.6964692], [0.28613934]]).astype('float32'), )
     return inputs
 

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm2D_1_class.py

@@ -20,6 +20,13 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm2D_2_class.py

@@ -20,6 +20,13 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm2D_3_class.py

@@ -20,6 +20,13 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm2D_4_class.py

@@ -20,6 +20,13 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor

framework/e2e/PaddleLT_new/layerApicase/nn_sublayer/BatchNorm2D_7_class.py

@@ -20,6 +20,13 @@ def forward(self, data, ):
         return out
 
 
+def create_inputspec():
+    inputspec = ( 
+        paddle.static.InputSpec(shape=(-1, -1, -1, -1), dtype=paddle.float32, stop_gradient=False), 
+    )
+    return inputspec
+
+
 def create_tensor_inputs():
     """
     paddle tensor