Fix (#69922)

co63oc · web-flow · commit 855291ae5bd1 · 2024-12-05T14:36:55.000+08:00
diff --git a/python/paddle/incubate/distributed/fleet/fleet_util.py b/python/paddle/incubate/distributed/fleet/fleet_util.py
@@ -1427,7 +1427,7 @@ def get_global_metrics(
 
                 >>> # below is part of example model
                 >>> label = paddle.static.data(name="click", shape=[-1, 1],\
-                ...     dtype="int64", lod_level=0)
+                ...     dtype="int64")
                 >>> emb = my_slot_net(slots, label) # emb can be fc layer of size 1
                 >>> similarity_norm = paddle.nn.functional.sigmoid(paddle.clip(\
                 ...     emb, min=-15.0, max=15.0), name="similarity_norm")\
@@ -1632,7 +1632,7 @@ def print_global_metrics(
 
                 >>> # below is part of model
                 >>> label = paddle.static.data(name="click", shape=[-1, 1],\
-                ...     dtype="int64", lod_level=0)
+                ...     dtype="int64")
                 >>> emb = my_slot_net(slots, label) # emb can be fc layer of size 1
                 >>> similarity_norm = paddle.nn.functional.sigmoid(paddle.clip(\
                 ...     emb, min=-15.0, max=15.0), name="similarity_norm")\
diff --git a/python/paddle/incubate/distributed/fleet/parameter_server/ir/pserver_pass.py b/python/paddle/incubate/distributed/fleet/parameter_server/ir/pserver_pass.py
@@ -787,7 +787,6 @@ def add_large_scale_op(
             persistable=False,
             dtype="int64",
             shape=[1, 1],
-            lod_level=0,
         )
 
         # insert grad split to ids and tensor op
diff --git a/python/paddle/incubate/optimizer/pipeline.py b/python/paddle/incubate/optimizer/pipeline.py
@@ -55,8 +55,8 @@ class PipelineOptimizer:
 
             >>> paddle.enable_static()
             >>> with base.device_guard("gpu:0"):
-            ...     x = paddle.static.data(name='x', shape=[-1, 1], dtype='int64', lod_level=0)
-            ...     y = paddle.static.data(name='y', shape=[-1, 1], dtype='int64', lod_level=0)
+            ...     x = paddle.static.data(name='x', shape=[-1, 1], dtype='int64')
+            ...     y = paddle.static.data(name='y', shape=[-1, 1], dtype='int64')
             ...     data_loader = base.io.DataLoader.from_generator(
             ...         feed_list=[x, y],
             ...         capacity=64,
diff --git a/python/paddle/jit/dy2static/utils.py b/python/paddle/jit/dy2static/utils.py
@@ -71,7 +71,7 @@
 ]
 
 
-def data_layer_not_check(name, shape, dtype='float32', lod_level=0):
+def data_layer_not_check(name, shape, dtype='float32'):
     """
     This function creates a Tensor on the global block. The created Tensor
     doesn't check the dtype and the shape of feed data because dygraph input
@@ -93,8 +93,6 @@ def data_layer_not_check(name, shape, dtype='float32', lod_level=0):
        dtype (np.dtype|VarType|str, optional): The type of the data. Supported
            dtype: bool, float16, float32, float64, int8, int16, int32, int64,
            uint8. Default: float32
-       lod_level (int, optional): The LoD level of the DenseTensor. Usually users
-           don't have to set this value. Default: 0
 
     Returns:
         Tensor: The global Tensor that gives access to the data.
@@ -111,7 +109,6 @@ def data_layer_not_check(name, shape, dtype='float32', lod_level=0):
         dtype=dtype,
         type=core.VarDesc.VarType.DENSE_TENSOR,
         stop_gradient=True,
-        lod_level=lod_level,
         is_data=True,
         need_check_feed=False,
     )
diff --git a/python/paddle/static/nn/metric.py b/python/paddle/static/nn/metric.py
@@ -190,6 +190,7 @@ def auc(
         .. code-block:: python
             :name: example-1
 
+            >>> # doctest: +SKIP("This has diff in xdoctest env")
             >>> import paddle
             >>> import numpy as np
             >>> paddle.enable_static()
@@ -219,14 +220,15 @@ def auc(
 
             # you can learn the usage of ins_tag_weight by the following code.
 
+            >>> # doctest: +SKIP("This has diff in xdoctest env")
             >>> import paddle
             >>> import numpy as np
             >>> paddle.enable_static()
 
             >>> paddle.seed(2023)
             >>> data = paddle.static.data(name="input", shape=[-1, 32,32], dtype="float32")
             >>> label = paddle.static.data(name="label", shape=[-1], dtype="int64")
-            >>> ins_tag_weight = paddle.static.data(name='ins_tag_weight', shape=[-1,16], lod_level=0, dtype='float64')
+            >>> ins_tag_weight = paddle.static.data(name='ins_tag_weight', shape=[-1,16], dtype='float64')
             >>> fc_out = paddle.static.nn.fc(x=data, size=2)
             >>> predict = paddle.nn.functional.softmax(x=fc_out)
             >>> result=paddle.static.auc(input=predict, label=label, ins_tag_weight=ins_tag_weight)
@@ -421,7 +423,7 @@ def ctr_metric_bundle(input, label, ins_tag_weight=None):
             >>> data = paddle.static.data(name="data", shape=[-1, 32], dtype="float32")
             >>> label = paddle.static.data(name="label", shape=[-1, 1], dtype="int32")
             >>> predict = paddle.nn.functional.sigmoid(paddle.static.nn.fc(x=data, size=1))
-            >>> ins_tag_weight = paddle.static.data(name='ins_tag_weight', shape=[-1, 1], lod_level=0, dtype='int64')
+            >>> ins_tag_weight = paddle.static.data(name='ins_tag_weight', shape=[-1, 1], dtype='int64')
             >>> auc_out = paddle.static.ctr_metric_bundle(input=predict, label=label, ins_tag_weight=ins_tag_weight)
     """
     if ins_tag_weight is None:

Original file line number	Diff line number	Diff line change
`@@ -787,7 +787,6 @@ def add_large_scale_op(`
`787`	`787`	`persistable=False,`
`788`	`788`	`dtype="int64",`
`789`	`789`	`shape=[1, 1],`
`790`		`- lod_level=0,`
`791`	`790`	`)`
`792`	`791`
`793`	`792`	`# insert grad split to ids and tensor op`