fix

paddle/fluid/operators/sampling_id_op.cc

@@ -57,11 +57,12 @@ A layer for sampling id from multinomial distribution from the
         .SetDefault(0.0f);
     AddAttr<float>("max", "Maximun value of random. (float, default 1.0).")
         .SetDefault(1.0f);
-    AddAttr<int>("seed",
-                 "Random seed used for the random number engine. "
-                 "0 means use a seed generated by the system."
-                 "Note that if seed is not 0, this operator will always "
-                 "generate the same random numbers every time. [default 0].")
+    AddAttr<int>(
+        "seed",
+        "Random seed used for the random number engine. "
+        "0 means use a seed generated by the system."
+        "Note that if seed is not 0, this operator will always "
+        "generate the same random numbers every time. (int, default 0).")
         .SetDefault(0);
   }
 };

python/paddle/fluid/layers/nn.py

@@ -6263,7 +6263,7 @@ def gaussian_random(shape,
     return out
 
 
-def sampling_id(x, min=0.0, max=1.0, seed=0):
+def sampling_id(x, min=0.0, max=1.0, seed=0, dtype='float32'):
     """
     SamplingId Operator.
 
@@ -6276,6 +6276,7 @@ def sampling_id(x, min=0.0, max=1.0, seed=0):
         max (Float): Maximun value of random.
         seed (Float): random seed used for the random number engine.0 means use a seed generated by the system.
             Note that if seed is not 0, this operator will always generate the same random numbers every time.
+        dtype(np.dtype|core.VarDesc.VarType|str): The type of output data : float32, float_16, int etc
 
     Returns:
         out (Variable): Output of this operator.
@@ -6283,7 +6284,7 @@ def sampling_id(x, min=0.0, max=1.0, seed=0):
     """
 
     helper = LayerHelper('sampling_id', **locals())
-    out = helper.create_tmp_variable(dtype=helper.input_dtype('x'))
+    out = helper.create_tmp_variable(dtype)
     helper.append_op(
         type='sampling_id',
         inputs={'X': x},
@@ -6314,7 +6315,7 @@ def gaussian_random_batch_size_like(input,
         mean (Float): The mean (or center) of the gaussian distribution.
         std (Float): The standard deviation (std, or spread) of the gaussian distribution.
         seed (Int): Random seed of generator.0 means use system wide seed._note that if seed is not 0, this operator will always generate the same random numbers every time.
-        dtype(np.dtype|core.VarDesc.VarType|str): Output data type.
+        dtype(np.dtype|core.VarDesc.VarType|str): The type of output data : float32, float_16, int etc
 
     Returns:
         out (Variable): Output of this operator

python/paddle/fluid/tests/unittests/test_layers.py

@@ -614,7 +614,11 @@ class TestBook(unittest.TestCase):
     def test_sampling_id(self):
         program = Program()
         with program_guard(program):
-            x = layers.data(name="X", shape=[13, 11], dtype='float32')
+            x = layers.data(
+                name="X",
+                shape=[13, 11],
+                dtype='float32',
+                append_batch_size=False)
 
             out = layers.sampling_id(x)
             self.assertIsNotNone(out)