replace cross_entropy in test*.py except python/paddle/fluid/tests/un…

…ittests/*.py (PaddlePaddle#48978)

python/paddle/fluid/contrib/slim/tests/test_user_defined_quantization.py

@@ -28,6 +28,7 @@
 from paddle.fluid.contrib.slim.quantization import AddQuantDequantPass
 from paddle.fluid import core
 from paddle.fluid.layer_helper import LayerHelper
+import paddle.nn.functional as F
 
 paddle.enable_static()
 
@@ -75,8 +76,8 @@ def pact(x, name=None):
         learning_rate=1,
     )
     u_param = helper.create_parameter(attr=u_param_attr, shape=[1], dtype=dtype)
-    x = paddle.subtract(x, fluid.layers.relu(paddle.subtract(x, u_param)))
-    x = paddle.add(x, fluid.layers.relu(paddle.subtract(-u_param, x)))
+    x = paddle.subtract(x, F.relu(paddle.subtract(x, u_param)))
+    x = paddle.add(x, F.relu(paddle.subtract(-u_param, x)))
 
     return x
 

python/paddle/fluid/tests/unittests/dygraph_to_static/test_ast_util.py

@@ -25,6 +25,7 @@
 
 import paddle
 import paddle.fluid as fluid
+import paddle.nn.functional as F
 from paddle.jit.dy2static.utils import ast_to_func
 from paddle.utils import gast
 
@@ -60,7 +61,7 @@ def test_ast2func_dygraph(self):
 
     def test_ast2func_static(self):
         def func(x):
-            y = fluid.layers.relu(x)
+            y = F.relu(x)
             loss = paddle.mean(y)
             return loss
 

python/paddle/fluid/tests/unittests/dygraph_to_static/test_ifelse.py

@@ -43,6 +43,7 @@
 
 import paddle
 import paddle.fluid.core as core
+import paddle.nn.functional as F
 from paddle.jit.api import declarative
 from paddle.jit.dy2static.program_translator import ProgramTranslator
 from paddle.jit.dy2static.utils import Dygraph2StaticException
@@ -269,7 +270,7 @@ def test_ast_to_func(self):
 
 # Test to call function ahead caller.
 def relu(x):
-    return fluid.layers.relu(x)
+    return F.relu(x)
 
 
 def call_external_func(x, label=None):

python/paddle/fluid/tests/unittests/dygraph_to_static/test_lambda.py

@@ -18,6 +18,7 @@
 
 import paddle
 import paddle.fluid as fluid
+import paddle.nn.functional as F
 from paddle.jit.api import declarative
 
 
@@ -48,7 +49,7 @@ def call_lambda_in_func(x):
 
     add_func = lambda x: x + 1
 
-    y = paddle.mean((lambda x: fluid.layers.relu(x))(x))
+    y = paddle.mean((lambda x: F.relu(x))(x))
     out = add_func(y) if y > 1 and y < 2 else (lambda x: x**2)(y)
 
     return out

python/paddle/fluid/tests/unittests/dygraph_to_static/test_loop.py

@@ -19,6 +19,7 @@
 
 import paddle
 import paddle.fluid as fluid
+import paddle.nn.functional as F
 from paddle.jit.api import declarative
 from paddle.jit.dy2static.loop_transformer import NameVisitor
 from paddle.utils import gast
@@ -51,7 +52,7 @@ def while_loop_dyfun_with_conflict_var(x):
 
     def relu(y):
         # 'y' is not visible outside the scope.
-        return fluid.layers.relu(y)
+        return F.relu(y)
 
     while x < 10:
         # If a tmp variable is created which has same name

python/paddle/fluid/tests/unittests/dygraph_to_static/test_reinforcement_learning.py

@@ -21,6 +21,7 @@
 
 import paddle
 import paddle.fluid as fluid
+import paddle.nn.functional as F
 from paddle.fluid.dygraph import Layer, to_variable
 from paddle.jit import ProgramTranslator
 from paddle.jit.api import declarative
@@ -45,7 +46,7 @@ def forward(self, x):
         x = paddle.reshape(x, shape=[1, 4])
         x = self.affine1(x)
         x = fluid.layers.dropout(x, self.dropout_ratio)
-        x = fluid.layers.relu(x)
+        x = F.relu(x)
         action_scores = self.affine2(x)
 
         log_prob = paddle.nn.functional.softmax(action_scores, axis=1)

python/paddle/fluid/tests/unittests/ipu/test_fp16_support_ipu.py

@@ -17,6 +17,7 @@
 import numpy as np
 
 import paddle
+import paddle.nn.functional as F
 import paddle.static
 from paddle.fluid.tests.unittests.ipu.op_test_ipu import IPUOpTest
 
@@ -63,7 +64,7 @@ def build_model(self):
         conv3 = paddle.static.nn.conv2d(
             add1, num_filters=8, filter_size=8, bias_attr=False
         )
-        out = paddle.fluid.layers.relu(conv3, **self.attrs)
+        out = F.relu(conv3, **self.attrs)
         self.fetch_list = [out.name]
 
     def run_model(self, exec_mode):

python/paddle/fluid/tests/unittests/ipu/test_unary_ops_ipu.py

@@ -17,6 +17,7 @@
 import numpy as np
 
 import paddle
+import paddle.nn.functional as F
 import paddle.static
 from paddle.fluid.tests.unittests.ipu.op_test_ipu import IPUOpTest
 
@@ -147,7 +148,7 @@ def set_test_op(self):
 
 class TestRelu(TestBase):
     def set_test_op(self):
-        self.op = paddle.fluid.layers.relu
+        self.op = F.relu
         self.op_attrs = {}
 
 

python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_elt_act_fuse_pass.py

@@ -19,6 +19,7 @@
 
 import paddle
 import paddle.fluid as fluid
+import paddle.nn.functional as F
 from paddle.fluid.core import PassVersionChecker
 
 
@@ -69,7 +70,7 @@ class ElementwiseActivationMkldnnFusePassTest_Add_Relu(
 ):
     def set_params(self):
         self.operand = paddle.add
-        self.act = fluid.layers.relu
+        self.act = F.relu
 
 
 class ElementwiseActivationMkldnnFusePassTest_Add_Tanh(
@@ -169,7 +170,7 @@ class ElementwiseActivationMkldnnFusePassTest_Sub_Relu(
 ):
     def set_params(self):
         self.operand = paddle.subtract
-        self.act = fluid.layers.relu
+        self.act = F.relu
 
 
 class ElementwiseActivationMkldnnFusePassTest_Sub_Tanh(
@@ -261,7 +262,7 @@ class ElementwiseActivationMkldnnFusePassTest_Mul_Relu(
 ):
     def set_params(self):
         self.operand = paddle.multiply
-        self.act = fluid.layers.relu
+        self.act = F.relu
 
 
 class ElementwiseActivationMkldnnFusePassTest_Mul_Tanh(

python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_inplace_fuse_pass.py

@@ -19,6 +19,7 @@
 
 import paddle
 import paddle.fluid as fluid
+import paddle.nn.functional as F
 from paddle.fluid.core import PassVersionChecker
 
 
@@ -33,7 +34,7 @@ def setUp(self):
                 data, num_filters=3, filter_size=3, bias_attr=False
             )
             softmax_out = paddle.nn.functional.softmax(conv_out_1)
-            relu_out = fluid.layers.relu(conv_out_1)
+            relu_out = F.relu(conv_out_1)
             eltwise_out = paddle.add(softmax_out, relu_out)
 
         self.pass_name = 'mkldnn_inplace_pass'

python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_matmul_op_output_fuse_pass.py

@@ -19,6 +19,7 @@
 
 import paddle
 import paddle.fluid as fluid
+import paddle.nn.functional as F
 
 
 class TestMKLDNNMatmulFuseOp(InferencePassTest):
@@ -41,7 +42,7 @@ def make_network(self):
             out = paddle.transpose(out, perm=[0, 2, 1, 3])
             out = paddle.reshape(out, [0, 0, self.shape_y[0] * self.shape_y[2]])
 
-            out = fluid.layers.relu(out)
+            out = F.relu(out)
         return out
 
     def setUp(self):
@@ -107,7 +108,7 @@ def make_network(self):
             out = paddle.transpose(out, perm=[0, 1, 2, 3])  # breaks pattern
             out = paddle.reshape(out, [0, 0, self.shape_y[0] * self.shape_y[2]])
 
-            out = fluid.layers.relu(out)
+            out = F.relu(out)
         return out
 
 

python/paddle/fluid/tests/unittests/ir/inference/test_trt_activation_pass.py

@@ -22,6 +22,7 @@
 import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
+import paddle.nn.functional as F
 import paddle.static.nn as nn
 from paddle.fluid.core import AnalysisConfig, PassVersionChecker
 
@@ -47,7 +48,7 @@ def setUp(self):
         self.fetch_list = [out]
 
     def append_act(self, x):
-        return fluid.layers.relu(x)
+        return F.relu(x)
 
     def test_check_output(self):
         if core.is_compiled_with_cuda():

python/paddle/fluid/tests/unittests/ir/inference/test_trt_conv_quant_dequant_pass.py

@@ -20,6 +20,7 @@
 import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
+import paddle.nn.functional as F
 from paddle.fluid.core import AnalysisConfig, PassVersionChecker
 
 
@@ -52,7 +53,7 @@ def network():
                 cout = paddle.reshape(conv_out, shape=[1, 1, 12544])
             elif self.conv_groups == 4:
                 cout = paddle.reshape(conv_out, shape=[1, 1, 10816])
-            result = fluid.layers.relu(cout)
+            result = F.relu(cout)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=label_shape,
@@ -160,7 +161,7 @@ def network():
                 act=None,
             )
             cout = paddle.reshape(conv_out, shape=[1, 1, 10816])
-            result = fluid.layers.relu(cout)
+            result = F.relu(cout)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=label_shape,
@@ -266,7 +267,7 @@ def network():
                 cout = paddle.reshape(conv_out, shape=[1, 1, 12544])
             elif self.conv_groups == 4:
                 cout = paddle.reshape(conv_out, shape=[1, 1, 10816])
-            result = fluid.layers.relu(cout)
+            result = F.relu(cout)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=label_shape,

python/paddle/fluid/tests/unittests/ir/inference/test_trt_fc_fuse_quant_dequant_pass.py

@@ -20,6 +20,7 @@
 import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
+import paddle.nn.functional as F
 from paddle.fluid.core import AnalysisConfig, PassVersionChecker
 
 
@@ -37,7 +38,7 @@ def network():
                 bias_attr=False,
                 act="relu",
             )
-            result = fluid.layers.relu(fc_out)
+            result = F.relu(fc_out)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=self.label,
@@ -109,7 +110,7 @@ def network():
                 act=None,
             )
             c_out = paddle.reshape(fc_out, shape=[0, 784])
-            result = fluid.layers.relu(c_out)
+            result = F.relu(c_out)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=self.label,
@@ -183,7 +184,7 @@ def network():
                 act=None,
             )
             c_out = paddle.reshape(fc_out, shape=[1, 1, 2744])
-            result = fluid.layers.relu(c_out)
+            result = F.relu(c_out)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=label_shape,

python/paddle/fluid/tests/unittests/ir/inference/test_trt_matmul_quant_dequant.py

@@ -20,6 +20,7 @@
 import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
+import paddle.nn.functional as F
 from paddle.fluid.core import AnalysisConfig, PassVersionChecker
 
 
@@ -46,7 +47,7 @@ def network():
                 bias_attr=False,
                 act=None,
             )
-            result = fluid.layers.relu(fc_out)
+            result = F.relu(fc_out)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=self.label,
@@ -148,7 +149,7 @@ def network():
                 bias_attr=False,
                 act=None,
             )
-            result = fluid.layers.relu(fc_out)
+            result = F.relu(fc_out)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=self.label,
@@ -249,7 +250,7 @@ def network():
                 bias_attr=False,
                 act=None,
             )
-            result = fluid.layers.relu(fc_out)
+            result = F.relu(fc_out)
             loss = paddle.nn.functional.cross_entropy(
                 input=result,
                 label=self.label,