Rename Decorator "dygraph_to_static_graph" to "dygraph_to_static_func" (#23150)

This PR does exact the thing as the title. The reason is that we plan to develop 4 decorators

"dygraph_to_static_code"
"dygraph_to_static_program"
"dygraph_to_static_func"
"dygraph_to_static_output"

 The 4 decorators will emphasize different part when translating dygraph to static graph. Decorator name "dygraph_to_static_graph" is too big for the function it implements.

python/paddle/fluid/dygraph/dygraph_to_static/ast_transformer.py

@@ -42,7 +42,7 @@ from paddle.fluid.dygraph.dygraph_to_static.utils import dygraph_class_to_static
 
 __all__ = ['DygraphToStaticAst', 'convert_to_static']
 
-DECORATOR_NAMES = ['dygraph_to_static_output', 'dygraph_to_static_graph']
+DECORATOR_NAMES = ['dygraph_to_static_output', 'dygraph_to_static_func']
 
 
 class DygraphToStaticAst(gast.NodeTransformer):

python/paddle/fluid/dygraph/jit.py

@@ -15,7 +15,7 @@
 from __future__ import print_function
 
 __all__ = [
-    'TracedLayer', 'dygraph_to_static_code', 'dygraph_to_static_graph',
+    'TracedLayer', 'dygraph_to_static_code', 'dygraph_to_static_func',
     'dygraph_to_static_output'
 ]
 
@@ -70,11 +70,11 @@ def _dygraph_to_static_code_(dygraph_func):
 dygraph_to_static_code = wrap_decorator(_dygraph_to_static_code_)
 
 
-def _dygraph_to_static_graph_(dygraph_func):
+def _dygraph_to_static_func_(dygraph_func):
     def __impl__(*args, **kwargs):
         if in_dygraph_mode():
             warnings.warn(
-                "The decorator 'dygraph_to_static_graph' doesn't work in dygraph mode."
+                "The decorator 'dygraph_to_static_func' doesn't work in dygraph mode."
                 " Please use it in static mode.")
             return dygraph_func(*args, **kwargs)
         program_translator = ProgramTranslator()
@@ -84,7 +84,7 @@ def _dygraph_to_static_graph_(dygraph_func):
     return __impl__
 
 
-dygraph_to_static_graph = wrap_decorator(_dygraph_to_static_graph_)
+dygraph_to_static_func = wrap_decorator(_dygraph_to_static_func_)
 
 
 def _dygraph_to_static_output_(dygraph_func):

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

@@ -15,7 +15,7 @@
 from __future__ import print_function
 
 import paddle.fluid as fluid
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 
 def add_fn(x):
@@ -141,7 +141,7 @@ class NetWithControlFlowIf(fluid.dygraph.Layer):
         self.alpha = 10.
         self.constant_vars = {}
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, input):
         hidden_dim = input.shape[-1]
         if hidden_dim != self.hidden_dim:

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

@@ -21,8 +21,9 @@ import gast
 
 import paddle.fluid as fluid
 import paddle.fluid.dygraph as dygraph
+
 from paddle.fluid.dygraph import to_variable
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 from paddle.fluid.dygraph.dygraph_to_static.utils import is_dygraph_api
 
 SEED = 2020
@@ -62,7 +63,7 @@ class TestDygraphBasicApi_ToVariable(unittest.TestCase):
         main_program = fluid.Program()
         main_program.random_seed = SEED
         with fluid.program_guard(main_program):
-            static_out = dygraph_to_static_graph(self.dygraph_func)(self.input)
+            static_out = dygraph_to_static_func(self.dygraph_func)(self.input)
 
         exe = fluid.Executor(self.place)
         static_res = exe.run(main_program, fetch_list=static_out)
@@ -205,7 +206,7 @@ class TestDygraphBasicApi(unittest.TestCase):
         main_program.random_seed = SEED
         with fluid.program_guard(main_program, startup_program):
             data = fluid.layers.assign(self.input)
-            static_out = dygraph_to_static_graph(self.dygraph_func)(data)
+            static_out = dygraph_to_static_func(self.dygraph_func)(data)
 
         exe = fluid.Executor(fluid.CPUPlace())
         exe.run(startup_program)
@@ -240,7 +241,7 @@ class TestDygraphBasicApi_BilinearTensorProduct(TestDygraphBasicApi):
         main_program = fluid.Program()
         main_program.random_seed = SEED
         with fluid.program_guard(main_program, startup_program):
-            static_out = dygraph_to_static_graph(self.dygraph_func)(self.input1,
+            static_out = dygraph_to_static_func(self.dygraph_func)(self.input1,
                                                                    self.input2)
 
         exe = fluid.Executor(fluid.CPUPlace())
@@ -367,7 +368,7 @@ class TestDygraphBasicApi_CosineDecay(unittest.TestCase):
         main_program = fluid.Program()
         main_program.random_seed = SEED
         with fluid.program_guard(main_program, startup_program):
-            static_out = dygraph_to_static_graph(self.dygraph_func)()
+            static_out = dygraph_to_static_func(self.dygraph_func)()
 
         exe = fluid.Executor(fluid.CPUPlace())
         exe.run(startup_program)

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

@@ -17,7 +17,7 @@ from __future__ import print_function
 import unittest
 import numpy as np
 import paddle.fluid as fluid
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 SEED = 2020
 np.random.seed(SEED)
@@ -142,7 +142,7 @@ class TestContinueInFor(unittest.TestCase):
     def run_static_mode(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            res = dygraph_to_static_graph(self.dygraph_func)(self.input)
+            res = dygraph_to_static_func(self.dygraph_func)(self.input)
         exe = fluid.Executor(self.place)
         static_res = exe.run(main_program, fetch_list=[res])
 

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

@@ -19,7 +19,7 @@ import numpy as np
 import unittest
 
 import paddle.fluid as fluid
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 PLACE = fluid.CUDAPlace(0) if fluid.is_compiled_with_cuda() else fluid.CPUPlace(
 )
@@ -47,7 +47,7 @@ class SubNetWithDict(fluid.dygraph.Layer):
             bias_attr=False,
             param_attr=init_weight(0.2))
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, input, cache=None):
         input = fluid.dygraph.to_variable(input)
 
@@ -76,7 +76,7 @@ class MainNetWithDict(fluid.dygraph.Layer):
         self.output_size = output_size
         self.sub_net = SubNetWithDict(hidden_size, output_size)
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, input, max_len=4):
         input = fluid.dygraph.to_variable(input)
         cache = {

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

@@ -18,7 +18,7 @@ import numpy as np
 import paddle.fluid as fluid
 import unittest
 
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 from ifelse_simple_func import *
 
@@ -45,7 +45,7 @@ class TestDygraphIfElse(unittest.TestCase):
         with fluid.program_guard(main_program):
             x_v = fluid.layers.assign(self.x)
             # Transform into static graph
-            out = dygraph_to_static_graph(self.dyfunc)(x_v)
+            out = dygraph_to_static_func(self.dyfunc)(x_v)
             exe = fluid.Executor(place)
             ret = exe.run(main_program, fetch_list=out)
             return ret
@@ -166,7 +166,7 @@ class TestAst2FuncWithExternalFunc(TestDygraphIfElse):
 
 
 class NetWithExternalFunc(fluid.dygraph.Layer):
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, x, label=None):
         if fluid.layers.mean(x).numpy()[0] > 5:
             x_v = x - 1

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

@@ -17,7 +17,7 @@ from __future__ import print_function
 import unittest
 import numpy as np
 import paddle.fluid as fluid
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 SEED = 2020
 np.random.seed(SEED)
@@ -110,7 +110,7 @@ class TestListWithoutControlFlow(unittest.TestCase):
     def run_static_mode(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            tensor_list = dygraph_to_static_graph(self.dygraph_func)(self.input)
+            tensor_list = dygraph_to_static_func(self.dygraph_func)(self.input)
         exe = fluid.Executor(self.place)
         static_res = exe.run(main_program, fetch_list=tensor_list[0])
 
@@ -132,8 +132,7 @@ class TestListInIf(TestListWithoutControlFlow):
     def run_static_mode(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            tensor_array = dygraph_to_static_graph(self.dygraph_func)(
-                self.input)
+            tensor_array = dygraph_to_static_func(self.dygraph_func)(self.input)
             static_out = fluid.layers.array_read(
                 tensor_array,
                 i=fluid.layers.fill_constant(
@@ -163,7 +162,7 @@ class TestListInWhileLoop(TestListWithoutControlFlow):
     def run_static_mode(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            tensor_array = dygraph_to_static_graph(self.dygraph_func)(
+            tensor_array = dygraph_to_static_func(self.dygraph_func)(
                 self.input, self.iter_num)
             static_outs = []
             for i in range(self.iter_num):
@@ -191,7 +190,7 @@ class TestListInWhileLoopWithStack(TestListInWhileLoop):
     def run_static_mode(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            out_var = dygraph_to_static_graph(self.dygraph_func)(self.input,
+            out_var = dygraph_to_static_func(self.dygraph_func)(self.input,
                                                                 self.iter_num)
         exe = fluid.Executor(self.place)
         numpy_res = exe.run(main_program, fetch_list=out_var)

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

@@ -20,7 +20,7 @@ import numpy as np
 import paddle.fluid as fluid
 import unittest
 
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 from paddle.fluid.dygraph.dygraph_to_static.loop_transformer import NameVisitor
 
 SEED = 2020
@@ -90,7 +90,7 @@ class TestTransformWhileLoop(unittest.TestCase):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
             x_var = fluid.layers.assign(self.x)
-            static_func = dygraph_to_static_graph(self.dyfunc)
+            static_func = dygraph_to_static_func(self.dyfunc)
 
             out = static_func(x_var)
             exe = fluid.Executor(self.place)
@@ -133,7 +133,7 @@ class TestTransformForLoop(unittest.TestCase):
     def _run_static(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            static_func = dygraph_to_static_graph(self.dyfunc)
+            static_func = dygraph_to_static_func(self.dyfunc)
             out = static_func(self.len)
             exe = fluid.Executor(self.place)
             ret = exe.run(main_program, fetch_list=out)

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

@@ -20,7 +20,7 @@ import paddle.fluid as fluid
 from paddle.fluid.optimizer import AdamOptimizer
 from paddle.fluid.dygraph.nn import Conv2D, Pool2D, Linear
 
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 import unittest
 
@@ -66,7 +66,7 @@ class SimpleImgConvPool(fluid.dygraph.Layer):
             global_pooling=global_pooling,
             use_cudnn=use_cudnn)
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, inputs):
         x = self._conv2d(inputs)
         x = self._pool2d(x)
@@ -94,7 +94,7 @@ class MNIST(fluid.dygraph.Layer):
                     loc=0.0, scale=scale)),
             act="softmax")
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, inputs, label=None):
         x = self.inference(inputs)
         if label is not None:
@@ -105,7 +105,7 @@ class MNIST(fluid.dygraph.Layer):
         else:
             return x
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def inference(self, inputs):
         x = self._simple_img_conv_pool_1(inputs)
         x = self._simple_img_conv_pool_2(x)
@@ -128,7 +128,7 @@ class TestMNIST(unittest.TestCase):
 
 class TestMNISTWithStaticMode(TestMNIST):
     """
-    Tests model when using `dygraph_to_static_graph` to convert dygraph into static
+    Tests model when using `dygraph_to_static_func` to convert dygraph into static
     model. It allows user to add customized code to train static model, such as `with`
     and `Executor` statement.
     """

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

@@ -30,7 +30,7 @@ from __future__ import print_function
 import paddle
 import paddle.fluid as fluid
 from paddle.fluid.dygraph.nn import Conv2D, Pool2D, BatchNorm, Linear
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 import unittest
 import time
@@ -93,7 +93,7 @@ class ConvBNLayer(fluid.dygraph.Layer):
 
         self._batch_norm = BatchNorm(num_filters, act=act)
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, inputs):
         y = self._conv(inputs)
         y = self._batch_norm(y)
@@ -133,7 +133,7 @@ class BottleneckBlock(fluid.dygraph.Layer):
 
         self._num_channels_out = num_filters * 4
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, inputs):
         y = self.conv0(inputs)
         conv1 = self.conv1(y)
@@ -203,7 +203,7 @@ class ResNet(fluid.dygraph.Layer):
             param_attr=fluid.param_attr.ParamAttr(
                 initializer=fluid.initializer.Uniform(-stdv, stdv)))
 
-    @dygraph_to_static_graph
+    @dygraph_to_static_func
     def forward(self, inputs, label):
         y = self.conv(inputs)
         y = self.pool2d_max(y)

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

@@ -17,7 +17,7 @@ from __future__ import print_function
 import unittest
 import numpy as np
 import paddle.fluid as fluid
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 SEED = 2020
 np.random.seed(SEED)
@@ -97,7 +97,7 @@ class TestSliceWithoutControlFlow(unittest.TestCase):
     def run_static_mode(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            tensor_list = dygraph_to_static_graph(self.dygraph_func)(self.input)
+            tensor_list = dygraph_to_static_func(self.dygraph_func)(self.input)
         exe = fluid.Executor(self.place)
         static_res = exe.run(main_program, fetch_list=tensor_list[0])
 
@@ -119,8 +119,7 @@ class TestSliceInIf(TestSliceWithoutControlFlow):
     def run_static_mode(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            tensor_array = dygraph_to_static_graph(self.dygraph_func)(
-                self.input)
+            tensor_array = dygraph_to_static_func(self.dygraph_func)(self.input)
             static_out = fluid.layers.array_read(
                 tensor_array,
                 i=fluid.layers.fill_constant(
@@ -150,7 +149,7 @@ class TestSliceInWhileLoop(TestSliceWithoutControlFlow):
     def run_static_mode(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            tensor_array = dygraph_to_static_graph(self.dygraph_func)(
+            tensor_array = dygraph_to_static_func(self.dygraph_func)(
                 self.input, self.iter_num)
             static_outs = []
             for i in range(self.iter_num):

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

@@ -18,7 +18,7 @@ import numpy
 
 import unittest
 import paddle.fluid as fluid
-from paddle.fluid.dygraph.jit import dygraph_to_static_graph
+from paddle.fluid.dygraph.jit import dygraph_to_static_func
 
 
 def dyfunc_tensor_shape_1(x):
@@ -179,7 +179,7 @@ class TestTensorShapeBasic(unittest.TestCase):
     def get_static_output(self):
         main_program = fluid.Program()
         with fluid.program_guard(main_program):
-            static_out = dygraph_to_static_graph(self.dygraph_func)(self.input)
+            static_out = dygraph_to_static_func(self.dygraph_func)(self.input)
 
         exe = fluid.Executor(self.place)
         static_res = exe.run(main_program, fetch_list=static_out)