Use dygraph mode by default (#27443)

* default open dygraph mode

* fix CI-Mac

* fix Mac-CI other unittest file

* fix CI-Py3

* fix test_communicator_geo and test_buffer_shared_memory_reuse_pass

* add enable_static to fix CI-Py3

* add enable_static to fix CI-coverage

* delete try except

python/paddle/__init__.py

@@ -276,3 +276,5 @@ from .hapi import callbacks
 from .hapi import summary
 import paddle.text
 import paddle.vision
+
+disable_static()

python/paddle/fluid/contrib/slim/tests/convert_model2dot.py

@@ -19,6 +19,9 @@ import argparse
 import paddle.fluid as fluid
 from paddle.fluid.framework import IrGraph
 from paddle.fluid import core
+import paddle
+
+paddle.enable_static()
 
 
 def parse_args():

python/paddle/fluid/contrib/slim/tests/quant2_int8_image_classification_comparison.py

@@ -27,6 +27,8 @@ from paddle.fluid.framework import IrGraph
 from paddle.fluid.contrib.slim.quantization import Quant2Int8MkldnnPass
 from paddle.fluid import core
 
+paddle.enable_static()
+
 logging.basicConfig(format='%(asctime)s-%(levelname)s: %(message)s')
 _logger = logging.getLogger(__name__)
 _logger.setLevel(logging.INFO)

python/paddle/fluid/contrib/slim/tests/quant2_int8_nlp_comparison.py

@@ -25,6 +25,8 @@ from paddle.fluid.framework import IrGraph
 from paddle.fluid.contrib.slim.quantization import Quant2Int8MkldnnPass
 from paddle.fluid import core
 
+paddle.enable_static()
+
 logging.basicConfig(format='%(asctime)s-%(levelname)s: %(message)s')
 _logger = logging.getLogger(__name__)
 _logger.setLevel(logging.INFO)

python/paddle/fluid/contrib/slim/tests/quant_int8_image_classification_comparison.py

@@ -27,6 +27,8 @@ from paddle.fluid.framework import IrGraph
 from paddle.fluid.contrib.slim.quantization import QuantInt8MkldnnPass
 from paddle.fluid import core
 
+paddle.enable_static()
+
 logging.basicConfig(format='%(asctime)s-%(levelname)s: %(message)s')
 _logger = logging.getLogger(__name__)
 _logger.setLevel(logging.INFO)

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

@@ -27,6 +27,8 @@ from paddle.fluid.framework import IrGraph
 from paddle.fluid.contrib.slim.quantization import Quant2Int8MkldnnPass
 from paddle.fluid import core
 
+paddle.enable_static()
+
 
 def parse_args():
     parser = argparse.ArgumentParser()

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

@@ -22,6 +22,8 @@ import paddle.fluid as fluid
 from paddle.fluid.framework import IrGraph
 from paddle.fluid import core
 
+paddle.enable_static()
+
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 os.environ["CPU_NUM"] = "1"
 

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

@@ -32,6 +32,8 @@ from paddle.fluid.dygraph.nn import Pool2D
 from paddle.fluid.dygraph.nn import Linear
 from paddle.fluid.log_helper import get_logger
 
+paddle.enable_static()
+
 os.environ["CPU_NUM"] = "1"
 if core.is_compiled_with_cuda():
     fluid.set_flags({"FLAGS_cudnn_deterministic": True})

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

@@ -32,6 +32,8 @@ from paddle.fluid.dygraph.nn import Pool2D
 from paddle.fluid.dygraph.nn import Linear
 from paddle.fluid.log_helper import get_logger
 
+paddle.enable_static()
+
 os.environ["CPU_NUM"] = "1"
 if core.is_compiled_with_cuda():
     fluid.set_flags({"FLAGS_cudnn_deterministic": True})

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

@@ -25,6 +25,8 @@ import paddle.fluid as fluid
 from paddle.dataset.common import download
 from paddle.fluid.contrib.slim.quantization import PostTrainingQuantization
 
+paddle.enable_static()
+
 random.seed(0)
 np.random.seed(0)
 

python/paddle/fluid/contrib/slim/tests/test_post_training_quantization_mobilenetv1.py

@@ -26,6 +26,8 @@ import paddle.fluid as fluid
 from paddle.dataset.common import download
 from paddle.fluid.contrib.slim.quantization import PostTrainingQuantization
 
+paddle.enable_static()
+
 random.seed(0)
 np.random.seed(0)
 

python/paddle/fluid/contrib/slim/tests/test_post_training_quantization_resnet50.py

@@ -15,6 +15,9 @@
 import sys
 import unittest
 from test_post_training_quantization_mobilenetv1 import TestPostTrainingQuantization
+import paddle
+
+paddle.enable_static()
 
 
 class TestPostTrainingForResnet50(TestPostTrainingQuantization):

python/paddle/fluid/contrib/slim/tests/test_quant2_int8_mkldnn_pass.py

@@ -18,6 +18,9 @@ import paddle.fluid as fluid
 import paddle.fluid.core as core
 from paddle.fluid.framework import IrGraph
 from paddle.fluid.contrib.slim.quantization import Quant2Int8MkldnnPass
+import paddle
+
+paddle.enable_static()
 
 
 class TestQuant2Int8MkldnnPass(unittest.TestCase):

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

@@ -25,6 +25,7 @@ from paddle.fluid.contrib.slim.quantization import QuantizationTransformPass
 from paddle.fluid.contrib.slim.quantization import QuantInt8MkldnnPass
 from paddle.fluid import core
 
+paddle.enable_static()
 os.environ["CPU_NUM"] = "1"
 
 

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

@@ -27,6 +27,8 @@ from paddle.fluid.contrib.slim.quantization import TransformForMobilePass
 from paddle.fluid.contrib.slim.quantization import AddQuantDequantPass
 from paddle.fluid import core
 
+paddle.enable_static()
+
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 os.environ["CPU_NUM"] = "1"
 

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

@@ -27,6 +27,8 @@ from paddle.fluid.contrib.slim.quantization import OutScaleForInferencePass
 from paddle.fluid.contrib.slim.quantization import AddQuantDequantPass
 from paddle.fluid import core
 
+paddle.enable_static()
+
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 os.environ["CPU_NUM"] = "1"
 

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

@@ -29,6 +29,8 @@ from paddle.fluid.contrib.slim.quantization import AddQuantDequantPass
 from paddle.fluid import core
 from paddle.fluid.layer_helper import LayerHelper
 
+paddle.enable_static()
+
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 os.environ["CPU_NUM"] = "1"
 

python/paddle/fluid/contrib/slim/tests/test_weight_quantization_mobilenetv1.py

@@ -17,6 +17,9 @@ import os
 import time
 from paddle.dataset.common import download, DATA_HOME
 from paddle.fluid.contrib.slim.quantization import WeightQuantization
+import paddle
+
+paddle.enable_static()
 
 
 class TestWeightQuantization(unittest.TestCase):

python/paddle/fluid/contrib/tests/test_correlation.py

@@ -16,6 +16,9 @@ import unittest
 import numpy as np
 import paddle.fluid as fluid
 from paddle.fluid.dygraph.base import to_variable
+import paddle
+
+paddle.enable_static()
 
 
 def corr(x_1,

python/paddle/fluid/contrib/tests/test_fp16_utils.py

@@ -16,6 +16,9 @@ import unittest
 import paddle.fluid as fluid
 from paddle.fluid import core
 from paddle.fluid.contrib.mixed_precision import fp16_utils
+import paddle
+
+paddle.enable_static()
 
 
 class AMPTest(unittest.TestCase):

python/paddle/fluid/contrib/tests/test_image_classification_fp16.py

@@ -25,6 +25,8 @@ import os
 import copy
 import numpy as np
 
+paddle.enable_static()
+
 
 def resnet_cifar10(input, depth=32):
     def conv_bn_layer(input,

python/paddle/fluid/contrib/tests/test_quantize_transpiler.py

@@ -20,6 +20,9 @@ import paddle
 import paddle.fluid as fluid
 from paddle.fluid.contrib.quantize.quantize_transpiler import _original_var_name
 from paddle.fluid.contrib.quantize.quantize_transpiler import QuantizeTranspiler
+import paddle
+
+paddle.enable_static()
 
 
 def linear_fc(num):

python/paddle/fluid/contrib/tests/test_weight_decay_extend.py

@@ -21,6 +21,8 @@ import paddle
 import paddle.fluid as fluid
 import contextlib
 
+paddle.enable_static()
+
 
 def get_places():
     places = [fluid.CPUPlace()]

python/paddle/fluid/install_check.py

@@ -62,6 +62,8 @@ def run_check():
             # Your Paddle Fluid works well on MUTIPLE GPU or CPU.
             # Your Paddle Fluid is installed successfully! Let's start deep Learning with Paddle Fluid now
     """
+    paddle.enable_static()
+
     print("Running Verify Fluid Program ... ")
 
     device_list = []
@@ -157,3 +159,5 @@ def run_check():
         print(
             "Your Paddle Fluid is installed successfully ONLY for SINGLE GPU or CPU! "
             "\n Let's start deep Learning with Paddle Fluid now")
+
+    paddle.disable_static()

python/paddle/fluid/tests/book/test_fit_a_line.py

@@ -23,6 +23,8 @@ import math
 import sys
 import os
 
+paddle.enable_static()
+
 
 def train(use_cuda, save_dirname, is_local):
     x = fluid.layers.data(name='x', shape=[13], dtype='float32')