move transpiler files into transpiler folder (#10415)

python/paddle/fluid/__init__.py

@@ -40,16 +40,14 @@ import backward
 import regularizer
 import average
 import metrics
+import transpiler
 from param_attr import ParamAttr, WeightNormParamAttr
 from data_feeder import DataFeeder
 from core import LoDTensor, CPUPlace, CUDAPlace, CUDAPinnedPlace
-from distribute_transpiler import DistributeTranspiler
-from distribute_transpiler_simple import SimpleDistributeTranspiler
+from transpiler import DistributeTranspiler, SimpleDistributeTranspiler, InferenceTranspiler, memory_optimize, release_memory
 from concurrency import (Go, make_channel, channel_send, channel_recv,
                          channel_close, Select)
-from inference_transpiler import InferenceTranspiler
 import clip
-from memory_optimization_transpiler import memory_optimize, release_memory
 import profiler
 import unique_name
 import recordio_writer
@@ -58,7 +56,7 @@ from parallel_executor import ParallelExecutor
 Tensor = LoDTensor
 
 __all__ = framework.__all__ + executor.__all__ + concurrency.__all__ +\
-          trainer.__all__ + inferencer.__all__ + [
+          trainer.__all__ + inferencer.__all__ + transpiler.__all__ + [
     'io',
     'initializer',
     'layers',
@@ -76,11 +74,6 @@ __all__ = framework.__all__ + executor.__all__ + concurrency.__all__ +\
     'WeightNormParamAttr',
     'DataFeeder',
     'clip',
-    'SimpleDistributeTranspiler',
-    'DistributeTranspiler',
-    'InferenceTranspiler',
-    'memory_optimize',
-    'release_memory',
     'profiler',
     'unique_name',
     'recordio_writer',

python/paddle/fluid/transpiler/__init__.py

@@ -0,0 +1,22 @@
+#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from distribute_transpiler import DistributeTranspiler
+from inference_transpiler import InferenceTranspiler
+from memory_optimization_transpiler import memory_optimize, release_memory
+from distribute_transpiler_simple import SimpleDistributeTranspiler
+
+__all__ = [
+    "DistributeTranspiler", "InferenceTranspiler", "SimpleDistributeTranspiler",
+    "memory_optimize", "release_memory"
+]

python/paddle/fluid/transpiler/distribute_transpiler.py

@@ -17,9 +17,8 @@ from __future__ import print_function
 import math
 
 import distributed_splitter as splitter
-import framework
-from framework import Program, default_main_program, Variable, Parameter
-from . import core
+from .. import core
+from ..framework import Program, default_main_program, Variable, Parameter
 
 LOOKUP_TABLE_TYPE = "lookup_table"
 LOOKUP_TABLE_GRAD_TYPE = "lookup_table_grad"
@@ -135,6 +134,16 @@ def split_dense_variable(var_list,
     return blocks
 
 
+def delete_ops(block, ops):
+    try:
+        start = list(block.ops).index(ops[0])
+        end = list(block.ops).index(ops[-1])
+        [block.remove_op(start) for _ in xrange(end - start + 1)]
+    except Exception, e:
+        raise e
+    block.program.sync_with_cpp()
+
+
 class DistributeTranspiler:
     def transpile(self,
                   trainer_id,
@@ -317,7 +326,7 @@ class DistributeTranspiler:
 
     def get_trainer_program(self):
         # remove optimize ops and add a send op to main_program
-        self.delete_ops(self.origin_program.global_block(), self.optimize_ops)
+        delete_ops(self.origin_program.global_block(), self.optimize_ops)
         # FIXME(typhoonzero): serialize once will fix error occurs when clone.
         self.origin_program.__str__()
         return self.origin_program
@@ -601,7 +610,7 @@ class DistributeTranspiler:
                         attrs={"axis": 0})
 
                     # delete lookup_table_op
-                    self.delete_ops(program.global_block(), [op])
+                    delete_ops(program.global_block(), [op])
                     # break for loop
                     break
 
@@ -1164,12 +1173,3 @@ class DistributeTranspiler:
                         in_name.startswith("beta2_pow_acc"):
                     return True
         return False
-
-    def delete_ops(self, block, ops):
-        try:
-            start = list(block.ops).index(ops[0])
-            end = list(block.ops).index(ops[-1])
-            [block.remove_op(start) for _ in xrange(end - start + 1)]
-        except Exception, e:
-            raise e
-        block.program.sync_with_cpp()

python/paddle/fluid/transpiler/distribute_transpiler_simple.py

@@ -12,10 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import framework
-from framework import Program, default_main_program, Parameter, Variable
-import optimizer
-from layer_helper import LayerHelper
+from ..framework import Program, default_main_program, Parameter, Variable
+from ..layer_helper import LayerHelper
 
 
 def hash_name_to_server(params_grads, pserver_endpoints):

python/paddle/fluid/transpiler/inference_transpiler.py

@@ -13,9 +13,9 @@
 # limitations under the License.
 
 import numpy as np
-from framework import Program
-from executor import global_scope
-from . import core
+from .. import core
+from ..framework import Program
+from ..executor import global_scope
 
 
 class InferenceTranspiler:

python/paddle/fluid/transpiler/memory_optimization_transpiler.py

@@ -13,11 +13,9 @@
 # limitations under the License.
 
 from collections import defaultdict
-import framework
-from framework import Program, default_main_program, Parameter, Variable
-import backward
-from backward import _rename_arg_
-from . import core
+from .. import core
+from ..framework import Program, default_main_program, Parameter, Variable
+from ..backward import _rename_arg_
 
 dtype_to_size = {
     core.VarDesc.VarType.FP16: 2,