未验证 提交 4adc8a7a 编写于 作者: Q Qiao Longfei 提交者: GitHub

Change framework to fluid (#5637)

* init commit

* change some dir name
上级 f06d8f0d
......@@ -21,7 +21,7 @@ third_party/
cmake-build-*
# generated while compiling
python/paddle/v2/framework/core.so
python/paddle/v2/fluid/core.so
paddle/pybind/pybind.h
CMakeFiles
cmake_install.cmake
......
......@@ -37,10 +37,10 @@ configure_file(${CMAKE_CURRENT_SOURCE_DIR}/setup.py.in
${CMAKE_CURRENT_BINARY_DIR}/setup.py)
add_custom_command(OUTPUT ${PADDLE_SOURCE_DIR}/python/paddle/v2/framework/core.so
COMMAND cmake -E copy $<TARGET_FILE:paddle_pybind> ${PADDLE_SOURCE_DIR}/python/paddle/v2/framework/core.so
add_custom_command(OUTPUT ${PADDLE_SOURCE_DIR}/python/paddle/v2/fluid/core.so
COMMAND cmake -E copy $<TARGET_FILE:paddle_pybind> ${PADDLE_SOURCE_DIR}/python/paddle/v2/fluid/core.so
DEPENDS paddle_pybind)
add_custom_target(copy_paddle_pybind ALL DEPENDS ${PADDLE_SOURCE_DIR}/python/paddle/v2/framework/core.so)
add_custom_target(copy_paddle_pybind ALL DEPENDS ${PADDLE_SOURCE_DIR}/python/paddle/v2/fluid/core.so)
add_custom_command(OUTPUT ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
......@@ -66,7 +66,7 @@ if (WITH_TESTING)
add_subdirectory(paddle/v2/tests)
add_subdirectory(paddle/v2/reader/tests)
add_subdirectory(paddle/v2/plot/tests)
add_subdirectory(paddle/v2/framework/tests)
add_subdirectory(paddle/v2/fluid/tests)
endif()
endif()
install(DIRECTORY ${PADDLE_PYTHON_PACKAGE_DIR}
......
from paddle.v2.framework import framework as framework
from paddle.v2.fluid import framework as framework
__all__ = ['append_backward_ops']
......
......@@ -13,7 +13,7 @@ A `scoped_function` will take a `function` as input. That function will be
invoked in a new local scope.
"""
import paddle.v2.framework.core
import paddle.v2.fluid.core
import threading
__tl_scope__ = threading.local()
......@@ -27,13 +27,13 @@ __all__ = [
def get_cur_scope():
"""
Get current scope.
:rtype: paddle.v2.framework.core.Scope
:rtype: paddle.v2.fluid.core.Scope
"""
cur_scope_stack = getattr(__tl_scope__, 'cur_scope', None)
if cur_scope_stack is None:
__tl_scope__.cur_scope = list()
if len(__tl_scope__.cur_scope) == 0:
__tl_scope__.cur_scope.append(paddle.v2.framework.core.Scope())
__tl_scope__.cur_scope.append(paddle.v2.fluid.core.Scope())
return __tl_scope__.cur_scope[-1]
......
import paddle.v2.framework.op as op
import paddle.v2.fluid.op as op
import numpy as np
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
def avg_accumulate(accumulated_var, per_eval, num_batches, place):
......@@ -22,7 +22,7 @@ class Evaluator(object):
NOTE: default run on CPUPlace(), running on GPUPlace doesn't improve performance much.
:param scope: the scope instance contains the input.
:type scope: paddle.v2.framework.core.scope
:type scope: paddle.v2.fluid.core.scope
:param operator: operator name for caculating the evaluation for each mini-batch.
:type operator: string
:param input: output variable name of forward network.
......
import paddle.v2.framework.core as core
from paddle.v2.framework.framework import Block, Program, g_main_program
import paddle.v2.fluid.core as core
from paddle.v2.fluid.framework import Block, Program, g_main_program
g_scope = core.Scope()
......
import paddle.v2.framework.core as core
import paddle.v2.framework.proto.framework_pb2 as framework_pb2
import paddle.v2.fluid.core as core
import paddle.v2.fluid.proto.framework_pb2 as framework_pb2
import collections
import numpy as np
import copy
......
import paddle.v2.framework.framework as framework
import paddle.v2.fluid.framework as framework
import numpy as np
__all__ = [
......
import os
import cPickle as pickle
from paddle.v2.framework.framework import Program, Parameter, g_main_program, \
from paddle.v2.fluid.framework import Program, Parameter, g_main_program, \
Variable
__all__ = [
......
import copy
import itertools
from paddle.v2.framework.framework import Variable, g_main_program, \
from paddle.v2.fluid.framework import Variable, g_main_program, \
g_startup_program, unique_name, Program
from paddle.v2.framework.initializer import ConstantInitializer, \
from paddle.v2.fluid.initializer import ConstantInitializer, \
UniformInitializer, XavierInitializer
......
import paddle.v2.framework.core as core
import paddle.v2.framework.proto.framework_pb2 as framework_pb2
from paddle.v2.framework.framework import OpProtoHolder, Variable, Program, \
import paddle.v2.fluid.core as core
import paddle.v2.fluid.proto.framework_pb2 as framework_pb2
from paddle.v2.fluid.framework import OpProtoHolder, Variable, Program, \
Operator
from paddle.v2.framework.initializer import ConstantInitializer, \
from paddle.v2.fluid.initializer import ConstantInitializer, \
NormalInitializer
from paddle.v2.framework.layer_helper import LayerHelper, unique_name
from paddle.v2.fluid.layer_helper import LayerHelper, unique_name
import re
import cStringIO
......
......@@ -3,8 +3,8 @@ import json
import logging
from collections import defaultdict
import paddle.v2.framework.core as core
import paddle.v2.framework.proto.framework_pb2 as framework_pb2
import paddle.v2.fluid.core as core
import paddle.v2.fluid.proto.framework_pb2 as framework_pb2
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
......
import paddle.v2.framework.layers as layers
import paddle.v2.fluid.layers as layers
__all__ = ["simple_img_conv_pool", "sequence_conv_pool"]
......
import paddle.v2.framework.core as core
import paddle.v2.framework.proto.framework_pb2 as framework_pb2
import paddle.v2.fluid.core as core
import paddle.v2.fluid.proto.framework_pb2 as framework_pb2
def get_all_op_protos():
......
from collections import defaultdict
import paddle.v2.framework.framework as framework
from paddle.v2.framework.framework import unique_name, Program
from paddle.v2.framework.backward import append_backward_ops
from paddle.v2.framework.initializer import ConstantInitializer
from paddle.v2.framework.regularizer import append_regularization_ops
from paddle.v2.framework.layer_helper import LayerHelper
import paddle.v2.fluid.framework as framework
from paddle.v2.fluid.framework import unique_name, Program
from paddle.v2.fluid.backward import append_backward_ops
from paddle.v2.fluid.initializer import ConstantInitializer
from paddle.v2.fluid.regularizer import append_regularization_ops
from paddle.v2.fluid.layer_helper import LayerHelper
__all__ = [
'SGDOptimizer', 'MomentumOptimizer', 'AdagradOptimizer', 'AdamOptimizer',
......
import paddle.v2.framework.framework as framework
import paddle.v2.fluid.framework as framework
__all__ = [
'append_regularization_ops', 'L2DecayRegularizer', 'L1DecayRegularizer'
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.framework.framework import Program
from paddle.v2.framework.io import save_persistables, load_persistables
from paddle.v2.framework.executor import Executor
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.io import save_persistables, load_persistables
from paddle.v2.fluid.executor import Executor
import numpy as np
......
import numpy as np
import paddle.v2 as paddle
import paddle.v2.framework.core as core
import paddle.v2.framework.layers as layers
import paddle.v2.framework.nets as nets
import paddle.v2.framework.optimizer as optimizer
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.framework import g_startup_program, g_main_program
from paddle.v2.framework.initializer import XavierInitializer
import paddle.v2.fluid.core as core
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.nets as nets
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.framework import g_startup_program, g_main_program
from paddle.v2.fluid.initializer import XavierInitializer
def resnet_cifar10(input, depth=32, main_program=None, startup_program=None):
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.nets as nets
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.nets as nets
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.framework.framework import Program
from paddle.v2.framework.executor import Executor
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.executor import Executor
import numpy as np
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
from paddle.v2.framework.framework import Program
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.regularizer import L2DecayRegularizer
from paddle.v2.framework.initializer import UniformInitializer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.regularizer import L2DecayRegularizer
from paddle.v2.fluid.initializer import UniformInitializer
import numpy as np
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.nets as nets
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.nets as nets
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.framework.framework import Program
from paddle.v2.framework.executor import Executor
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.executor import Executor
import numpy as np
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.nets as nets
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.nets as nets
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.framework.framework import Program, g_main_program, g_startup_program
from paddle.v2.framework.executor import Executor
from paddle.v2.fluid.framework import Program, g_main_program, g_startup_program
from paddle.v2.fluid.executor import Executor
import numpy as np
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.nets as nets
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.nets as nets
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.framework.framework import Program, g_main_program, g_startup_program
from paddle.v2.framework.executor import Executor
from paddle.v2.fluid.framework import Program, g_main_program, g_startup_program
from paddle.v2.fluid.executor import Executor
import numpy as np
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.framework.framework import g_main_program, g_startup_program
from paddle.v2.framework.executor import Executor
from paddle.v2.fluid.framework import g_main_program, g_startup_program
from paddle.v2.fluid.executor import Executor
import numpy as np
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.framework.framework import Program
from paddle.v2.framework.executor import Executor
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.executor import Executor
import numpy as np
......
......@@ -2,12 +2,12 @@ import unittest
import numpy as np
import random
import itertools
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import collections
from paddle.v2.framework.backward import append_backward_ops
from paddle.v2.framework.op import Operator
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.framework import Program, OpProtoHolder
from paddle.v2.fluid.backward import append_backward_ops
from paddle.v2.fluid.op import Operator
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.framework import Program, OpProtoHolder
def randomize_probability(batch_size, class_num, dtype='float32'):
......
import unittest
import paddle.v2.framework.core as core
import paddle.v2.framework.layers as layers
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.backward import append_backward_ops
from paddle.v2.framework.framework import g_main_program
import paddle.v2.fluid.core as core
import paddle.v2.fluid.layers as layers
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.backward import append_backward_ops
from paddle.v2.fluid.framework import g_main_program
import numpy
......
import unittest
import numpy as np
from op_test import OpTest
import paddle.v2.framework.core as core
from paddle.v2.framework.op import Operator
import paddle.v2.fluid.core as core
from paddle.v2.fluid.op import Operator
def grad_var_name(var_name):
......
import op_test
import unittest
import numpy as np
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
class TestCastOp(op_test.OpTest):
......
import logging
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import unittest
import numpy as np
from paddle.v2.framework.op import Operator, CondOp
from paddle.v2.fluid.op import Operator, CondOp
class PySimpleCond(object):
......
import unittest
import paddle.v2.framework.layers as layers
import paddle.v2.framework.core as core
from paddle.v2.framework.framework import g_startup_program, g_main_program
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.backward import append_backward_ops
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.core as core
from paddle.v2.fluid.framework import g_startup_program, g_main_program
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.backward import append_backward_ops
import numpy
......
import unittest
import paddle.v2.framework.layers as layers
import paddle.v2.fluid.layers as layers
class TestDocString(unittest.TestCase):
......
from paddle.v2.framework.default_scope_funcs import *
from paddle.v2.fluid.default_scope_funcs import *
import unittest
......
import logging
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import unittest
from paddle.v2.framework.op import Operator, DynamicRecurrentOp
from paddle.v2.fluid.op import Operator, DynamicRecurrentOp
import numpy as np
# for siplicity, just one level LoD
......
from paddle.v2.framework.evaluator import Evaluator
from paddle.v2.framework.op import Operator
import paddle.v2.framework.core as core
from paddle.v2.fluid.evaluator import Evaluator
from paddle.v2.fluid.op import Operator
import paddle.v2.fluid.core as core
import unittest
import op_test
import numpy as np
......
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import unittest
......
import unittest
from paddle.v2.framework.layers import mul, data
import paddle.v2.framework.core as core
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.framework import g_main_program
from paddle.v2.fluid.layers import mul, data
import paddle.v2.fluid.core as core
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.framework import g_main_program
import numpy
......
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import unittest
import numpy as np
......
import unittest
from paddle.v2.framework.framework import Program
from paddle.v2.fluid.framework import Program
class TestDebugStringFramework(unittest.TestCase):
......
import unittest
import paddle.v2.framework.core as core
from paddle.v2.framework.op import Operator
import paddle.v2.fluid.core as core
from paddle.v2.fluid.op import Operator
import numpy
......
import unittest
import paddle.v2.framework.layers as layers
import paddle.v2.framework.nets as nets
from paddle.v2.framework.framework import Program
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.nets as nets
from paddle.v2.fluid.framework import Program
def conv_block(input,
......
import unittest
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
class TestInferShape(unittest.TestCase):
......
import paddle.v2 as paddle
import paddle.v2.framework.layers as layers
import paddle.v2.framework.core as core
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.core as core
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.framework.framework import Program
from paddle.v2.framework.io import save_inference_model, load_inference_model
import paddle.v2.framework.executor as executor
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.io import save_inference_model, load_inference_model
import paddle.v2.fluid.executor as executor
import unittest
import numpy as np
......
import numpy as np
import unittest
import paddle.v2.framework.framework as framework
import paddle.v2.framework.initializer as initializer
import paddle.v2.fluid.framework as framework
import paddle.v2.fluid.initializer as initializer
DELTA = 0.00001
......
import paddle.v2.framework.layers as layers
import paddle.v2.framework.nets as nets
from paddle.v2.framework.framework import Program
import paddle.v2.framework.core as core
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.nets as nets
from paddle.v2.fluid.framework import Program
import paddle.v2.fluid.core as core
import unittest
......
import unittest
import paddle.v2.framework.layers as layers
from paddle.v2.framework.executor import Executor
import paddle.v2.framework.core as core
import paddle.v2.fluid.layers as layers
from paddle.v2.fluid.executor import Executor
import paddle.v2.fluid.core as core
import numpy
......
from paddle.v2.framework.layers import lod_rank_table, data
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.framework import g_main_program
import paddle.v2.framework.core as core
from paddle.v2.fluid.layers import lod_rank_table, data
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.framework import g_main_program
import paddle.v2.fluid.core as core
import numpy
import unittest
......
import unittest
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import numpy
......
import unittest
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import numpy
import paddle.v2.framework.layers as layers
from paddle.v2.framework.framework import Program
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.backward import append_backward_ops
import paddle.v2.fluid.layers as layers
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.backward import append_backward_ops
class TestCPULoDTensorArrayOps(unittest.TestCase):
......
import unittest, os
import numpy as np
import paddle.v2 as paddle
from paddle.v2.framework.op import Operator
import paddle.v2.framework.core as core
from paddle.v2.fluid.op import Operator
import paddle.v2.fluid.core as core
from op_test import OpTest, create_op, set_input
if not core.is_compile_gpu():
......
import paddle.v2.framework.core as core
from paddle.v2.framework.op import Operator
import paddle.v2.fluid.core as core
from paddle.v2.fluid.op import Operator
import unittest
......
import unittest
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
class TestOpSupportGPU(unittest.TestCase):
......
import unittest
import paddle.v2.framework.op as op
import paddle.v2.framework.core as core
import paddle.v2.framework.proto.framework_pb2 as framework_pb2
import paddle.v2.fluid.op as op
import paddle.v2.fluid.core as core
import paddle.v2.fluid.proto.framework_pb2 as framework_pb2
class TestGetAllProtos(unittest.TestCase):
......
import unittest
from paddle.v2.framework.framework import Variable, Program, g_main_program
import paddle.v2.framework.core as core
from paddle.v2.fluid.framework import Variable, Program, g_main_program
import paddle.v2.fluid.core as core
class TestOperator(unittest.TestCase):
......
import unittest
import paddle.v2.framework.framework as framework
import paddle.v2.framework.optimizer as optimizer
from paddle.v2.framework.backward import append_backward_ops
import paddle.v2.fluid.framework as framework
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.fluid.backward import append_backward_ops
class TestOptimizer(unittest.TestCase):
......
import unittest
from paddle.v2.framework.framework import g_main_program
import paddle.v2.framework.core as core
from paddle.v2.fluid.framework import g_main_program
import paddle.v2.fluid.core as core
class TestParameter(unittest.TestCase):
......
import unittest
import paddle.v2.framework.core as core
from paddle.v2.framework.framework import Program
from paddle.v2.framework.framework import g_main_program
import paddle.v2.fluid.core as core
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.framework import g_main_program
class TestProgram(unittest.TestCase):
......
import paddle.v2.framework.proto.framework_pb2 as framework_pb2
import paddle.v2.fluid.proto.framework_pb2 as framework_pb2
import unittest
......
import unittest
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
class TestOpDesc(unittest.TestCase):
......
import unittest
import paddle.v2.framework.layers as layers
from paddle.v2.framework.framework import Program
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.backward import append_backward_ops
import paddle.v2.fluid.layers as layers
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.backward import append_backward_ops
import numpy as np
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
class PyRNNBase(object):
......
import unittest
import paddle.v2.framework.framework as framework
import paddle.v2.framework.optimizer as optimizer
import paddle.v2.framework.regularizer as regularizer
from paddle.v2.framework.backward import append_backward_ops
import paddle.v2.fluid.framework as framework
import paddle.v2.fluid.optimizer as optimizer
import paddle.v2.fluid.regularizer as regularizer
from paddle.v2.fluid.backward import append_backward_ops
class TestL2DecayRegularizer(unittest.TestCase):
......
import unittest
from paddle.v2.framework.framework import Program
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.backward import append_backward_ops
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.backward import append_backward_ops
import numpy as np
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
def create_tensor(np_data, place):
......
import paddle.v2.framework.core
import paddle.v2.fluid.core
import unittest
class TestScope(unittest.TestCase):
def test_create_destroy(self):
paddle_c = paddle.v2.framework.core
paddle_c = paddle.v2.fluid.core
scope = paddle_c.Scope()
self.assertIsNotNone(scope)
scope_with_parent = scope.new_scope()
self.assertIsNotNone(scope_with_parent)
def test_none_variable(self):
paddle_c = paddle.v2.framework.core
paddle_c = paddle.v2.fluid.core
scope = paddle_c.Scope()
self.assertIsNone(scope.find_var("test"))
def test_create_var_get_var(self):
paddle_c = paddle.v2.framework.core
paddle_c = paddle.v2.fluid.core
scope = paddle_c.Scope()
var_a = scope.var("var_a")
self.assertIsNotNone(var_a)
......@@ -25,7 +25,7 @@ class TestScope(unittest.TestCase):
self.assertIsNotNone(scope2.find_var('var_a'))
def test_var_get_int(self):
paddle_c = paddle.v2.framework.core
paddle_c = paddle.v2.fluid.core
scope = paddle_c.Scope()
var = scope.var("test_int")
var.set_int(10)
......
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import unittest
import numpy as np
......
import unittest
import numpy as np
import paddle.v2.framework.core as core
from paddle.v2.framework.op import Operator
import paddle.v2.fluid.core as core
from paddle.v2.fluid.op import Operator
from op_test import OpTest
......
import unittest
import paddle.v2.framework.core as core
from paddle.v2.framework.executor import Executor
import paddle.v2.framework.layers as layers
from paddle.v2.framework.backward import append_backward_ops
from paddle.v2.framework.framework import g_main_program
import paddle.v2.fluid.core as core
from paddle.v2.fluid.executor import Executor
import paddle.v2.fluid.layers as layers
from paddle.v2.fluid.backward import append_backward_ops
from paddle.v2.fluid.framework import g_main_program
import numpy
......
import unittest
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import numpy as np
import paddle.v2.framework.layers as layers
from paddle.v2.framework.framework import Program
from paddle.v2.framework.executor import Executor
from paddle.v2.framework.backward import append_backward_ops
import paddle.v2.fluid.layers as layers
from paddle.v2.fluid.framework import Program
from paddle.v2.fluid.executor import Executor
from paddle.v2.fluid.backward import append_backward_ops
class TestCPULoDTensorArrayOps(unittest.TestCase):
......
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import unittest
import numpy
......
import logging
import paddle.v2.framework.core as core
import paddle.v2.fluid.core as core
import unittest
import numpy as np
......
import unittest
from paddle.v2.framework.op import Operator
import paddle.v2.framework.core as core
from paddle.v2.fluid.op import Operator
import paddle.v2.fluid.core as core
import numpy
......
import unittest
from paddle.v2.framework.framework import Variable, g_main_program, Program
import paddle.v2.framework.core as core
from paddle.v2.fluid.framework import Variable, g_main_program, Program
import paddle.v2.fluid.core as core
import numpy as np
......
import unittest
import paddle.v2.framework.layers as layers
from paddle.v2.framework.executor import Executor
import paddle.v2.framework.core as core
import paddle.v2.fluid.layers as layers
from paddle.v2.fluid.executor import Executor
import paddle.v2.fluid.core as core
import numpy
......
......@@ -13,8 +13,8 @@ packages=['paddle',
'paddle.v2.reader',
'paddle.v2.master',
'paddle.v2.plot',
'paddle.v2.framework',
'paddle.v2.framework.proto',
'paddle.v2.fluid',
'paddle.v2.fluid.proto',
'py_paddle']
with open('@PADDLE_SOURCE_DIR@/python/requirements.txt') as f:
......@@ -44,14 +44,14 @@ setup(name='paddlepaddle',
ext_modules=[Extension('_foo', ['stub.cc'])],
package_data={
'paddle.v2.master': ['libpaddle_master.so'],
'paddle.v2.framework': ['core.so'],
'paddle.v2.fluid': ['core.so'],
'py_paddle':['*.py','_swig_paddle.so']
},
package_dir={
'': '${CMAKE_CURRENT_SOURCE_DIR}',
# The paddle.v2.framework.proto will be generated while compiling.
# The paddle.v2.fluid.proto will be generated while compiling.
# So that package points to other directory.
'paddle.v2.framework.proto': '${PADDLE_BINARY_DIR}/paddle/framework',
'paddle.v2.fluid.proto': '${PADDLE_BINARY_DIR}/paddle/framework',
'py_paddle': '${PADDLE_SOURCE_DIR}/paddle/py_paddle'
},
scripts=paddle_bins,
......
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