import?tensorflow?as?tf
import?numpy
import?tensorflow.contrib.slim?as?slim


def?_variable（name?shape）:
??“““Helper?to?create?a?Variable?stored?on?CPU?memory.

??Args:
????name:?name?of?the?variable
????shape:?list?of?ints
????initializer:?initializer?for?Variable

??Returns:
????Variable?Tensor
??“““
??with?tf.device（‘/gpu:0‘）:
????var?=?tf.get_variable（name?shape）
??return?var

def?conv_layer（inputshapestrideactivation=Truepadding=‘VALID‘name=None）:
????in_channel=shape[2]
????out_channel=shape[3]
????k_size=shape[0]
????with?tf.variable_scope（name）?as?scope:
????????kernel=_variable（‘conv_weights‘shape?=?shape）
????????conv=tf.nn.conv2d（input?=?inputfilter?=?kernelstrides?=?stridepadding?=padding）
????????biases=_variable（‘biases‘[out_channel]）
????????bias=tf.nn.bias_add（convbiases）
????????if?activation?is?True:
????????????conv_out=tf.nn.relu（biasname?=?‘relu‘）
????????else:
????????????conv_out=bias
????????return?conv_out

def?conv_inception（input?shape?stride=?[1111]?activation?=?True?padding?=?‘SAME‘?name?=?None）:
????in_channel?=?shape[2]
????out_channel?=?shape[3]
????k_size?=?shape[0]
????with?tf.variable_scope（name）?as?scope:
????????kernel?=?_variable（‘conv_weights‘?shape?=?shape）
????????conv?=?tf.nn.conv2d（input?=?input?filter?=?kernel?strides?=?stride?padding?=?padding）
????????biases?=?_variable（‘biases‘?[out_channel]）
????????bias?=?tf.nn.bias_add（conv?biases）
????????if?activation?is?True:
????????????conv_out?=?tf.nn.relu（bias?name?=?‘relu‘）
????????else:
????????????conv_out?=?bias
????????return?conv_out

def?inception_block_tradition（input?name=None）:

????with?tf.variable_scope（name）?as?scope:
????????with?tf.variable_scope（“Branch_0“）:
????????????branch_0=conv_inception（inputshape?=?[1128864]name?=?‘0a_1x1‘）
????????with?tf.variable_scope（‘Branch_1‘）:
????????????branch_1=conv_inception（inputshape?=?[1128848]name?=?‘0a_1x1‘）
????????????branch_1=conv_inception（branch_1shape?=?[554864]name?=?‘0b_5x5‘）
????????with?tf.variable_scope（“Branch_2“）:
????????????branch_2=conv_inception（inputshape?=?[1128864]name?=?‘0a_1x1‘）
????????????branch_2=conv_inception（branch_2shape?=?[336496]name?=?‘0b_3x3‘）
????????with?tf.variable_scope（‘Branch_3‘）:
????????????branch_3=tf.nn.avg_pool（inputksize?=?（1331）strides?=?[1111]padding?=?‘SAME‘name?=?‘Avgpool_0a_3x3‘）
????????????branch_3=conv_inception（branch_3shape?=?[1128864]name?=?‘0b_1x1‘）
????????inception_out=tf.concat（[branch_0branch_1branch_2branch_3]3）
????????b=1?#?for?debug
????????return?inception_out

def?inception_grid_reduction_1（inputname=None）:

????with?tf.variable_scope（name）?as?scope:
????????with?tf.variable_scope（“Branch_0“）:
????????????branch_0=conv_inception（inputshape?=?[11288384]name?=?‘0a_1x1‘）
????????????branch_0=conv_inception（branch_0shape?=?[33384384]stride?=?[1221]padding?=?‘VALID‘name?=?‘0b_3x3‘

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件????????455??2018-05-04?20:50??Architecture\.idea\Architecture.iml

?????文件????????153??2018-05-04?20:54??Architecture\.idea\codestyles\codestyleConfig.xml

?????文件????????198??2018-05-04?20:54??Architecture\.idea\codestyles\Project.xml

?????文件?????????84??2018-05-04?20:54??Architecture\.idea\dictionaries\Yel.xml

?????文件????????185??2018-05-04?20:54??Architecture\.idea\misc.xml

?????文件????????276??2018-05-04?20:50??Architecture\.idea\modules.xml

?????文件??????19246??2018-05-06?21:51??Architecture\.idea\workspace.xml

?????文件??????14810??2018-05-06?11:03??Architecture\inception_v3.py

?????文件???????3783??2018-05-06?15:36??Architecture\training.py

?????目錄??????????0??2018-05-04?20:54??Architecture\.idea\codestyles

?????目錄??????????0??2018-05-04?20:54??Architecture\.idea\dictionaries

?????目錄??????????0??2018-05-06?21:51??Architecture\.idea

?????目錄??????????0??2018-05-06?15:36??Architecture

-----------?---------??----------?-----??----

????????????????39190????????????????????13