#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Dec 23 11:26:04 2018""" import tensorflow as tf #創建圖 c=tf.constant(0.0) g=tf.Graph() with g.as_default():c1=tf.constant(0.1)print(c1.graph)print(g)print(c.graph)

<tensorflow.python.framework.ops.Graph object at 0xb1cd345c0>
<tensorflow.python.framework.ops.Graph object at 0xb1cd345c0>
<tensorflow.python.framework.ops.Graph object at 0x10d1f6160>
從輸出可以看出
print(c1.graph)
print(g)
輸出為同一個計算圖，
而 print(c.graph)為另一個計算圖

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Dec 23 11:26:04 2018""" import tensorflow as tf #創建圖 c=tf.constant(0.0) g=tf.Graph() with g.as_default():c1=tf.constant(0.1) g2=tf.get_default_graph() print(g2) tf.reset_default_graph() g3=tf.get_default_graph() print(g3) print(c1.name)

<tensorflow.python.framework.ops.Graph object at 0xb19ce09b0>
<tensorflow.python.framework.ops.Graph object at 0xb19ce0e48>
Const:0
重置計算圖以及獲得tensor

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Dec 23 11:26:04 2018@author: myhaspl """ import tensorflow as tf #創建圖 c=tf.constant(0.0) g=tf.Graph() with g.as_default():c1=tf.constant(0.1) g2=tf.get_default_graph() print(g2) tf.reset_default_graph() g3=tf.get_default_graph() print(g3) print(c1.name) t=g.get_tensor_by_name(name="Const:0") print(t) a=tf.constant([[1.0,2.0]]) b=tf.constant([[1.0],[3.0]]) tensor1=tf.matmul(a,b,name="exampleop") print(tensor1.name,tensor1) test=g3.get_tensor_by_name("exampleop:0") print(test)print(tensor1.op.name) testop=g3.get_operation_by_name("exampleop") print(testop)with tf.Session() as sess:test=sess.run(test)print(test)test=tf.get_default_graph().get_tensor_by_name("exampleop:0")print(test) tt2=g.get_operations() print(tt2)tt3=g.as_graph_element(c1) print(tt3)

<tensorflow.python.framework.ops.Graph object at 0x7f8aaa8e5160>
<tensorflow.python.framework.ops.Graph object at 0x7f8a90a9a710>
Const:0
Tensor(“Const:0”, shape=(), dtype=float32)
exampleop:0 Tensor(“exampleop:0”, shape=(1, 1), dtype=float32)
Tensor(“exampleop:0”, shape=(1, 1), dtype=float32)
exampleop
name: “exampleop”
op: “MatMul”
input: “Const”
input: “Const_1”
attr {
key: “T”
value {
type: DT_FLOAT
}
}
attr {
key: “transpose_a”
value {
b: false
}
}
attr {
key: “transpose_b”
value {
b: false
}
}

2018-12-25 17:26:56.179157: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
[[7.]]
Tensor(“exampleop:0”, shape=(1, 1), dtype=float32)
[<tf.Operation ‘Const’ type=Const>]
Tensor(“Const:0”, shape=(), dtype=float32)
[

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