Inherite tensors from another graph (tensorflow)
code example:
import tensorflow as tf
g1 = tf.Graph()
with g1.as_default():
# set variables/placeholders
tf.placeholder(tf.int32, [], name='g1_a')
tf.placeholder(tf.int32, [], name='g1_b')
# example on exacting tensor by name
a = g1.get_tensor_by_name('g1_a:0')
b = g1.get_tensor_by_name('g1_b:0')
# operation ==>> c = 2 * 3 = 6
mul_op = tf.multiply(a, b, name='g1_mul')
sess = tf.Session()
g1_mul_results = sess.run(mul_op, feed_dict={'g1_a:0': 2, 'g1_b:0': 3})
print('graph1 mul = ', g1_mul_results) # output = 6
print('\ngraph01 operations/variables:')
for op in g1.get_operations():
print(op.name)
g2 = tf.Graph()
with g2.as_default():
# set variables/placeholders
tf.import_graph_def(g1.as_graph_def())
g2_c = tf.placeholder(tf.int32, [], name='g2_c')
# example on exacting tensor by name
g1_b = g2.get_tensor_by_name('import/g1_b:0')
g1_mul = g2.get_tensor_by_name('import/g1_mul:0')
# operation ==>>
b = tf.multiply(g1_b, g2_c, name='g2_var_times_g1_a')
f = tf.multiply(g1_mul, g1_b, name='g1_mul_times_g1_b')
print('\ngraph01 operations/variables:')
for op in g2.get_operations():
print(op.name)
sess = tf.Session()
# graph1 variable 'a' times graph2 variable 'c'
ans = sess.run('g2_var_times_g1_a:0', feed_dict={'g2_c:0': 4, 'import/g1_b:0': 5})
print('\ngraph2 g2_var_times_g1_a = ', ans) # output = 20
# graph1 mul_op (a*b) times graph1 variable 'b'
ans = sess.run('g1_a_times_g1_b:0',
feed_dict={'import/g1_a:0': 6, 'import/g1_b:0': 7})
print('\ngraph2 g1_mul_times_g1_b:0 = ', ans) # output = (6*7)*7 = 294
''' output
graph1 mul = 6
graph01 operations/variables:
g1_a
g1_b
g1_mul
graph01 operations/variables:
import/g1_a
import/g1_b
import/g1_mul
g2_c
g2_var_times_g1_a
g1_a_times_g1_b
graph2 g2_var_times_g1_a = 20
graph2 g1_a_times_g1_b:0 = 294 '''For more examples LINK
