diff --git a/examples/integration-tf.jl b/examples/integration-tf.jl
index 12faa4d9..eddfb834 100644
--- a/examples/integration-tf.jl
+++ b/examples/integration-tf.jl
@@ -38,7 +38,7 @@ train_step = train.minimize(train.AdamOptimizer(1e-4), cross_entropy)
 
 accuracy = reduce_mean(cast(indmax(y, 2) .== indmax(y′, 2), Float32))
 
-run(session, initialize_all_variables())
+run(session, global_variables_initializer())
 
 @progress for i in 1:1000
     batch = next_batch(loader, 50)
diff --git a/src/backend/tensorflow/model.jl b/src/backend/tensorflow/model.jl
index ed869504..2ec5ebe9 100644
--- a/src/backend/tensorflow/model.jl
+++ b/src/backend/tensorflow/model.jl
@@ -9,7 +9,7 @@ end
 
 function makesession(model, inputs; session = Session(Graph()))
   params, stacks, output = tograph(model, inputs...)
-  run(session, initialize_all_variables())
+  run(session, global_variables_initializer())
   Model(model, session, params, stacks, inputs, output)
 end
 
diff --git a/test/backend/tensorflow.jl b/test/backend/tensorflow.jl
index 459402cd..81a9ad98 100644
--- a/test/backend/tensorflow.jl
+++ b/test/backend/tensorflow.jl
@@ -13,7 +13,7 @@ dt = tf(d)
   sess = TensorFlow.Session()
   X = placeholder(Float32)
   Y = Tensor(d, X)
-  run(sess, initialize_all_variables())
+  run(sess, global_variables_initializer())
 
   @test run(sess, Y, Dict(X=>Float32.(xs))) ≈ d(xs)
 end