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Commit 5a68ac62 authored by A. Unique TensorFlower's avatar A. Unique TensorFlower
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Internal change 

PiperOrigin-RevId: 312626203
parent 0ff8d37a
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official/r1/mnist/mnist_eager.py
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...@@ -32,6 +32,8 @@ import time ...@@ -32,6 +32,8 @@ import time
# pylint: disable=g-bad-import-order # pylint: disable=g-bad-import-order
from absl import app as absl_app from absl import app as absl_app
from absl import flags from absl import flags
from six.moves import range
from six.moves import zip
import tensorflow as tf import tensorflow as tf
from tensorflow.python import eager as tfe from tensorflow.python import eager as tfe
# pylint: enable=g-bad-import-order # pylint: enable=g-bad-import-order
...@@ -75,7 +77,7 @@ def train(model, optimizer, dataset, step_counter, log_interval=None): ...@@ -75,7 +77,7 @@ def train(model, optimizer, dataset, step_counter, log_interval=None):
compute_accuracy(logits, labels)) compute_accuracy(logits, labels))
grads = tape.gradient(loss_value, model.variables) grads = tape.gradient(loss_value, model.variables)
optimizer.apply_gradients( optimizer.apply_gradients(
zip(grads, model.variables), global_step=step_counter) list(zip(grads, model.variables)), global_step=step_counter)
if log_interval and batch % log_interval == 0: if log_interval and batch % log_interval == 0:
rate = log_interval / (time.time() - start) rate = log_interval / (time.time() - start)
print('Step #%d\tLoss: %.6f (%d steps/sec)' % (batch, loss_value, rate)) print('Step #%d\tLoss: %.6f (%d steps/sec)' % (batch, loss_value, rate))
......
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