tf.compat.v1.tpu.experimental.AdamParameters

View source on GitHub

Optimization parameters for Adam with TPU embeddings.

tf.compat.v1.tpu.experimental.AdamParameters(
    learning_rate, beta1=0.9, beta2=0.999, epsilon=1e-08, lazy_adam=True,
    sum_inside_sqrt=True, use_gradient_accumulation=True, clip_weight_min=None,
    clip_weight_max=None
)

Pass this to tf.estimator.tpu.experimental.EmbeddingConfigSpec via the optimization_parameters argument to set the optimizer and its parameters. See the documentation for tf.estimator.tpu.experimental.EmbeddingConfigSpec for more details.

estimator = tf.estimator.tpu.TPUEstimator(
    ...
    embedding_config_spec=tf.estimator.tpu.experimental.EmbeddingConfigSpec(
        ...
        optimization_parameters=tf.tpu.experimental.AdamParameters(0.1),
        ...))

Args: