5.3. TensorFlow 2

3.3.0

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TensorFlow 2 IPUStrategy is initialised with the wrong number of replicas.

When training a model with multiple replicas, this issue causes an optimizer to apply the sum of the gradients, instead of the mean, over all the replicas. A workaround is for the user to provide a gradient_transformer function to the optimizer that divides the gradients (after the sum-reduction across replicas) by the number of replicas being used.

See, for example, the optimizer_factory module in our TensorFlow 2 CNN example.
The program can terminate unexpectedly if you provide a 0-dimensional Tensor to a tf.Dataset.

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TensorFlow 2 IPUStrategy is initialised with the wrong number of replicas.

When training a model with multiple replicas, this issue causes an optimizer to apply the sum of the gradients, instead of the mean, over all the replicas. A workaround is for the user to provide a gradient_transformer function to the optimizer that divides the gradients (after the sum-reduction across replicas) by the number of replicas being used.

See, for example, the optimizer_factory module in our TensorFlow 2 CNN example.
The program can terminate unexpectedly if you provide a 0-dimensional Tensor to a tf.Dataset.

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