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intermediate_source/reinforcement_ppo.py

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print("Shape of the rollout TensorDict:", rollout.batch_size)
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######################################################################
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# Our rollout data has a shape of ``torch.Size([3])`, which matches the number of steps
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# Our rollout data has a shape of ``torch.Size([3])``, which matches the number of steps
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# we ran it for. The ``"next"`` entry points to the data coming after the current step.
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# In most cases, the ``"next""`` data at time `t` matches the data at ``t+1``, but this
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# may not be the case if we are using some specific transformations (for example, multi-step).

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