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https://github.com/vale981/ray
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53 lines
2.1 KiB
Python
53 lines
2.1 KiB
Python
import gym
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from typing import Optional
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from ray.rllib.utils.framework import try_import_torch
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torch, _ = try_import_torch()
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class ViewRequirement:
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"""Single view requirement (for one column in an SampleBatch/input_dict).
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Note: This is an experimental class used only if
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`_use_trajectory_view_api` in the config is set to True.
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Policies and ModelV2s return a Dict[str, ViewRequirement] upon calling
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their `[train|inference]_view_requirements()` methods, where the str key
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represents the column name (C) under which the view is available in the
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input_dict/SampleBatch and ViewRequirement specifies the actual underlying
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column names (in the original data buffer), timestep shifts, and other
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options to build the view.
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Examples:
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>>> # The default ViewRequirement for a Model is:
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>>> req = [ModelV2].inference_view_requirements()
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>>> print(req)
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{"obs": ViewRequirement(shift=0)}
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"""
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def __init__(self,
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data_col: Optional[str] = None,
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space: gym.Space = None,
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shift: int = 0):
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"""Initializes a ViewRequirement object.
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Args:
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data_col (): The data column name from the SampleBatch (str key).
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If None, use the dict key under which this ViewRequirement
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resides.
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space (gym.Space): The gym Space used in case we need to pad data
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in inaccessible areas of the trajectory (t<0 or t>H).
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Default: Simple box space, e.g. rewards.
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shift (Union[List[int], int]): Single shift value of list of
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shift values to use relative to the underlying `data_col`.
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Example: For a view column "prev_actions", you can set
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`data_col="actions"` and `shift=-1`.
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Example: For a view column "obs" in an Atari framestacking
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fashion, you can set `data_col="obs"` and
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`shift=[-3, -2, -1, 0]`.
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"""
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self.data_col = data_col
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self.space = space or gym.spaces.Box(
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float("-inf"), float("inf"), shape=())
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self.shift = shift
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