Source code for polygraphy.comparator.postprocess

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from polygraphy import mod, util

np = mod.lazy_import("numpy")

[docs] @mod.export() class PostprocessFunc: """ Provides functions that can apply post-processing to `IterationResult` s. """
[docs] @staticmethod # This function returns a top_k function that can be used as a postprocess_func. def top_k(k=None): """ Creates a function that applies a Top-K operation to a IterationResult. Top-K will return the indices of the k largest values in the array. Args: k (Union[int, Tuple[int, int], Dict[str, int], Dict[str, Tuple[int, int]]]): The number of indices to keep and optionally the axis on which to operate. For example, a value of ``(5, 0)`` would keep the top 5 indices along axis 0. If this exceeds the axis length, it will be clamped. This can be specified on a per-output basis by providing a dictionary. In that case, use an empty string ("") as the key to specify default top-k value for outputs not explicitly listed. If no default is present, unspecified outputs will not be modified. Defaults to 10. Returns: Callable(IterationResult) -> IterationResult: The top-k function. """ k = util.default(k, 10) axis = -1 # Top-K implementation. def top_k_impl(iter_result): for name, output in iter_result.items(): k_val = util.value_or_from_dict(k, name) if k_val: nonlocal axis if util.is_sequence(k_val): k_val, axis = k_val iter_result[name] = util.array.topk(output, k_val, axis)[1] return iter_result return top_k_impl