For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).

Mojo function

avg_pool

def avg_pool[dtype: DType, int_type: DType, count_boundary: Bool = False, target: StringSlice[StaticConstantOrigin] = StringSlice("cpu")](input: TileTensor[dtype, Storage=input.Storage, address_space=input.address_space, linear_idx_type=input.linear_idx_type, element_size=input.element_size], filter: TileTensor[int_type, Storage=filter.Storage, address_space=filter.address_space, linear_idx_type=filter.linear_idx_type, element_size=filter.element_size], strides: TileTensor[int_type, Storage=strides.Storage, address_space=strides.address_space, linear_idx_type=strides.linear_idx_type, element_size=strides.element_size], dilations: TileTensor[int_type, Storage=dilations.Storage, address_space=dilations.address_space, linear_idx_type=dilations.linear_idx_type, element_size=dilations.element_size], paddings: TileTensor[int_type, Storage=paddings.Storage, address_space=paddings.address_space, linear_idx_type=paddings.linear_idx_type, element_size=paddings.element_size], output: TileTensor[dtype, Storage=output.Storage, address_space=output.address_space, linear_idx_type=output.linear_idx_type, element_size=output.element_size], ceil_mode: Bool = False, ctx: Optional[DeviceContext] = None)

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