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Mojo function

pool_shape_impl

pool_shape_impl[input_type: DType, filter_type: DType, strides_type: DType, dilations_type: DType, paddings_type: DType, ceil_mode: Bool](input_buf: TileTensor[input_type, address_space=input_buf.address_space, linear_idx_type=input_buf.linear_idx_type, element_size=input_buf.element_size], filter_buf: TileTensor[filter_type, address_space=filter_buf.address_space, linear_idx_type=filter_buf.linear_idx_type, element_size=filter_buf.element_size], strides_buf: TileTensor[strides_type, address_space=strides_buf.address_space, linear_idx_type=strides_buf.linear_idx_type, element_size=strides_buf.element_size], dilations_buf: TileTensor[dilations_type, address_space=dilations_buf.address_space, linear_idx_type=dilations_buf.linear_idx_type, element_size=dilations_buf.element_size], paddings_buf: TileTensor[paddings_type, address_space=paddings_buf.address_space, linear_idx_type=paddings_buf.linear_idx_type, element_size=paddings_buf.element_size]) -> IndexList[TileTensor[input_type, input_buf.LayoutType, input_buf.origin, address_space=input_buf.address_space, linear_idx_type=input_buf.linear_idx_type, element_size=input_buf.element_size].rank]

Compute the output shape of a pooling operation, and assert the inputs are compatible. Works for 2D pool operations only in the NHWC format.

Parameters:

  • ​input_type (DType): Type of the input tensor.
  • ​filter_type (DType): Type of the filter tensor.
  • ​strides_type (DType): Type of the strides tensor.
  • ​dilations_type (DType): Type of the dilations tensor.
  • ​paddings_type (DType): Type of the paddings tensor.
  • ​ceil_mode (Bool): Define rounding mode for shape calculation.

Args:

Returns:

IndexList[TileTensor[input_type, input_buf.LayoutType, input_buf.origin, address_space=input_buf.address_space, linear_idx_type=input_buf.linear_idx_type, element_size=input_buf.element_size].rank]: The output shape.