jax.lax.conv(lhs, rhs, window_strides, padding, precision=None, preferred_element_type=None)[source]#

Convenience wrapper around conv_general_dilated.

  • lhs (Any) – a rank n+2 dimensional input array.

  • rhs (Any) – a rank n+2 dimensional array of kernel weights.

  • window_strides (Sequence[int]) – a sequence of n integers, representing the inter-window strides.

  • padding (str) – either the string β€˜SAME’, the string β€˜VALID’.

  • precision (Union[None, str, Precision, Tuple[str, str], Tuple[Precision, Precision]]) – Optional. Either None, which means the default precision for the backend, a Precision enum value (Precision.DEFAULT, Precision.HIGH or Precision.HIGHEST) or a tuple of two Precision enums indicating precision of lhs` and rhs.

  • preferred_element_type (Optional[Any]) – Optional. Either None, which means the default accumulation type for the input types, or a datatype, indicating to accumulate results to and return a result with that datatype.

Return type



An array containing the convolution result.