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jax.lax.conv_with_general_padding¶
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jax.lax.conv_with_general_padding(lhs, rhs, window_strides, padding, lhs_dilation, rhs_dilation, precision=None)[source]¶ Convenience wrapper around conv_general_dilated.
- Parameters
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 (
Union[str,Sequence[Tuple[int,int]]]) – either the string ‘SAME’, the string ‘VALID’, or a sequence of n (low, high) integer pairs that give the padding to apply before and after each spatial dimension.lhs_dilation (
Optional[Sequence[int]]) – None, or a sequence of n integers, giving the dilation factor to apply in each spatial dimension of lhs. LHS dilation is also known as transposed convolution.rhs_dilation (
Optional[Sequence[int]]) – None, or a sequence of n integers, giving the dilation factor to apply in each spatial dimension of rhs. RHS dilation is also known as atrous convolution.precision (
Union[None,Any,Tuple[Any,Any]]) – Optional. EitherNone, which means the default precision for the backend, alax.Precisionenum value (Precision.DEFAULT,Precision.HIGHorPrecision.HIGHEST) or a tuple of twolax.Precisionenums indicating precision oflhs`andrhs.
- Return type
- Returns
An array containing the convolution result.