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max_unpool1d#

ivy.max_unpool1d(input, indices, kernel_size, /, *, strides=None, padding=0, data_format='NCW')[source]#

Compute a 1-D max unpooling given the 1-D pooled input x and its indices.

Parameters:

  • input (Array) – Pooled input image [batch_size, w, d_in].

  • indices (Array) – Indices obtained from the corresponding max pooling operation.

  • kernel_size (Union[Tuple[int], int]) – Size of the kernel i.e., the sliding window for each dimension of input. [w].

  • strides (Optional[Union[int, Tuple[int]]], default: None) – The stride of the sliding window for each dimension of input.

  • padding (Union[int, Tuple[int]], default: 0) – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • data_format (Optional[str], default: 'NCW') – NWC” or “NCW”. Defaults to “NWC”.

Return type:

Array

Returns:

ret – The result of the unpooling operation.

Array.max_unpool1d(self, indices, kernel_size, /, *, strides=None, padding=0, data_format='NCW')[source]#

Compute a 1-D max unpooling given the 1-D pooled input x and its indices.

Parameters:

  • self (Array) – Pooled input image [batch_size, w, d_in].

  • indices (Array) – Indices obtained from the corresponding max pooling operation.

  • kernel_size (Union[Tuple[int], int]) – Size of the kernel i.e., the sliding window for each dimension of input. [w].

  • strides (Optional[Union[int, Tuple[int]]], default: None) – The stride of the sliding window for each dimension of input.

  • padding (Union[int, Tuple[int]], default: 0) – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • data_format (Optional[str], default: 'NCW') – NWC” or “NCW”. Defaults to “NWC”.

Return type:

Array

Returns:

ret – The result of the unpooling operation.

Container.max_unpool1d(self, indices, kernel_size, /, *, strides=None, padding=0, data_format='NCW')[source]#

Compute a 1-D max unpooling given the 1-D pooled input x and its indices.

Parameters:

  • self – Pooled input image [batch_size, w, d_in].

  • indices (Union[Array, NativeArray, Container]) – Indices obtained from the corresponding max pooling operation.

  • kernel_size (Union[Tuple[int], int]) – Size of the kernel i.e., the sliding window for each dimension of input. [w].

  • strides (Optional[Union[int, Tuple[int]]], default: None) – The stride of the sliding window for each dimension of input.

  • padding (Union[int, Tuple[int]], default: 0) – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • data_format (Optional[str], default: 'NCW') – NWC” or “NCW”. Defaults to “NCW”.

Return type:

Container

Returns:

ret – The result of the unpooling operation.

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