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partial_vec_to_tensor#

ivy.partial_vec_to_tensor(x, /, shape, skip_begin=1, *, out=None)[source]#

Refolds a partially vectorised tensor into a full one.

Parameters:

  • x (Union[Array, NativeArray]) – a partially vectorised tensor

  • shape (Union[Shape, NativeShape, Sequence[int]]) – the shape of the original full tensor (including skipped dimensions)

  • skip_begin (int, default: 1) – number of dimensions to leave untouched at the beginning

  • out (Optional[Array], default: None) – optional output array, for writing the result to.

Return type:

Array

Returns:

ret – full tensor

Array.partial_vec_to_tensor(self, /, shape, skip_begin=1, *, out=None)[source]#

ivy.Array instance method variant of ivy.partial_vec_to_tensor. This method simply wraps the function, and so the docstring for ivy.partial_vec_to_tensor also applies to this method with minimal changes.

Parameters:

  • x – a partially vectorised tensor

  • shape (Union[Shape, NativeShape, Sequence[int]]) – the shape of the original full tensor (including skipped dimensions)

  • skip_begin (Optional[int], default: 1) – number of dimensions to leave untouched at the beginning

  • out (Optional[Array], default: None) – optional output array, for writing the result to.

Return type:

Array

Returns:

ret – full tensor

Container.partial_vec_to_tensor(self, /, shape, skip_begin=1, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)[source]#

ivy.Container instance method variant of ivy.partial_vec_to_tensor.

This method simply wraps the function, and so the docstring for ivy.partial_vec_to_tensor also applies to this method with minimal changes.

Parameters:

  • self (Union[Array, NativeArray, Container]) – partially vectorized tensor

  • shape (Union[Shape, NativeShape, Sequence[int], Container]) – the shape of the original full tensor (including skipped dimensions)

  • skip_begin (Optional[Union[int, Container]], default: 1) – number of dimensions to leave untouched at the beginning

  • out (Optional[Container], default: None) – optional output container, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

Container

Returns:

ret – full tensor

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