Fix doc
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Nicola Demo
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@@ -14,13 +14,15 @@ class LabelTensor(torch.Tensor):
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@staticmethod
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def __new__(cls, x, labels, *args, **kwargs):
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"""
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Create a new instance of the :class:`LabelTensor` class.
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Create a new instance of the :class:`pina.label_tensor.LabelTensor`
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class.
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:param torch.Tensor x: :class:`torch.tensor` instance to be casted as a
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:class:`LabelTensor`.
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:class:`pina.label_tensor.LabelTensor`.
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:param labels: Labels to assign to the tensor.
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:type labels: str | list[str] | dict
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:return: The instance of the :class:`LabelTensor` class.
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:return: The instance of the :class:`pina.label_tensor.LabelTensor`
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class.
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:rtype: LabelTensor
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"""
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@@ -31,9 +33,10 @@ class LabelTensor(torch.Tensor):
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@property
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def tensor(self):
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"""
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Give the tensor part of the :class:`LabelTensor` object.
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Give the tensor part of the :class:`pina.label_tensor.LabelTensor`
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object.
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:return: tensor part of the :class:`LabelTensor`.
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:return: tensor part of the :class:`pina.label_tensor.LabelTensor`.
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:rtype: torch.Tensor
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"""
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@@ -41,9 +44,10 @@ class LabelTensor(torch.Tensor):
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def __init__(self, x, labels):
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"""
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Construct a :class:`LabelTensor` by passing a dict of the labels and a
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:class:`torch.Tensor`. Internally, the initialization method will store
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check the compatibility of the labels with the tensor shape.
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Construct a :class:`pina.label_tensor.LabelTensor` by passing a dict of
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the labels and a :class:`torch.Tensor`. Internally, the initialization
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method will store check the compatibility of the labels with the tensor
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shape.
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:Example:
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>>> from pina import LabelTensor
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@@ -271,9 +275,10 @@ class LabelTensor(torch.Tensor):
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def __str__(self):
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"""
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The string representation of the :class:`LabelTensor`.
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The string representation of the :class:`pina.label_tensor.LabelTensor`.
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:return: String representation of the :class:`LabelTensor` instance.
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:return: String representation of the
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:class:`pina.label_tensor.LabelTensor` instance.
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:rtype: str
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"""
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@@ -290,8 +295,8 @@ class LabelTensor(torch.Tensor):
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Concatenate a list of tensors along a specified dimension. For more
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details, see :meth:`torch.cat`.
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:param list[LabelTensor] tensors: :class:`LabelTensor` instances to
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concatenate
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:param list[LabelTensor] tensors: :class:`pina.label_tensor.LabelTensor`
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instances to concatenate
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:param int dim: dimensions on which you want to perform the operation
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(default is 0)
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:return: A new :class:`LabelTensor' instance obtained by concatenating
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@@ -346,8 +351,8 @@ class LabelTensor(torch.Tensor):
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:param list[LabelTensor] tensors: A list of tensors to stack.
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All tensors must have the same shape.
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:return: A new :class:`LabelTensor` instance obtained by stacking the
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input tensors, with the updated labels.
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:return: A new :class:`pina.label_tensor.LabelTensor` instance obtained
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by stacking the input tensors, with the updated labels.
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:rtype: LabelTensor
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"""
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@@ -368,8 +373,8 @@ class LabelTensor(torch.Tensor):
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:param bool mode: A boolean value indicating whether the tensor should
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track gradients.If `True`, the tensor will track gradients;
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if `False`, it will not.
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:return: The :class:`LabelTensor` itself with the updated
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`requires_grad` state and retained labels.
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:return: The :class:`pina.label_tensor.LabelTensor` itself with the
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updated `requires_grad` state and retained labels.
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:rtype: LabelTensor
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"""
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@@ -394,8 +399,8 @@ class LabelTensor(torch.Tensor):
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Performs Tensor dtype and/or device conversion. For more details, see
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:meth:`torch.Tensor.to`.
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:return: A new :class:`LabelTensor` instance with the updated dtype
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and/or device and retained labels.
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:return: A new :class:`pina.label_tensor.LabelTensor` instance with the
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updated dtype and/or device and retained labels.
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:rtype: LabelTensor
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"""
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@@ -405,11 +410,11 @@ class LabelTensor(torch.Tensor):
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def clone(self, *args, **kwargs):
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"""
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Clone the :class:`LabelTensor`. For more details, see
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Clone the :class:`pina.label_tensor.LabelTensor`. For more details, see
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:meth:`torch.Tensor.clone`.
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:return: A new :class:`LabelTensor` instance with the same data and
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labels but allocated in a different memory location.
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:return: A new :class:`pina.label_tensor.LabelTensor` instance with the
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same data and labels but allocated in a different memory location.
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:rtype: LabelTensor
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"""
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@@ -466,10 +471,11 @@ class LabelTensor(torch.Tensor):
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"""
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Stack tensors vertically. For more details, see :meth:`torch.vstack`.
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:param list of LabelTensor label_tensors: The :class:`LabelTensor`
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instances to stack. They need to have equal labels.
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:return: A new :class:`LabelTensor` instance obtained by stacking the
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input tensors vertically.
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:param list of LabelTensor label_tensors: The
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:class:`pina.label_tensor.LabelTensor` instances to stack. They need
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to have equal labels.
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:return: A new :class:`pina.label_tensor.LabelTensor` instance obtained
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by stacking the input tensors vertically.
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:rtype: LabelTensor
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"""
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@@ -524,15 +530,15 @@ class LabelTensor(torch.Tensor):
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def __getitem__(self, index):
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""" "
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Override the __getitem__ method to handle the labels of the
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:class:`LabelTensor` instance. It first performs __getitem__ operation
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on the :class:`torch.Tensor` part of the instance, then updates the
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labels based on the index.
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:class:`pina.label_tensor.LabelTensor` instance. It first performs
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__getitem__ operation on the :class:`torch.Tensor` part of the instance,
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then updates the labels based on the index.
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:param index: The index used to access the item
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:type index: int | str | tuple of int | list ot int | torch.Tensor
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:return: A new :class:`LabelTensor` instance obtained __getitem__
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operation on :class:`torch.Tensor` part of the instance, with the
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updated labels.
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:return: A new :class:`pina.label_tensor.LabelTensor` instance obtained
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`__getitem__` operation on :class:`torch.Tensor` part of the
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instance, with the updated labels.
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:rtype: LabelTensor
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:raises KeyError: If an invalid label index is provided.
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@@ -665,7 +671,8 @@ class LabelTensor(torch.Tensor):
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@staticmethod
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def summation(tensors):
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"""
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Computes the summation of a list of :class:`LabelTensor` instances.
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Computes the summation of a list of
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:class:`pina.label_tensor.LabelTensor` instances.
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:param list[LabelTensor] tensors: A list of tensors to sum. All
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@@ -712,8 +719,8 @@ class LabelTensor(torch.Tensor):
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For more details, see :meth:`torch.Tensor.reshape`.
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:param tuple of int shape: The new shape of the tensor.
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:return: A new :class:`LabelTensor` instance with the updated shape and
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labels.
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:return: A new :class:`pina.label_tensor.LabelTensor` instance with the
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updated shape and labels.
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:rtype: LabelTensor
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"""
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