warp.tid
========

.. function:: warp._src.lang.tid() -> int

   .. hlist::
      :columns: 8

      * Kernel

   Query the current thread index or indices.
   
   The return type is determined by the unpacking syntax used:
   
   - ``i = wp.tid()`` - Returns the first thread index as ``int``
   - ``i, j = wp.tid()`` - Returns the first two indices as ``tuple[int, int]``
   - ``i, j, k = wp.tid()`` - Returns the first three indices as ``tuple[int, int, int]``
   - ``i, j, k, l = wp.tid()`` - Returns all four indices as ``tuple[int, int, int, int]``
   
   The indices correspond to the thread's position in the kernel launch grid.
   If fewer indices are requested than the launch dimensionality, only the
   leading indices are returned.
   For multi-dimensional launches, the linear thread order is unraveled in
   row-major order, with the last launch dimension varying fastest.
   
   This function may not be called from user-defined Warp functions.

.. function:: warp._src.lang.tid() -> tuple[int, int]
   :noindex:

   .. hlist::
      :columns: 8

      * Kernel

   Query the current thread index or indices.
   
   The return type is determined by the unpacking syntax used:
   
   - ``i = wp.tid()`` - Returns the first thread index as ``int``
   - ``i, j = wp.tid()`` - Returns the first two indices as ``tuple[int, int]``
   - ``i, j, k = wp.tid()`` - Returns the first three indices as ``tuple[int, int, int]``
   - ``i, j, k, l = wp.tid()`` - Returns all four indices as ``tuple[int, int, int, int]``
   
   The indices correspond to the thread's position in the kernel launch grid.
   If fewer indices are requested than the launch dimensionality, only the
   leading indices are returned.
   For multi-dimensional launches, the linear thread order is unraveled in
   row-major order, with the last launch dimension varying fastest.
   
   This function may not be called from user-defined Warp functions.

.. function:: warp._src.lang.tid() -> tuple[int, int, int]
   :noindex:

   .. hlist::
      :columns: 8

      * Kernel

   Query the current thread index or indices.
   
   The return type is determined by the unpacking syntax used:
   
   - ``i = wp.tid()`` - Returns the first thread index as ``int``
   - ``i, j = wp.tid()`` - Returns the first two indices as ``tuple[int, int]``
   - ``i, j, k = wp.tid()`` - Returns the first three indices as ``tuple[int, int, int]``
   - ``i, j, k, l = wp.tid()`` - Returns all four indices as ``tuple[int, int, int, int]``
   
   The indices correspond to the thread's position in the kernel launch grid.
   If fewer indices are requested than the launch dimensionality, only the
   leading indices are returned.
   For multi-dimensional launches, the linear thread order is unraveled in
   row-major order, with the last launch dimension varying fastest.
   
   This function may not be called from user-defined Warp functions.

.. function:: warp._src.lang.tid() -> tuple[int, int, int, int]
   :noindex:

   .. hlist::
      :columns: 8

      * Kernel

   Query the current thread index or indices.
   
   The return type is determined by the unpacking syntax used:
   
   - ``i = wp.tid()`` - Returns the first thread index as ``int``
   - ``i, j = wp.tid()`` - Returns the first two indices as ``tuple[int, int]``
   - ``i, j, k = wp.tid()`` - Returns the first three indices as ``tuple[int, int, int]``
   - ``i, j, k, l = wp.tid()`` - Returns all four indices as ``tuple[int, int, int, int]``
   
   The indices correspond to the thread's position in the kernel launch grid.
   If fewer indices are requested than the launch dimensionality, only the
   leading indices are returned.
   For multi-dimensional launches, the linear thread order is unraveled in
   row-major order, with the last launch dimension varying fastest.
   
   This function may not be called from user-defined Warp functions.