Update docs

Author: github-actions[bot]

_sources/autoapi/tilelang/carver/arch/cdna/index.rst.txt

@@ -30,9 +30,6 @@ Module Contents
    Bases: :py:obj:`tilelang.carver.arch.arch_base.TileDevice`
 
 
-   Represents the architecture of a computing device, capturing various hardware specifications.
-
-
    .. py:attribute:: target
 
 

_sources/autoapi/tilelang/carver/arch/cpu/index.rst.txt

@@ -30,9 +30,6 @@ Module Contents
    Bases: :py:obj:`tilelang.carver.arch.arch_base.TileDevice`
 
 
-   Represents the architecture of a computing device, capturing various hardware specifications.
-
-
    .. py:attribute:: target
 
 

_sources/autoapi/tilelang/carver/arch/cuda/index.rst.txt

@@ -92,9 +92,6 @@ Module Contents
    Bases: :py:obj:`tilelang.carver.arch.arch_base.TileDevice`
 
 
-   Represents the architecture of a computing device, capturing various hardware specifications.
-
-
    .. py:attribute:: target
 
 

_sources/autoapi/tilelang/carver/roller/hint/index.rst.txt

@@ -307,12 +307,12 @@ Module Contents
 
 
    .. py:property:: raxis_order
-      :type: tilelang.carver.roller.rasterization.List[int]
+      :type: List[int]
 
 
 
    .. py:property:: step
-      :type: tilelang.carver.roller.rasterization.List[int]
+      :type: List[int]
 
 
 

_sources/autoapi/tilelang/carver/roller/policy/tensorcore/index.rst.txt

@@ -30,15 +30,11 @@ Module Contents
 
 .. py:data:: logger
 
-.. py:class:: TensorCorePolicy(arch, tags = None)
+.. py:class:: TensorCorePolicy
 
    Bases: :py:obj:`tilelang.carver.roller.policy.default.DefaultPolicy`
 
 
-   Default Policy for fastdlight, a heuristic plan that tries to
-   minimize memory traffic and maximize parallelism.for BitBLAS Schedule.
-
-
    .. py:attribute:: wmma_k
       :type:  int
       :value: 16
@@ -65,67 +61,16 @@ Module Contents
 
    .. py:method:: infer_node_smem_usage(td, node)
 
-      Infers the shared memory usage of a node given a TileDict configuration.
-
-      :param td: The TileDict object containing the tile configuration.
-      :type td: TileDict
-      :param node: The node for which to infer the shared memory usage.
-      :type node: PrimFuncNode
-
-      :returns: The estimated amount of shared memory used by the node.
-      :rtype: int
-
-
 
    .. py:method:: get_node_reduce_step_candidates(node)
 
-      Calculates reduction step candidates for each reduction axis in a PrimFuncNode. General idea : use factor first, since it does not require extra boundary check. for large prime number, which is rare case, use power of 2.
-
-      :param node: The node for which to calculate reduction step candidates. It contains reduction axes (raxis)
-                   with their domains (dom.extent).
-      :type node: PrimFuncNode
-
-      :returns: A dictionary mapping axis variable names to lists of step candidates. For each axis in the node,
-                this function calculates possible step sizes. For axes with a large prime domain, it uses powers of 2
-                as step candidates; for others, it uses all factors of the domain.
-      :rtype: Dict[str, List[int]]
-
-
 
    .. py:method:: check_tile_shape_isvalid(td)
 
-      Checks if the tile shapes in the TileDict are valid for the nodes in this context.
-
-      Parameters:
-      - td (TileDict): The TileDict object containing tile shapes and other configurations.
-
-      Returns:
-      - bool: True if all tile shapes are valid, False otherwise.
-
-
 
    .. py:method:: compute_node_stride_map(node, td)
 
-      Computes the stride map for a given node based on the TileDict configuration.
-
-      :param node: The node for which to compute the stride map.
-      :type node: PrimFuncNode
-      :param td: The TileDict object containing the tile configuration.
-      :type td: TileDict
-
-      :returns: A tuple of dictionaries containing the output strides and tensor strides.
-      :rtype: Tuple[Dict, Dict]
-
-
 
    .. py:method:: plan_rasterization(td)
 
-      Plans the rasterization for the given TileDict. This function is not implemented yet.
-
-      :param td: The TileDict object to plan rasterization for.
-      :type td: TileDict
-
-      :raises RasterRationPlan: This function is not implemented yet.
-
-
 

_sources/autoapi/tilelang/carver/template/flashattention/index.rst.txt

@@ -20,6 +20,11 @@ Module Contents
    Bases: :py:obj:`tilelang.carver.template.base.BaseTemplate`
 
 
+   Base class template for hardware-aware configurations.
+   This serves as an abstract base class (ABC) that defines the structure
+   for subclasses implementing hardware-specific optimizations.
+
+
    .. py:attribute:: batch_size
       :type:  int
       :value: 1

_sources/autoapi/tilelang/carver/template/general_reduce/index.rst.txt

@@ -20,6 +20,11 @@ Module Contents
    Bases: :py:obj:`tilelang.carver.template.base.BaseTemplate`
 
 
+   Base class template for hardware-aware configurations.
+   This serves as an abstract base class (ABC) that defines the structure
+   for subclasses implementing hardware-specific optimizations.
+
+
    .. py:attribute:: structure
       :type:  Union[str, List[str]]
       :value: None
@@ -40,6 +45,19 @@ Module Contents
 
    .. py:method:: get_hardware_aware_configs(arch = None, topk = 10)
 
+      Abstract method that must be implemented by subclasses.
+      It should return a list of hardware-aware configurations (hints)
+      based on the specified architecture.
+
+      :param arch: The target architecture. Defaults to None.
+      :type arch: TileDevice, optional
+      :param topk: Number of top configurations to return. Defaults to 10.
+      :type topk: int, optional
+
+      :returns: A list of recommended hardware-aware configurations.
+      :rtype: List[Hint]
+
+
 
    .. py:method:: initialize_function()