"""namespace of IR node builder make function This namespace is used for developers. While you do not see any declarations. The functions are automatically exported from C++ side via PackedFunc. Each api is a PackedFunc that can be called in a positional argument manner. You can use make function to build the IR node. """ from __future__ import absolute_import as _abs from ._ffi.function import _init_api from ._ffi.runtime_ctypes import TVMType def range_by_min_extent(min_value, extent): """Construct a Range by min and extent. This constructs a range in [min_value, min_value + extent) Parameters ---------- min_value : Expr The minimum value of the range. extent : Expr The extent of the range. Returns ------- rng : Range The constructed range. """ return _range_by_min_extent(min_value, extent) def static_cast(dtype, expr): """Cast expr to dtype. If expr is scalar and dtype is a corresponding vector type, a Broadcast is generated. Otherwise it is a Cast. Parameters ---------- dtype : str The target data type. expr : Expr The expression to be casted. Returns ------- casted : Expr The casted expression. """ target_type = TVMType(dtype) src_type = TVMType(expr.dtype) if target_type.type_code == src_type.type_code and src_type.bits == target_type.bits: if src_type.lanes == target_type.lanes: return expr if src_type.lanes == 1 and target_type.lanes > 1: return Broadcast(expr, target_type.lanes) return Cast(dtype, expr) def node(type_key, **kwargs): """Make a new DSL node by its type key and fields Parameters ---------- type_key : str The type key of the node. **kwargs : dict The fields of the node. Returns ------- node : Node The corresponding DSL Node Note ---- If the created node is instance of AttrsNode, then the creator function will also run bound checks and default value setup as supported by Attrs. Example ------- The following code constructs a IntImm object .. code-block:: python x = tvm.make.node("IntImm", dtype="int32", value=10) assert isinstance(x, tvm.expr.IntImm) assert x.value == 10 """ args = [type_key] for k, v in kwargs.items(): args += [k, v] return _Node(*args) _init_api("tvm.make")