Source code for tinygrad.renderer.llvmir

from typing import Final, Dict, Callable, Any, List, Optional, Tuple
from llvmlite import ir
from tinygrad.codegen.linearizer import UOps, UOp
from tinygrad.helpers import dtypes
from tinygrad.ops import Op, UnaryOps, BinaryOps, TernaryOps

LLVM_FAST_MATH_FLAGS = (
    "nsz",
    "arcp",
    "contract",
    "afn",
    "reassoc",
)  # All from fast math, but nnan and ninf


[docs] def is_bool(t: ir.Type): """Determine if the input type is a boolean. Checks whether the given type is an instance of `ir.IntType` and its width is 1, which indicates that it's a boolean type. :param t: The input type to check. :type t: ir.Type :return: True if the input type is a boolean, False otherwise. :rtype: bool """ return isinstance(t, ir.IntType) and t.width == 1
code_for_op: Final[Dict[Op, Callable]] = { UnaryOps.NEG: lambda builder, x: builder.xor(x, ir.Constant(ir.IntType(1), 1)) if is_bool(x.type) else builder.neg(x) if isinstance(x.type, ir.IntType) else builder.fneg(x, flags=LLVM_FAST_MATH_FLAGS), UnaryOps.EXP2: lambda builder, x: builder.call( builder._block.module.declare_intrinsic("llvm.exp2", [ir.FloatType()]), [x], fastmath=LLVM_FAST_MATH_FLAGS, ), UnaryOps.LOG2: lambda builder, x: builder.call( builder._block.module.declare_intrinsic("llvm.log2", [ir.FloatType()]), [x], fastmath=LLVM_FAST_MATH_FLAGS, ), UnaryOps.SIN: lambda builder, x: builder.call( builder._block.module.declare_intrinsic("llvm.sin", [ir.FloatType()]), [x], fastmath=LLVM_FAST_MATH_FLAGS, ), UnaryOps.SQRT: lambda builder, x: builder.call( builder._block.module.declare_intrinsic("llvm.sqrt", [ir.FloatType()]), [x], fastmath=LLVM_FAST_MATH_FLAGS, ), BinaryOps.ADD: lambda builder, x, y: builder.add(x, y) if isinstance(x.type, ir.IntType) else builder.fadd(x, y, flags=LLVM_FAST_MATH_FLAGS), BinaryOps.SUB: lambda builder, x, y: builder.sub(x, y) if isinstance(x.type, ir.IntType) else builder.fsub(x, y, flags=LLVM_FAST_MATH_FLAGS), BinaryOps.MUL: lambda builder, x, y: builder.mul(x, y) if isinstance(x.type, ir.IntType) else builder.fmul(x, y, flags=LLVM_FAST_MATH_FLAGS), BinaryOps.DIV: lambda builder, x, y: builder.sdiv(x, y) if isinstance(x.type, ir.IntType) else builder.fdiv(x, y, flags=LLVM_FAST_MATH_FLAGS), BinaryOps.CMPLT: lambda builder, x, y: builder.icmp_unsigned("<", x, y) if is_bool(x.type) else builder.icmp_signed("<", x, y) if isinstance(x.type, ir.IntType) else builder.fcmp_unordered("<", x, y, flags=LLVM_FAST_MATH_FLAGS), BinaryOps.MAX: lambda builder, x, y: builder.select( builder.icmp_unsigned(">", x, y) if is_bool(x.type) else builder.icmp_signed(">", x, y) if isinstance(x.type, ir.IntType) else builder.fcmp_unordered(">", x, y, flags=LLVM_FAST_MATH_FLAGS), x, y, ), BinaryOps.MOD: lambda builder, x, y: builder.urem(x, y) if is_bool(x.type) else builder.srem(x, y) if isinstance(x.type, ir.IntType) else builder.frem(x, y), TernaryOps.MULACC: lambda builder, x, y, z: builder.fadd( builder.fmul(x, y, flags=LLVM_FAST_MATH_FLAGS), z, flags=LLVM_FAST_MATH_FLAGS ), TernaryOps.WHERE: lambda builder, x, y, z: builder.select( builder.trunc(x, ir.IntType(1)) if isinstance(x.type, ir.IntType) else builder.fcmp_unordered( "!=", x, ir.Constant(ir.FloatType(), 0), flags=LLVM_FAST_MATH_FLAGS ), y, z, ), } dtype_to_llvm_dtype = { dtypes.float64: ir.DoubleType(), dtypes.float16: ir.HalfType(), dtypes.bfloat16: ir.IntType(16), dtypes.float32: ir.FloatType(), dtypes.int8: ir.IntType(8), dtypes.uint8: ir.IntType(8), dtypes.bool: ir.IntType(1), dtypes.int64: ir.IntType(64), dtypes.int32: ir.IntType(32), dtypes._arg_int32: ir.IntType(32), dtypes.int16: ir.IntType(16), dtypes.uint16: ir.IntType(16), dtypes.uint32: ir.IntType(32), dtypes.uint64: ir.IntType(64), }
[docs] def cast(bb, val, input_type, output_type): """ Cast a value from one type to another. Attributes: bb (ir.BasicBlock): The basic block where the operation will be added. val (ir.Value): The value to cast. input_type (dtypes.*): The current data type of the value. output_type (dtypes.*): The desired data type after casting. Returns: ir.Value: The casted value with the new data type. Raises: NotImplementedError: If the cast from input_type to output_type is not implemented. """ if input_type == output_type: return val if dtypes.is_float(input_type): if dtypes.is_float(output_type): if output_type.itemsize > input_type.itemsize: return bb[-1].fpext(val, dtype_to_llvm_dtype[output_type]) return bb[-1].fptrunc(val, dtype_to_llvm_dtype[output_type]) if dtypes.is_int(output_type): if dtypes.is_unsigned(output_type): return bb[-1].fptoui(val, dtype_to_llvm_dtype[output_type]) return bb[-1].fptosi(val, dtype_to_llvm_dtype[output_type]) if output_type == dtypes.bool: return bb[-1].fcmp_unordered( "!=", cast(bb, val, input_type, dtypes.float32), ir.Constant(ir.FloatType(), 0), ) if dtypes.is_unsigned(input_type) or input_type == dtypes.bool: if output_type == dtypes.float16: val = bb[-1].uitofp(val, ir.FloatType()) return bb[-1].fptrunc(val, ir.HalfType()) if dtypes.is_float(output_type): return bb[-1].uitofp(val, dtype_to_llvm_dtype[output_type]) if dtypes.is_int(output_type): if input_type.itemsize > output_type.itemsize: return bb[-1].trunc(val, dtype_to_llvm_dtype[output_type]) return bb[-1].zext(val, dtype_to_llvm_dtype[output_type]) if output_type == dtypes.bool: return bb[-1].icmp_unsigned("!=", val, ir.Constant(val.type, 0)) if dtypes.is_int(input_type): if output_type == dtypes.float16: val = bb[-1].sitofp(val, ir.FloatType()) return bb[-1].fptrunc(val, ir.HalfType()) if dtypes.is_float(output_type): return bb[-1].sitofp(val, dtype_to_llvm_dtype[output_type]) if dtypes.is_int(output_type): if input_type.itemsize > output_type.itemsize: return bb[-1].trunc(val, dtype_to_llvm_dtype[output_type]) return bb[-1].sext(val, dtype_to_llvm_dtype[output_type]) if output_type == dtypes.bool: return bb[-1].icmp_signed("!=", val, ir.Constant(val.type, 0)) raise NotImplementedError( f"cast from {input_type} -> {output_type} not implemented" )
[docs] def const(args, dtype): """ Create a constant value based on the given arguments and data type. Attributes: args (any): The input argument to be converted into a constant. Can be of any type. dtype (str): The data type of the constant. Must be one of the supported dtypes. Returns: ir.Constant: A constant object with the specified value and data type. """ return ir.Constant( dtype_to_llvm_dtype[dtype], int(args) if dtypes.is_int(dtype) else bool(args) if dtype == dtypes.bool else args, )
[docs] def uops_to_llvm_ir(function_name: str, uops: List[UOp]) -> Tuple[str, Dict]: """ Convert a list of uops to an LLVM IR module. Creates an LLVM module containing the specified function, which is populated with the provided uops. The function's arguments are determined by global buffers defined in the uops. :param function_name: Name for the LLVM function. :type function_name: str :param uops: List of UOp objects to be converted to LLVM IR. :type uops: List[UOp] :return: A tuple containing the generated LLVM IR module as a string, and a dictionary mapping buffer names to their data types. :rtype: Tuple[str, Dict] Attributes: module (ir.Module): LLVM module object. buf_to_dtype (Dict[str, dtype]): Dictionary mapping global buffer names to their corresponding data types. buf_index (Dict[str, int]): Dictionary mapping global buffer names to their indices. func_dtypes (List[Tuple[ir.Type, dtype]]): List of tuples containing LLVM type objects and their corresponding data types. func (ir.Function): LLVM function object. """ # all llvm stuff goes into a module module = ir.Module(name=__file__) # extract global buffers buf_to_dtype = {u.arg[0]: u.arg[1] for u in uops if u.uop == UOps.DEFINE_GLOBAL} buf_index = {x: i for i, x in enumerate(buf_to_dtype.keys())} # create llvm function func_dtypes = [ (dtype_to_llvm_dtype[dtype], dtype) for dtype in buf_to_dtype.values() ] func = ir.Function( module, ir.FunctionType( ir.VoidType(), [x.as_pointer() if dt != dtypes._arg_int32 else x for x, dt in func_dtypes], ), name=function_name, ) for a in func.args: if a.type.is_pointer: a.add_attribute("noalias") # add the function attribute "no-nans-fp-math"="true", which informs llvm that it allowed to use vectorization optimizations func.attributes._known = func.attributes._known.union( frozenset(['"no-nans-fp-math"="true"']) ) func.attributes.add('"no-nans-fp-math"="true"') bb = [ir.IRBuilder(func.append_basic_block("entry"))] loop_blocks: List = [] reduce_phis: List = [] # TODO: newvar probably shouldn't be optional lvars: Dict[Optional[UOp], Any] = {} # this Any is an llvm type for bufname, dtype in buf_to_dtype.items(): if dtype == dtypes._arg_int32: lvars[bufname] = bb[-1].sext(func.args[buf_index[bufname]], ir.IntType(32)) for u in uops: uop, dtype, vin, args = u.uop, u.dtype, u.vin, u.arg if uop == UOps.LOOP: bb.append( ir.IRBuilder(func.append_basic_block(f"loop_body_{len(loop_blocks)}")) ) bb[-2].branch(bb[-1]._block) phis = [] for rp in reduce_phis: incoming = lvars[rp] lvars[rp] = bb[-1].phi(dtype_to_llvm_dtype[rp.dtype]) lvars[rp].add_incoming(incoming, bb[-2]._block) phis.append((rp, lvars[rp])) lvars[u] = bb[-1].phi(ir.IntType(32), name=f"loop{len(loop_blocks)}") lvars[u].add_incoming(lvars[vin[0]], bb[-2]._block) loop_blocks.append((bb[-1], phis)) if uop == UOps.END: block, phis = loop_blocks.pop() idx_p1 = bb[-1].add(lvars[vin[0]], ir.Constant(ir.IntType(32), 1)) lvars[vin[0]].add_incoming(idx_p1, bb[-1]._block) for n, phi in phis: phi.add_incoming(lvars[n], bb[-1]._block) bb.append( ir.IRBuilder(func.append_basic_block(f"loop_exit_{len(loop_blocks)}")) ) bb[-2].cbranch( bb[-2].icmp_unsigned("<", idx_p1, lvars[vin[0].vin[1]]), block._block, bb[-1]._block, ) if uop == UOps.DEFINE_GLOBAL: lvars[u] = func.args[buf_index[args[0]]] if uop == UOps.DEFINE_ACC: lvars[u] = const(args, dtype) reduce_phis.append(u) if uop == UOps.SPECIAL: lvars[u] = lvars[args.expr] if uop == UOps.CONST: lvars[u] = const(args, dtype) if uop == UOps.LOAD: assert dtype is not None if len(vin) > 2: gate = bb[-1].trunc(lvars[vin[2]], ir.IntType(1)) aug_idx = bb[-1].select( gate, lvars[vin[1]], ir.Constant(ir.IntType(32), 0) ) val = bb[-1].load(bb[-1].gep(lvars[vin[0]], [aug_idx], inbounds=True)) val = cast(bb, val, vin[0].dtype, dtype) val = bb[-1].select(gate, val, lvars[vin[3]]) else: val = bb[-1].load( bb[-1].gep(lvars[vin[0]], [lvars[vin[1]]], inbounds=True) ) val = cast(bb, val, vin[0].dtype, dtype) lvars[u] = val if uop == UOps.PHI: lvars[u] = lvars[vin[1]] # PHI UOps can link to other PHI Uops, backtrace this to DEFINE_ACC backward = vin[0] while backward.uop == UOps.PHI: backward = backward.vin[0] lvars[backward] = lvars[u] if uop == UOps.STORE: element = cast(bb, lvars[vin[2]], vin[2].dtype, vin[0].dtype) def store_op(): bb[-1].store( element, bb[-1].gep(lvars[vin[0]], [lvars[vin[1]]], inbounds=True) ) if len(vin) > 3: with bb[-1].if_then(bb[-1].trunc(lvars[vin[3]], ir.IntType(1))): store_op() else: store_op() if uop == UOps.ALU: lvars[u] = code_for_op[args](bb[-1], *[lvars[x] for x in vin]) if uop == UOps.CAST: lvars[u] = cast(bb, lvars[vin[0]], vin[0].dtype, dtype) bb[-1].ret_void() return str(module), {}