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chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

66 lines
2.5 KiB
Python

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# pylint: disable=invalid-name, unused-argument, redefined-argument-from-local
"""Relax Use Fast Math pass."""
import tvm
from tvm import topi
from tvm.ir.module import IRModule
from tvm.relax import Call, Expr, PyExprMutator, expr_functor
@expr_functor.mutator
class FastMathCodeGenerator(PyExprMutator):
"""
Converts the expensive non linear functions to their fast but approximate counterparts.
Parameters
----------
mod: IRModule
The module to be transformed
"""
def __init__(self, mod):
super().__init__(mod)
def visit_call_(self, call: Call) -> Expr:
if call.op.name == "relax.nn.softmax":
return self.builder_.call_te(topi.nn.fast_softmax, call.args[0], call.attrs.axis)
if call.op.name == "relax.exp":
return self.builder_.call_te(topi.fast_exp, call.args[0])
if call.op.name == "relax.erf":
return self.builder_.call_te(topi.fast_erf, call.args[0])
if call.op.name == "relax.tanh":
return self.builder_.call_te(topi.fast_tanh, call.args[0])
return super().visit_call_(call)
@tvm.transform.module_pass(opt_level=0, name="FastMathTransform")
class FastMathTransform:
"""
Pass to convert the expensive non linear functions to their fast but approximate counterparts.
"""
def transform_module(self, mod: IRModule, ctx: tvm.transform.PassContext) -> IRModule:
fast_math_codegen = FastMathCodeGenerator(mod)
for gv, func in mod.functions_items():
if isinstance(func, tvm.relax.Function):
func = fast_math_codegen.visit_expr(func)
fast_math_codegen.builder_.update_func(gv, func)
return fast_math_codegen.builder_.get()