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apache--tvm/python/tvm/backend/trn/transform/naive_allocator.py
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chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

100 lines
3.5 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.
import functools
from tvm.tirx import AllocBuffer, IntImm
from tvm.tirx.buffer import Buffer
from tvm.tirx.stmt_functor import StmtVisitor
from tvm.tirx.transform.common import BufferReplacer
from tvm.tirx.transform.function_pass import prim_func_pass
def is_const_shape(buffer: Buffer) -> bool:
for i in buffer.shape:
if not isinstance(i, IntImm):
return False
return True
def get_buffer_size(buffer: Buffer) -> int:
if buffer.scope() == "trn.sbuf":
if buffer.layout is None:
# the first dimension is partition size
num_elem = functools.reduce(lambda x, y: x * y, buffer.shape[1:])
else:
par_size = buffer.layout.size("P")
num_elem = functools.reduce(lambda x, y: x * y, buffer.shape) // par_size
elif buffer.scope().startswith("shared"):
num_elem = functools.reduce(lambda x, y: x * y, buffer.shape)
else:
return None
if not is_const_shape(buffer):
raise ValueError(
f"Buffer {buffer.name} has non-constant shape. Do not know how to allocate it."
)
return int(num_elem * buffer.dtype.dtype.itemsize)
class AllocInfoCollector(StmtVisitor):
def __init__(self):
super().__init__()
self.alloc_pool_start = 0
def visit_alloc_buffer_(self, op: AllocBuffer):
super().visit_alloc_buffer_(op)
buffer = op.buffer
if len(buffer.allocated_addr) == 0:
return op
buffer_size = get_buffer_size(buffer)
if buffer_size is None:
return op
self.alloc_pool_start = max(self.alloc_pool_start, buffer.allocated_addr[-1] + buffer_size)
class AllocMutator(BufferReplacer):
def __init__(self, alloc_pool_start: int):
super().__init__()
self.alloc_offset = alloc_pool_start
def visit_alloc_buffer_(self, op: AllocBuffer):
changed = False
buffer = op.buffer
buffer_size = get_buffer_size(buffer)
if len(buffer.allocated_addr) > 0 or buffer_size is None:
pass
else:
new_buffer = buffer.with_allocated_addr([self.alloc_offset])
self.buffer_map[buffer] = new_buffer
changed = True
self.alloc_offset += buffer_size
op = super().visit_alloc_buffer_(op)
if changed:
return AllocBuffer(new_buffer, op.annotations, op.span)
return op
@prim_func_pass(opt_level=0, name="TrnNaiveAllocator")
class TrnNaiveAllocator:
def transform_function(self, func, mod, ctx):
collector = AllocInfoCollector()
collector(func.body)
mutator = AllocMutator(collector.alloc_pool_start)
new_body = mutator(func.body)
return func.with_body(new_body)