|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
from typing import List |
|
|
|
|
|
import torch |
|
|
from torch.fx import GraphModule |
|
|
|
|
|
from ..util import get_deepcompile_handle |
|
|
from ..fx import add_postprocess, move_primals_to_head, _make_node_meta |
|
|
|
|
|
NAME = "zero1_compile" |
|
|
|
|
|
|
|
|
def add_z1_reduce_fw(gm: GraphModule, graph_id: int, profiling_results, param_manager) -> GraphModule: |
|
|
|
|
|
dc = get_deepcompile_handle() |
|
|
param_indices = profiling_results[graph_id].param_indices |
|
|
dc.register_graph_z1(graph_id, [v[1] for v in param_indices]) |
|
|
|
|
|
return gm |
|
|
|
|
|
|
|
|
def add_z1_reduce_bw(gm: GraphModule, graph_id: int, param_manager) -> GraphModule: |
|
|
|
|
|
graph = gm.graph |
|
|
pm = param_manager[graph_id] |
|
|
_, param_name_to_grad = pm.get_bwd_mapping(graph) |
|
|
|
|
|
for param_name in pm.param_names: |
|
|
|
|
|
grad_node = param_name_to_grad[param_name] |
|
|
|
|
|
assert param_name in pm.ds_ids, f"param_name={param_name} not in ds_ids" |
|
|
ds_id = pm.ds_ids[param_name] |
|
|
|
|
|
new_node = add_postprocess(graph, |
|
|
grad_node, |
|
|
torch.ops.dc.reduce_grad.default, |
|
|
extra_args=[graph_id, ds_id], |
|
|
name=f"reduce_param_{param_name}", |
|
|
meta=_make_node_meta(grad_node, param_name, True)) |
|
|
new_node.meta["val"] = None |
|
|
|
|
|
gm.graph = move_primals_to_head(graph) |
|
|
return gm |
|
|
|
|
|
|
|
|
def add_z1_reduce(gm: GraphModule, graph_id: int, graph_order: List[int], profiling_results, create_inputs_fn, |
|
|
mem_budget: float, param_manager, bwd: bool) -> GraphModule: |
|
|
if bwd: |
|
|
return add_z1_reduce_bw(gm, graph_id, param_manager) |
|
|
return add_z1_reduce_fw(gm, graph_id, profiling_results, param_manager) |
|
|
|
