huajsj commented on code in PR #11334:
URL: https://github.com/apache/tvm/pull/11334#discussion_r875538130
##########
tests/python/relay/test_pipeline_executor.py:
##########
@@ -22,12 +22,193 @@
import tvm
import tvm.testing
from tvm import relay
-from tvm.relay import transform
+from tvm.relay import transform, build_module
+from tvm.relay.testing import run_opt_pass
from tvm.contrib import graph_executor, pipeline_executor,
pipeline_executor_build
from tvm._ffi import get_global_func
from tvm.contrib import cc as _cc
+"""Splitting graph into a list of subgraph"""
+
+
+def graph_split(expr, split_conf, params=None):
+ def get_dep_var(sub_var_dep):
+ return [var for var, _ in sub_var_dep[len(sub_var_dep) -
1]["ref_nodes"].items()]
+
+ def parse_dependency(value, snode_dep, new_input_idx):
+ new_args = []
+ need_update = False
+ for var in value.args:
+ is_free_var = False
+ for i in range(0, len(snode_dep) - 1):
+ dep = snode_dep[i]
+ if var in dep["nodes"]:
+ # Mark the previous subgraph node as a dependency.
+ dep["nodes"][var] = dep["nodes"][var] + 1
+ dep["ref_nodes"][var] = dep["nodes"][var]
+ # The var of this call is a free_var
+ is_free_var = True
+ # if the var of this call is free_var, recreate it and give it a
fixed input name.
+ if is_free_var:
+ need_update = True
+ new_args.append(relay.var(f"data_n_{new_input_idx}",
var.checked_type))
+ new_input_idx = new_input_idx + 1
+ else:
+ new_args.append(var)
+ # if the call have a free_var, recreate it.
+ if need_update:
+ value = tvm.relay.expr.Call(
+ value.op, new_args, value.attrs, value.type_args, value.span
+ )
+ return value, snode_dep, new_input_idx
+
+ def merge_constant_expr(constant_expr, expr):
+ # merge constant express with a express
+ if not isinstance(constant_expr.body, tvm.relay.expr.Let):
+ return tvm.relay.expr.Let(constant_expr.var, constant_expr.value,
expr)
+
+ return tvm.relay.expr.Let(
+ constant_expr.var, constant_expr.value,
merge_constant_expr(constant_expr.body, expr)
+ )
+
+ def _recursion(anf, pipeline_mods, split_conf, constant_expr):
+ # Enumrate all operators of compute graph, then split the compute
graph into a group of
+ # subgraph.
+ nonlocal operator_index_map
+ nonlocal new_input_idx
+ nonlocal snode_dep
+ cur_node_dep = snode_dep[len(snode_dep) - 1]
+ if isinstance(anf, tvm.relay.Function):
+ return tvm.relay.Function(
+ anf.params,
+ _recursion(anf.body, pipeline_mods, split_conf, constant_expr),
+ anf.ret_type,
+ anf.type_params,
+ anf.attrs,
+ )
+ if isinstance(anf, tvm.relay.expr.Let):
+ value = anf.value
+ # record the constant expr to make sure all sugraph can find
correct constant.
+ if isinstance(value, tvm.relay.expr.Constant):
+ if not constant_expr:
+ constant_expr = tvm.relay.expr.Let(anf.var, value, anf.var)
+ else:
+ constant_expr = tvm.relay.expr.Let(anf.var, value,
constant_expr)
+ if isinstance(value, tvm.relay.expr.Call):
+ new_args = []
+ # build current var list
+ cur_node_dep["nodes"][anf.var] = 0
+ # Get the dependency information of the nodes.
+ value, snode_dep, new_input_idx = parse_dependency(value,
snode_dep, new_input_idx)
+ if isinstance(value.op, tvm.ir.Op):
+ if value.op.name in operator_index_map:
+ operator_index_map[value.op.name] =
operator_index_map[value.op.name] + 1
Review Comment:
this not work with some python version, to compatible with old version still
keep it.
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