remove autochunk_available

colossalai/autochunk/autochunk_codegen.py

@@ -16,13 +16,9 @@ from torch.fx.graph import (
 from torch.fx.node import Argument, Node, _get_qualified_name, _type_repr, map_arg
 
 import colossalai
-
 from .search_chunk import SearchChunk
 from .utils import delete_free_var_from_last_use, find_idx_by_name, get_node_shape
 
-CODEGEN_AVAILABLE = True
-__all__ = ["AutoChunkCodeGen"]
-
 
 def _gen_chunk_slice_dim(chunk_dim, chunk_idx_name, shape):
     new_shape = "["
@@ -222,9 +218,7 @@ def emit_code_with_chunk(
         node_idx += 1
 
 
-if CODEGEN_AVAILABLE:
-
-    class AutoChunkCodeGen(CodeGen):
+class AutoChunkCodeGen(CodeGen):
     def __init__(self, meta_graph, max_memory=None, print_mem=False):
         super().__init__()
         self.meta_graph = meta_graph
@@ -271,9 +265,7 @@ if CODEGEN_AVAILABLE:
             return global_name
 
         # set _custom_builtins here so that we needn't import colossalai in forward
-            _custom_builtins["colossalai"] = _CustomBuiltin(
-                "import colossalai", colossalai
-            )
+        _custom_builtins["colossalai"] = _CustomBuiltin("import colossalai", colossalai)
 
         # Pre-fill the globals table with registered builtins.
         for name, (_, obj) in _custom_builtins.items():
@@ -373,9 +365,7 @@ if CODEGEN_AVAILABLE:
             )
             if node.op == "placeholder":
                 assert isinstance(node.target, str)
-                    maybe_default_arg = (
-                        "" if not node.args else f" = {repr(node.args[0])}"
-                    )
+                maybe_default_arg = "" if not node.args else f" = {repr(node.args[0])}"
                 free_vars.append(
                     f"{node.target}{maybe_type_annotation}{maybe_default_arg}"
                 )
@@ -479,9 +469,7 @@ if CODEGEN_AVAILABLE:
 
         if len(wrapped_fns) > 0:
             wrap_name = add_global("wrap", torch.fx.wrap)
-                wrap_stmts = "\n".join(
-                    [f'{wrap_name}("{name}")' for name in wrapped_fns]
-                )
+            wrap_stmts = "\n".join([f'{wrap_name}("{name}")' for name in wrapped_fns])
         else:
             wrap_stmts = ""