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[fx] add balanced policy v2 (#1251)
* [CLI] add CLI launcher
* Revert "[CLI] add CLI launcher"
This reverts commit df7e6506d4
.
* [fx] add balanced policy v2
* add unittest
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@@ -10,7 +10,9 @@ def pipe_split():
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def balanced_split_pass(gm: torch.fx.GraphModule, pp_size: int):
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# TODO(lyl): balanced policy V2, split module by node size(weight+bias+output)
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"""
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In balanced_split_pass, we split module by the size of parameters(weights+bias).
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"""
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mod_graph = gm.graph
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total_param_amount = 0
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for param in mod_graph.owning_module.parameters():
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@@ -39,6 +41,36 @@ def balanced_split_pass(gm: torch.fx.GraphModule, pp_size: int):
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return gm
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def balanced_split_pass_v2(gm: torch.fx.GraphModule, pp_size: int):
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"""
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In balanced_split_pass_v12, we split module by the size of nodes(weights+bias+outputs).
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"""
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mod_graph = gm.graph
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# To use balanced_split_pass_v2, we need run meta_info_prop interpreter first.
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# If nodes don't have meta info, this pass will fall back to normal balanced split pass.
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check_node = list(mod_graph.nodes)[0]
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if 'tensor_meta' not in check_node.meta:
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return balanced_split_pass(gm, pp_size)
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total_element_size = 0
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for node in mod_graph.nodes:
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total_element_size += node.node_size
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partition_size = total_element_size // pp_size
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accumulate_node_size = 0
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for node in mod_graph.nodes:
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if pp_size <= 1:
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break
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accumulate_node_size += node.node_size
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if accumulate_node_size >= partition_size:
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accumulate_node_size = 0
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pp_size -= 1
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with mod_graph.inserting_after(node):
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split_node = mod_graph.create_node('call_function', pipe_split)
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gm.recompile()
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return gm
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def uniform_split_pass(gm: torch.fx.GraphModule, pp_size: int):
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mod_graph = gm.graph
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valid_children_size = 0
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