mirror of https://github.com/hpcaitech/ColossalAI
seperate reorder
parent
6685a9d022
commit
c3d72f7db9
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@ -103,7 +103,7 @@ def emit_code_with_chunk(
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nodes,
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emit_node_func,
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delete_unused_value_func,
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chunk_region_search,
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chunk_region_search: ChunkRegionSearch,
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chunk_infos,
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):
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"""Emit code with nested activation checkpoint
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@ -133,7 +133,7 @@ def emit_code_with_chunk(
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chunk_outputs = [i["outputs"][0] for i in chunk_infos]
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chunk_outputs_dim = [i["outputs_dim"] for i in chunk_infos]
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node_list = chunk_region_search.index_tracer.reorder_node_list(node_list)
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node_list = chunk_region_search.reorder_graph.reorder_node_list(node_list)
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node_idx = 0
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region_idx = 0
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within_chunk_region = False
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@ -1,7 +1,7 @@
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import copy
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from .chunk_selector import ChunkSelector
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from .index_tracer import IndexTracer
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from .index_tracer import IndexTracer, ReorderGraph
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from .memory_estiamtor import MemoryEstimator
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from .utils import (
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get_node_shape,
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@ -16,9 +16,10 @@ class ChunkRegionSearch(object):
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self.print_mem = print_mem
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self.index_tracer = IndexTracer(list(gm.graph.nodes))
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self.index_tracer.trace_index()
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self.reorder_graph = ReorderGraph(self.index_tracer)
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self.memory_estimator = MemoryEstimator()
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self.chunk_selector = ChunkSelector(
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self.index_tracer, self.memory_estimator, max_memory=max_memory
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self.index_tracer, self.memory_estimator, self.reorder_graph, max_memory=max_memory
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)
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def _find_peak_node(self, mem_peak):
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@ -175,7 +176,7 @@ class ChunkRegionSearch(object):
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best_chunk_region = self.chunk_selector._select_best_chunk_region(
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possible_chunk_regions, chunk_regions, peak_node, max_chunk_region, mem_peak
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)
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best_chunk_region = self.index_tracer.reorder_all(best_chunk_region)
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best_chunk_region = self.reorder_graph.reorder_all(best_chunk_region)
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return best_chunk_region
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def _stop_search(self, init_mem_peak, mem_peak):
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@ -1,4 +1,4 @@
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from .index_tracer import IndexTracer
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from .index_tracer import IndexTracer, ReorderGraph
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from .memory_estiamtor import MemoryEstimator
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from .utils import is_non_compute_node
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@ -8,10 +8,12 @@ class ChunkSelector(object):
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self,
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index_tracer: IndexTracer,
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memory_estimator: MemoryEstimator,
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reorder_graph: ReorderGraph,
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max_memory=None,
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):
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self.index_tracer = index_tracer
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self.memory_estimator = memory_estimator
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self.reorder_graph = reorder_graph
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if max_memory is not None:
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self.stratge = "fit_memory"
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self.max_memory = max_memory # MB
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@ -64,7 +66,7 @@ class ChunkSelector(object):
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regions_dict = []
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for region in possible_chunk_regions:
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cur_region = region.copy()
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cur_node_list, cur_region = self.index_tracer.tmp_reorder(
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cur_node_list, cur_region = self.reorder_graph.tmp_reorder(
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self.index_tracer.node_list, cur_region
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)
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cur_chunk_infos = chunk_infos + [cur_region]
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@ -174,7 +176,7 @@ class ChunkSelector(object):
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regions_dict = []
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for region in possible_chunk_regions:
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cur_region = region.copy()
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cur_node_list, cur_region = self.index_tracer.tmp_reorder(
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cur_node_list, cur_region = self.reorder_graph.tmp_reorder(
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self.index_tracer.node_list, cur_region
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)
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cur_chunk_infos = chunk_infos + [cur_region]
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@ -17,7 +17,6 @@ class IndexTracer(object):
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self.idx_trace_equal = []
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self.idx_view_list = {}
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self.idx_count = -1
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self.all_reorder_map = {i: i for i in range(len(self.idx_trace_list))}
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def _init_idx_trace_list(self):
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idx_trace_list = []
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@ -981,24 +980,30 @@ class IndexTracer(object):
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chunk_info["reshape_size"] = reshape_size
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return chunk_info
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class ReorderGraph(object):
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def __init__(self, index_tracer: IndexTracer) -> None:
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self.index_tracer = index_tracer
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self.all_reorder_map = {i: i for i in range(len(self.index_tracer.idx_trace_list))}
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def _get_reorder_map(self, chunk_info):
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reorder_map = {i: i for i in range(len(self.node_list))}
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reorder_map = {i: i for i in range(len(self.index_tracer.node_list))}
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chunk_region_start = chunk_info["region"][0]
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chunk_region_end = chunk_info["region"][1]
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chunk_prepose_nodes = chunk_info["args"]["prepose_nodes"]
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chunk_prepose_nodes_idx = [
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find_idx_by_name(i.name, self.node_list) for i in chunk_prepose_nodes
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find_idx_by_name(i.name, self.index_tracer.node_list) for i in chunk_prepose_nodes
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]
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# put prepose nodes ahead
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for idx, n in enumerate(chunk_prepose_nodes):
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n_idx = chunk_prepose_nodes_idx[idx]
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reorder_map[n_idx] = chunk_region_start + idx
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# put other nodes after prepose nodes
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for n in self.node_list[chunk_region_start : chunk_region_end + 1]:
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for n in self.index_tracer.node_list[chunk_region_start : chunk_region_end + 1]:
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if n in chunk_prepose_nodes:
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continue
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n_idx = find_idx_by_name(n.name, self.node_list)
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n_idx = find_idx_by_name(n.name, self.index_tracer.node_list)
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pos = sum([n_idx < i for i in chunk_prepose_nodes_idx])
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reorder_map[n_idx] = n_idx + pos
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@ -1024,25 +1029,25 @@ class IndexTracer(object):
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self.all_reorder_map[origin_idx] = reorder_map[map_idx]
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def _reorder_self_node_list(self, reorder_map):
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new_node_list = [None for _ in range(len(self.node_list))]
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new_node_list = [None for _ in range(len(self.index_tracer.node_list))]
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for old_idx, new_idx in reorder_map.items():
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new_node_list[new_idx] = self.node_list[old_idx]
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self.node_list = new_node_list
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new_node_list[new_idx] = self.index_tracer.node_list[old_idx]
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self.index_tracer.node_list = new_node_list
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def _reorder_idx_trace(self, reorder_map):
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# reorder list
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new_idx_trace_list = [None for _ in range(len(self.idx_trace_list))]
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new_idx_trace_list = [None for _ in range(len(self.index_tracer.idx_trace_list))]
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for old_idx, new_idx in reorder_map.items():
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new_idx_trace_list[new_idx] = self.idx_trace_list[old_idx]
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self.idx_trace_list = new_idx_trace_list
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new_idx_trace_list[new_idx] = self.index_tracer.idx_trace_list[old_idx]
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self.index_tracer.idx_trace_list = new_idx_trace_list
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# update compute
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for idx_trace in self.idx_trace_list:
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for idx_trace in self.index_tracer.idx_trace_list:
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compute = idx_trace["compute"]
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for dim_compute in compute:
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for idx, i in enumerate(dim_compute):
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dim_compute[idx] = reorder_map[i]
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# update source
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for idx_trace in self.idx_trace_list:
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for idx_trace in self.index_tracer.idx_trace_list:
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source = idx_trace["source"]
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for dim_idx, dim_source in enumerate(source):
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new_dim_source = {}
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