mirror of https://github.com/hpcaitech/ColossalAI
support ones_like, add prompt if fit mode search fail
parent
80efd70c72
commit
5f24f4fd55
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@ -1406,9 +1406,9 @@ class MemoryEstimator(object):
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# self._print_mem_log(act_memory_peak_log, node_list, "peak")
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# self._print_mem_log(act_memory_after_node_log, node_list, "after")
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self._print_compute_op_mem_log(act_memory_peak_log, node_list, "peak")
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self._print_compute_op_mem_log(
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act_memory_after_node_log, node_list, "after"
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)
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# self._print_compute_op_mem_log(
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# act_memory_after_node_log, node_list, "after"
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# )
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# param_memory = parameter_size(gm)
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# all_memory = act_memory + param_memory
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@ -1465,6 +1465,9 @@ class ChunkSelector(object):
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if i in possible_chunk_regions:
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possible_chunk_regions.remove(i)
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if len(possible_chunk_regions) == 0:
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return None
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# get mem for chunk region
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regions_dict = []
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for region in possible_chunk_regions:
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@ -1492,7 +1495,7 @@ class ChunkSelector(object):
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)
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# no region found
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if len(regions_dict) == 0:
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return None
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raise RuntimeError("Search failed. Try a larger memory threshold.")
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# select the min chunk len
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chunk_len = [i["chunk_len"] for i in regions_dict]
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@ -1995,6 +1998,14 @@ def emit_code_with_chunk(
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body[-1] = _replace_name(
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body[-1], input_node.name, input_node.name + chunk_slice
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)
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# ones like
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if "ones_like" in node.name:
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chunk_slice = _gen_chunk_slice_dim(
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chunk_search[region_idx]["node_chunk_dim"][chunk_region_search.index_tracer.node_list[node_idx]]["chunk_dim"], "chunk_idx", _get_node_shape(node)
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)
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body[-1] = _replace_name(
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body[-1], node.args[0].name, node.args[0].name + chunk_slice
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)
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body[-1] = _replace_reshape_size(
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body[-1], node.name, chunk_search[region_idx]["reshape_size"]
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)
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