mirror of https://github.com/hpcaitech/ColossalAI
230 lines
6.2 KiB
Python
230 lines
6.2 KiB
Python
class Chain:
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def __init__(self, fw, bw, cw, cbw, ftmp, btmp, check=True):
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self.fweight = fw
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self.bweight = bw
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self.cweight = cw
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self.cbweight = cbw
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self.fwd_tmp = ftmp
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self.bwd_tmp = btmp
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self.length = len(fw)
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if check and not self.check_lengths():
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raise AttributeError("In Chain, input lists do not have consistent lengths")
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def check_lengths(self):
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return ((len(self.fweight) == self.length) and (len(self.bweight) == self.length + 1)
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and (len(self.cweight) == self.length + 1) and (len(self.fwd_tmp) == self.length)
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and (len(self.bwd_tmp) == self.length + 1) and (len(self.cbweight) == self.length + 1))
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def __repr__(self):
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chain_list = []
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for i in range(self.length):
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chain_list.append(
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(self.fweight[i], self.bweight[i], self.cweight[i], self.cbweight[i], self.fwd_tmp[i], self.bwd_tmp[i]))
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i = self.length
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chain_list.append((None, self.bweight[i], self.cweight[i], self.cbweight[i], None, self.bwd_tmp[i]))
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return chain_list.__repr__()
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class Operation:
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def shift(self, value):
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if type(self.index) is tuple:
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self.index = tuple(x + value for x in self.index)
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else:
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self.index += value
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class Forward(Operation):
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def __init__(self, index):
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self.index = index
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self.name = "F"
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def __repr__(self):
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return "{n}_{i}".format(n=self.name, i=self.index)
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def cost(self, chain: Chain):
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if chain is not None:
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return chain.fweight[self.index]
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else:
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return 1
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class ForwardEnable(Forward):
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def __init__(self, index):
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super().__init__(index)
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self.name = "Fe"
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class ForwardNograd(Forward):
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def __init__(self, index):
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super().__init__(index)
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self.name = "Fn"
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class ForwardCheck(Forward):
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def __init__(self, index):
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super().__init__(index)
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self.name = "CF"
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class Forwards(Operation):
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def __init__(self, start, end):
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self.index = (start, end)
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def __repr__(self):
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return "F_{i}->{j}".format(i=self.index[0], j=self.index[1])
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def cost(self, chain: Chain):
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if chain is not None:
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return sum(chain.fweight[self.index[0]:self.index[1] + 1])
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else:
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return (self.index[1] - self.index[0] + 1)
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def isForward(op):
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return type(op) is Forward or type(op) is Forwards
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class Backward(Operation):
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def __init__(self, index):
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self.index = index
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def __repr__(self):
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return "B_{i}".format(i=self.index)
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def cost(self, chain: Chain):
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if chain is not None:
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return chain.bweight[self.index]
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else:
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return 1
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class Loss(Operation):
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def __init__(self):
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pass
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def __repr__(self):
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return "L"
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def cost(self, chain):
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return 0
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class MemoryAccess(Operation):
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def __init__(self, index):
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self.index = index
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def __repr__(self):
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return "{n}_{i}".format(n=self.name, i=self.index)
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def cost(self, chain: Chain):
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return 0
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class WriteMemory(MemoryAccess):
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def __init__(self, index):
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super().__init__(index)
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self.name = "WM"
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class ReadMemory(MemoryAccess):
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def __init__(self, index):
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super().__init__(index)
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self.name = "RM"
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class DiscardMemory(MemoryAccess):
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def __init__(self, index):
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super().__init__(index)
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self.name = "DM"
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class Function:
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def __init__(self, name, *args):
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self.name = name
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self.args = args
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self.str_args = ','.join(str(v) for v in self.args)
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def __repr__(self):
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return "{n}({args})".format(n=self.name, args=self.str_args)
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class Sequence:
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def __init__(self, function):
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self.sequence = [] #List of Operation and Sequence
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self.function = function #Description the function (name and parameters)
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def __repr__(self):
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return repr(self.list_operations())
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def list_operations(self):
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op_list = []
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for x in self.sequence:
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if isinstance(x, Operation):
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op_list.append(x)
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else:
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assert isinstance(x, Sequence)
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op_list += x.list_operations()
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return op_list
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def insert(self, operation):
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self.sequence.append(operation)
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def remove(self, operation_index):
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del self.sequence[operation_index]
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def insert_sequence(self, sequence):
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self.sequence.append(sequence)
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def shift(self, value):
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for x in self.sequence:
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x.shift(value)
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return self
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def remove_useless_write(self):
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if self.sequence:
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if isinstance(self.sequence[0], WriteMemory):
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self.remove(0)
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return self
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def get_makespan(self, chain):
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return sum(op.cost(chain) for op in self.list_operations())
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def without_suffix(self):
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ops = self.list_operations()
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end_of_first_phase = [i for i in range(len(ops)) if type(ops[i]) is Loss][0]
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try:
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last_idx = max(i for i in range(end_of_first_phase) if not type(ops[i]) is ForwardEnable)
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except ValueError:
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last_idx = -1
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if last_idx == end_of_first_phase - 1:
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return (self, None)
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chain_length = ops[end_of_first_phase -
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1].index ## Some assumption here about the sequence (finishes with Forward_L
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start_of_fwd_enable_chain = ops[last_idx + 1].index ## And starts with B_L), but should be fine in practice
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result = Sequence(Function("Strip", self.function.name, *self.function.args, start_of_fwd_enable_chain))
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for i in range(last_idx + 1):
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result.insert(ops[i])
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result.insert(Loss())
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for i in range(chain_length, start_of_fwd_enable_chain - 1, -1):
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position = end_of_first_phase + 1 + (chain_length - i)
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assert type(ops[position]) is Backward
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assert ops[position].index == i
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for i in range(end_of_first_phase + 1 + 1 + chain_length - start_of_fwd_enable_chain, len(ops)):
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result.insert(ops[i])
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return (result, start_of_fwd_enable_chain)
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