forked from huawei/mindspore2022
fix performance of bert
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63479f8e7c
commit
04bc2a938e
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@ -686,7 +686,7 @@ bool IsSameNode(const EquivPtr &equiv1, const EquivPtr &equiv2, const VarPtr &va
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MS_EXCEPTION_IF_NULL(equiv1_node);
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MS_EXCEPTION_IF_NULL(equiv1_node);
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auto equiv2_node = GetAnfNodeByVar(equiv2, var_node);
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auto equiv2_node = GetAnfNodeByVar(equiv2, var_node);
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MS_EXCEPTION_IF_NULL(equiv2_node);
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MS_EXCEPTION_IF_NULL(equiv2_node);
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return equiv1_node == equiv2_node;
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return *equiv1_node == *equiv2_node;
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}
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}
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AnfNodePtr GetAnfNodeByVar(const EquivPtr &equiv, const VarPtr &var_node) {
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AnfNodePtr GetAnfNodeByVar(const EquivPtr &equiv, const VarPtr &var_node) {
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@ -180,7 +180,7 @@ class Lamb(Optimizer):
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beta2=0.999,
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beta2=0.999,
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eps=1e-6,
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eps=1e-6,
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weight_decay=0.0,
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weight_decay=0.0,
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decay_filter=lambda x: 'LayerNorm' not in x.name and 'bias' not in x.name):
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decay_filter=lambda x: 'layernorm' not in x.name.lower() and 'bias' not in x.name.lower()):
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super(Lamb, self).__init__(start_learning_rate, params)
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super(Lamb, self).__init__(start_learning_rate, params)
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if self.is_group:
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if self.is_group:
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@ -191,8 +191,8 @@ def get_bprop_mul(self):
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mul_func = P.Mul()
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mul_func = P.Mul()
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def bprop(x, y, out, dout):
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def bprop(x, y, out, dout):
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bc_dx = mul_func(dout, y)
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bc_dx = mul_func(y, dout)
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bc_dy = mul_func(dout, x)
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bc_dy = mul_func(x, dout)
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return binop_grad_common(x, y, bc_dx, bc_dy)
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return binop_grad_common(x, y, bc_dx, bc_dy)
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return bprop
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return bprop
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