remove importing _selected_ops from model_zoo

This commit is contained in:
dayschan 2020-09-18 12:05:57 +08:00
parent c71a92da41
commit 59d9f8bf6a
3 changed files with 3 additions and 6 deletions

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@ -14,7 +14,6 @@
# ============================================================================
"""THOR"""
from mindspore.ops import functional as F, composite as C, operations as P
from mindspore.ops import _selected_ops
from mindspore.common.initializer import initializer
from mindspore.common.parameter import Parameter, ParameterTuple
from mindspore.common.tensor import Tensor
@ -62,7 +61,7 @@ class THOR_GPU(Optimizer):
self.use_nesterov = check_bool(use_nesterov)
self.moments = self.params.clone(prefix="moments", init='zeros')
self.hyper_map = C.HyperMap()
self.opt = _selected_ops.ApplyMomentum(use_nesterov=self.use_nesterov)
self.opt = P.ApplyMomentum(use_nesterov=self.use_nesterov)
self.feature_map = [1.0 / 12544, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136,
1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136,

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@ -27,7 +27,6 @@ from mindspore.nn.wrap.grad_reducer import DistributedGradReducer
from mindspore.context import ParallelMode
from mindspore.communication.management import get_group_size
from mindspore import context
from mindspore.ops import _selected_ops
from .bert_model import BertModel
from .utils import ClipByGlobalNorm
@ -132,7 +131,7 @@ class GetNextSentenceOutput(nn.Cell):
"""
def __init__(self, config):
super(GetNextSentenceOutput, self).__init__()
self.log_softmax = _selected_ops.LogSoftmax()
self.log_softmax = P.LogSoftmax()
weight_init = TruncatedNormal(config.initializer_range)
self.dense = nn.Dense(config.hidden_size, 2,
weight_init=weight_init, has_bias=True).to_float(config.compute_type)

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@ -23,7 +23,6 @@ from mindspore.common.parameter import Parameter
from mindspore.common.tensor import Tensor
from mindspore.communication.management import get_group_size
from mindspore.nn.wrap.grad_reducer import DistributedGradReducer
from mindspore.ops import _selected_ops
from mindspore.ops import composite as C
from mindspore.ops import functional as F
from mindspore.ops import operations as P
@ -147,7 +146,7 @@ class GetNextSentenceOutput(nn.Cell):
def __init__(self, config):
super(GetNextSentenceOutput, self).__init__()
self.log_softmax = _selected_ops.LogSoftmax()
self.log_softmax = P.LogSoftmax()
weight_init = TruncatedNormal(config.initializer_range)
self.dense = nn.Dense(config.hidden_size, 2,
weight_init=weight_init, has_bias=True).to_float(config.compute_type)