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!17881 Substitute internal api used in CRNN 

From: @c_34
Reviewed-by: @wuxuejian,@guoqi1024
Signed-off-by: @wuxuejian,@guoqi1024
This commit is contained in:
mindspore-ci-bot 2021-06-07 16:34:32 +08:00 committed by Gitee
parent e07c12a45e 67cbab3066
commit 5358d44888
1 changed files with 3 additions and 6 deletions
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9
model_zoo/official/cv/crnn/src/crnn_for_train.py
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@ -14,8 +14,7 @@
# ============================================================================
"""Automatic differentiation with grad clip."""
import numpy as np
from mindspore.parallel._utils import (_get_device_num, _get_gradients_mean,
_get_parallel_mode)
from mindspore import context
from mindspore.context import ParallelMode
from mindspore.common import dtype as mstype
from mindspore.ops import composite as C
@ -89,13 +88,11 @@ class TrainOneStepCellWithGradClip(Cell):
self.cast = P.Cast()
self.concat = P.Concat(axis=0)
self.ten = Tensor(np.array([10.0]).astype(np.float32))
parallel_mode = _get_parallel_mode()
parallel_mode = context.get_auto_parallel_context("parallel_mode")
if parallel_mode in (ParallelMode.DATA_PARALLEL, ParallelMode.HYBRID_PARALLEL):
self.reducer_flag = True
if self.reducer_flag:
mean = _get_gradients_mean()
degree = _get_device_num()
self.grad_reducer = DistributedGradReducer(optimizer.parameters, mean, degree)
self.grad_reducer = DistributedGradReducer(optimizer.parameters)
def construct(self, data, label):
weights = self.weights