From f2230fb070c2e5e1957b514cf4382924b45314b2 Mon Sep 17 00:00:00 2001 From: shijianning Date: Thu, 14 May 2020 16:47:56 +0800 Subject: [PATCH] fix pylint warnings --- example/bert_clue/evaluation.py | 2 ++ example/bert_clue/finetune.py | 2 ++ mindspore/nn/layer/quant.py | 1 + mindspore/ops/operations/nn_ops.py | 2 +- mindspore/train/summary/_event_writer.py | 1 + 5 files changed, 7 insertions(+), 1 deletion(-) diff --git a/example/bert_clue/evaluation.py b/example/bert_clue/evaluation.py index 96e20b1c0df..2d1086236d1 100644 --- a/example/bert_clue/evaluation.py +++ b/example/bert_clue/evaluation.py @@ -82,6 +82,8 @@ def get_dataset(batch_size=1, repeat_count=1, distribute_file=''): ''' get dataset ''' + _ = distribute_file + ds = de.TFRecordDataset([cfg.data_file], cfg.schema_file, columns_list=["input_ids", "input_mask", "segment_ids", "label_ids"]) type_cast_op = C.TypeCast(mstype.int32) diff --git a/example/bert_clue/finetune.py b/example/bert_clue/finetune.py index b81b2c48d3b..d3cd22a3bd6 100644 --- a/example/bert_clue/finetune.py +++ b/example/bert_clue/finetune.py @@ -58,6 +58,8 @@ def get_dataset(batch_size=1, repeat_count=1, distribute_file=''): ''' get dataset ''' + _ = distribute_file + ds = de.TFRecordDataset([cfg.data_file], cfg.schema_file, columns_list=["input_ids", "input_mask", "segment_ids", "label_ids"]) type_cast_op = C.TypeCast(mstype.int32) diff --git a/mindspore/nn/layer/quant.py b/mindspore/nn/layer/quant.py index cec0f8aa7e5..fe1c0e9f455 100644 --- a/mindspore/nn/layer/quant.py +++ b/mindspore/nn/layer/quant.py @@ -208,6 +208,7 @@ class Conv2dBatchNormQuant(Cell): symmetric=False, narrow_range=False): super(Conv2dBatchNormQuant, self).__init__() + _ = dilation self.stride = stride self.conv = P.Conv2D(out_channel=out_channels, kernel_size=kernel_size, diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py index 90d448e55ab..a80500c0e64 100644 --- a/mindspore/ops/operations/nn_ops.py +++ b/mindspore/ops/operations/nn_ops.py @@ -2030,7 +2030,7 @@ class OneHot(PrimitiveWithInfer): depth_val = depth['value'] validator.check_integer("depth", depth_val, 0, Rel.GE, self.name) # create new dimension at end if self.axis is -1 - indices_shp.insert(self.axis, depth_val) if self.axis >= 0 else indices_shp.append(depth_val) + _ = indices_shp.insert(self.axis, depth_val) if self.axis >= 0 else indices_shp.append(depth_val) return {'shape': indices_shp, 'dtype': on_value['dtype'], diff --git a/mindspore/train/summary/_event_writer.py b/mindspore/train/summary/_event_writer.py index 4c340d0caf6..ae347135f62 100644 --- a/mindspore/train/summary/_event_writer.py +++ b/mindspore/train/summary/_event_writer.py @@ -38,6 +38,7 @@ class EventWriter(Process): def __init__(self, filepath: str, flush_interval: int) -> None: super().__init__() + _ = flush_interval with open(filepath, 'w'): os.chmod(filepath, stat.S_IWUSR | stat.S_IRUSR) self._writer = EventWriter_(filepath)