code check for master

mindspore/common/__init__.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/common/_monad.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/common/_register_for_tensor.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/common/api.py

@@ -1,6 +1,6 @@
 # This is the Python adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
 #
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -169,7 +169,6 @@ class _MindsporeFunctionExecutor:
         key = generate_arguments_key(dic)
         phase = generate_name + '.' + str(key)
         if phase not in ms_compile_cache.keys():
-            is_compile = False
             if self.obj is None:
                 is_compile = self._graph_executor.compile(self.fn, args_list, phase, True, "")
             else:

mindspore/common/dtype.py

@@ -1,6 +1,6 @@
 # This is the Python adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
 #
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/common/initializer.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -80,7 +80,7 @@ def _register(*aliases):
 def _assignment(arr, num):
     """Assign the value of `num` to `arr`."""
     if arr.shape == ():
-        arr = arr.reshape((1))
+        arr = arr.reshape(1)
         arr[:] = num
         arr = arr.reshape(())
     else:
@@ -155,9 +155,8 @@ def _calculate_fan_in_and_fan_out(shape):
         num_input_fmaps = shape[1]
         num_output_fmaps = shape[0]
         receptive_field_size = 1
-        if dimensions > 2:
-            for i in range(2, dimensions):
-                receptive_field_size *= shape[i]
+        for i in range(2, dimensions):
+            receptive_field_size *= shape[i]
         fan_in = num_input_fmaps * receptive_field_size
         fan_out = num_output_fmaps * receptive_field_size
     return fan_in, fan_out

mindspore/common/parameter.py

@@ -499,7 +499,7 @@ class Parameter(Tensor_):
         current_tensor_is_init = isinstance(self, Tensor) and not self.has_init
 
         if incoming_tensor_is_init and not current_tensor_is_init:
-            raise TypeError("Parameter is a `Tensor` and not initializered, `data` for `set_data`"
+            raise TypeError("Parameter is a `Tensor` and not initialized, `data` for `set_data`"
                             "should be a Tensor. If you want to update it by Tensor, call method"
                             "`init_parameters_data` of `Cell` to init and replace all the Parameter of"
                             "network, then call this method.")
@@ -515,7 +515,7 @@ class Parameter(Tensor_):
                 from mindspore.ops import functional as F
                 data = F.cast(data, self.dtype)
         if isinstance(data, Tensor) and data.has_init:
-            # The parameter has been initializered, directly update by the data
+            # The parameter has been initialized, directly update by the data
             if current_tensor_is_init:
                 self._update_tensor_data(data.init_data())
             else:

mindspore/common/seed.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/common/tensor.py

@@ -734,7 +734,6 @@ class Tensor(Tensor_):
             axis1, axis2 = axis2, axis1
 
         perm = tuple(range(0, self.ndim))
-        new_perm = None
         if axis2 + 1 < self.ndim:
             new_perm = perm[0:axis1] + perm[axis2:axis2+1] + \
                 perm[axis1+1:axis2] + perm[axis1:axis1+1] + perm[axis2+1:]

mindspore/nn/cell.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -1294,7 +1294,7 @@ class Cell(Cell_):
                 self._scope = prefix
             elif not self._scope.startswith(prefix):
                 self._scope = prefix + self._scope
-        elif not self._scope is None and self._scope.startswith(prefix):
+        elif self._scope is not None and self._scope.startswith(prefix):
             self._scope = self._scope[len(prefix):]
 
     def _mp_comm_recompute(self, mp_comm_recompute=True):

mindspore/nn/metrics/__init__.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/nn/metrics/error.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/nn/metrics/fbeta.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/nn/metrics/loss.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/nn/metrics/metric.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/nn/metrics/precision.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/nn/metrics/recall.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/nn/metrics/topk.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/train/callback/_checkpoint.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/train/model.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

mindspore/train/serialization.py

@@ -1,4 +1,4 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
+# Copyright 2020-2021 Huawei Technologies Co., Ltd
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -241,7 +241,7 @@ def save_checkpoint(save_obj, ckpt_file_name, integrated_save=True,
             each_param = {"name": key}
             param_data = Tensor(value.data)
 
-            # in automatic model parallel scenario, some parameters were spliteds to all the devices,
+            # in automatic model parallel scenario, some parameters were split to all the devices,
             # which should be combined before saving
             if key in save_obj.parameter_layout_dict:
                 param_data = _get_merged_param_data(save_obj, key, param_data, integrated_save)
@@ -1365,9 +1365,9 @@ def load_distributed_checkpoint(network, checkpoint_filenames, predict_strategy=
         param_dict[param.name] = split_param
 
     if param_not_in_strategy:
-        logger.warning("{} parameters in network are not in the sclice strategy.".format(param_not_in_strategy))
+        logger.warning("{} parameters in network are not in the slice strategy.".format(param_not_in_strategy))
     if param_not_in_ckpt:
-        logger.warning("{} parameters in sclice strategy but not in the checkpoint file.".format(param_not_in_ckpt))
+        logger.warning("{} parameters in slice strategy but not in the checkpoint file.".format(param_not_in_ckpt))
 
     load_param_into_net(network, param_dict)