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!43410 fix codedex and pylint 

Merge pull request !43410 from zhangbuxue/fix_codedex_r1.9
This commit is contained in:
i-robot 2022-10-10 08:56:44 +00:00 committed by Gitee
parent a0e126b8b2 9dd048a0e1
commit aedf225320
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GPG Key ID: 173E9B9CA92EEF8F
8 changed files with 11 additions and 5 deletions
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2
mindspore/ccsrc/plugin/device/cpu/kernel/random_shuffle_cpu_kernel.cc
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@ -85,7 +85,7 @@ int RandomShuffleCpuKernelMod::Resize(const BaseOperatorPtr &base_operator, cons
template <typename T>
bool RandomShuffleCpuKernelMod::ScalarShuffle(const std::vector<kernel::AddressPtr> &inputs,
const std::vector<kernel::AddressPtr> &outputs,
const std::vector<size_t> &perm) {
const std::vector<size_t> &perm) const {
auto input = reinterpret_cast<T *>(inputs[0]->addr);
auto output = reinterpret_cast<T *>(outputs[0]->addr);
for (size_t i = 0; i < perm.size(); i++) {

2
mindspore/ccsrc/plugin/device/cpu/kernel/random_shuffle_cpu_kernel.h
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@ -49,7 +49,7 @@ class RandomShuffleCpuKernelMod : public NativeCpuKernelMod {
template <typename T>
bool ScalarShuffle(const std::vector<kernel::AddressPtr> &inputs, const std::vector<kernel::AddressPtr> &outputs,
const std::vector<size_t> &perm);
const std::vector<size_t> &perm) const;
template <typename T>
bool ScalarShuffleWithBatchRank(const std::vector<kernel::AddressPtr> &inputs,

1
mindspore/ccsrc/plugin/device/cpu/kernel/reverse_sequence_cpu_kernel.h
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@ -21,7 +21,6 @@
#include <map>
#include <memory>
#include <algorithm>
#include <utility>
#include <string>
#include <tuple>
#include <complex>

1
mindspore/python/mindspore/ops/_utils/utils.py
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@ -14,6 +14,7 @@
# ============================================================================
"""utils for operator"""
from __future__ import absolute_import
from mindspore.common.tensor import Tensor
from mindspore._checkparam import Validator as validator

1
mindspore/python/mindspore/ops/function/array_func.py
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@ -14,6 +14,7 @@
# ============================================================================
"""Operators for function."""
from __future__ import absolute_import
import mindspore.common.dtype as mstype
from mindspore.ops import operations as P

4
mindspore/python/mindspore/ops/function/parameter_func.py
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@ -20,6 +20,8 @@ from .._primitive_cache import _get_cache_prim
assign_ = P.Assign()
def assign(variable, value):
"""
Assigns `Parameter` with a value.
@ -56,6 +58,8 @@ def assign(variable, value):
assign_sub_ = P.AssignSub()
def assign_sub(variable, value):
"""
Updates a `Parameter` by subtracting a value from it.

1
mindspore/python/mindspore/ops/operations/_quant_ops.py
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@ -14,6 +14,7 @@
# ============================================================================
"""Operators for quantization."""
from __future__ import absolute_import
from functools import partial
import mindspore.context as context

4
mindspore/python/mindspore/profiler/parser/base_timeline_generator.py
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@ -54,8 +54,6 @@ class BaseTimelineGenerator:
_STEPS_SORT_INDEX = -4
__col_names__ = ['op_name', 'stream_id', 'start_time', 'duration']
_output_timeline_data_file_path = 'output_timeline_data_{}.txt'
_timeline_meta = []
_format_meta_data_list = []
@ -90,6 +88,8 @@ class BaseTimelineGenerator:
_device_target = DeviceTarget.ASCEND.value
_model = context.GRAPH_MODE
__col_names__ = ['op_name', 'stream_id', 'start_time', 'duration']
def __init__(self, device_target, model):
self._tid_dict = {
"computation_op": (self._MERGED_COMPUTATION_TID, self._OP_OVERLAP_PID),