未验证 提交 9766a399 编写于 作者: W Wang Feng 提交者: GitHub

chore(ci): add CI action and fixed pylint error (#10)

* add pylintrc
* Create ci.yml
* fix typo in shufflenet
* add CI badge
上级 1e7e9023
# This is a basic workflow to help you get started with Actions
name: CI
# Controls when the action will run. Triggers the workflow on push or pull request
# events but only for the master branch
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
# This workflow contains a single job called "build"
build:
# The type of runner that the job will run on
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.5, 3.6, 3.7, 3.8]
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v1
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
pip install megengine -f https://megengine.org.cn/whl/mge.html
# Runs a set of commands using the runners shell
- name: Pylint check
run: |
export PYTHONPATH=$PWD:$PYTHONPATH
pip install pylint
pylint official/vision --rcfile=.pylintrc || pylint_ret=$?
echo test, and deploy your project.
if [ "$pylint_ret" ]; then
exit $pylint_ret
fi
echo "All lint steps passed!"
[MASTER]
# A comma-separated list of package or module names from where C extensions may
# be loaded. Extensions are loading into the active Python interpreter and may
# run arbitrary code.
extension-pkg-whitelist=['megengine', 'cv2']
# Add files or directories to the blacklist. They should be base names, not
# paths.
ignore=CVS,_internal
# Add files or directories matching the regex patterns to the blacklist. The
# regex matches against base names, not paths.
ignore-patterns=
# Python code to execute, usually for sys.path manipulation such as
# pygtk.require().
#init-hook=
# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the
# number of processors available to use.
jobs=1
# Control the amount of potential inferred values when inferring a single
# object. This can help the performance when dealing with large functions or
# complex, nested conditions.
limit-inference-results=100
# List of plugins (as comma separated values of python module names) to load,
# usually to register additional checkers.
load-plugins=
# Pickle collected data for later comparisons.
persistent=yes
# Specify a configuration file.
#rcfile=
# When enabled, pylint would attempt to guess common misconfiguration and emit
# user-friendly hints instead of false-positive error messages.
suggestion-mode=yes
# Allow loading of arbitrary C extensions. Extensions are imported into the
# active Python interpreter and may run arbitrary code.
unsafe-load-any-extension=no
[MESSAGES CONTROL]
# Only show warnings with the listed confidence levels. Leave empty to show
# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED.
confidence=
# Disable the message, report, category or checker with the given id(s). You
# can either give multiple identifiers separated by comma (,) or put this
# option multiple times (only on the command line, not in the configuration
# file where it should appear only once). You can also use "--disable=all" to
# disable everything first and then reenable specific checks. For example, if
# you want to run only the similarities checker, you can use "--disable=all
# --enable=similarities". If you want to run only the classes checker, but have
# no Warning level messages displayed, use "--disable=all --enable=classes
# --disable=W".
disable=print-statement,
no-else-return,
len-as-condition,
bad-continuation,
redefined-builtin, # TBD
arguments-differ, # TBD
invalid-name, # TBD
too-many-locals, # TBD
too-many-attributes, # TBD
too-many-arguments, # TBD
too-many-instance-attributes, # TBD
too-few-public-methods, # TBD
protected-access, # TBD
no-self-use, # TBD
cyclic-import, # TBD
no-else-raise, # TBD
line-too-long, # Although We ensure line length by YAPF, there are some cases YAPF won't split lines (e.g. comments). We just ignore these cases.
fixme, # Will be enable after a while
duplicate-code, # Will be enable after a while
missing-function-docstring, # Will be enable after a while
missing-module-docstring, # Will be enable after a while
missing-class-docstring, # Will be enable after a while
singleton-comparison,
parameter-unpacking,
unpacking-in-except,
old-raise-syntax,
backtick,
long-suffix,
old-ne-operator,
old-octal-literal,
import-star-module-level,
non-ascii-bytes-literal,
raw-checker-failed,
bad-inline-option,
locally-disabled,
file-ignored,
suppressed-message,
useless-suppression,
deprecated-pragma,
use-symbolic-message-instead,
apply-builtin,
basestring-builtin,
buffer-builtin,
cmp-builtin,
coerce-builtin,
execfile-builtin,
file-builtin,
long-builtin,
raw_input-builtin,
reduce-builtin,
standarderror-builtin,
unicode-builtin,
xrange-builtin,
coerce-method,
delslice-method,
getslice-method,
setslice-method,
no-absolute-import,
old-division,
dict-iter-method,
dict-view-method,
next-method-called,
metaclass-assignment,
indexing-exception,
raising-string,
reload-builtin,
oct-method,
hex-method,
nonzero-method,
cmp-method,
input-builtin,
round-builtin,
intern-builtin,
unichr-builtin,
map-builtin-not-iterating,
zip-builtin-not-iterating,
range-builtin-not-iterating,
filter-builtin-not-iterating,
using-cmp-argument,
eq-without-hash,
div-method,
idiv-method,
rdiv-method,
exception-message-attribute,
invalid-str-codec,
sys-max-int,
bad-python3-import,
deprecated-string-function,
deprecated-str-translate-call,
deprecated-itertools-function,
deprecated-types-field,
next-method-defined,
dict-items-not-iterating,
dict-keys-not-iterating,
dict-values-not-iterating,
deprecated-operator-function,
deprecated-urllib-function,
xreadlines-attribute,
deprecated-sys-function,
exception-escape,
comprehension-escape,
attribute-defined-outside-init,
logging-format-interpolation,
unsubscriptable-object # pylint bug for numpy array
# Enable the message, report, category or checker with the given id(s). You can
# either give multiple identifier separated by comma (,) or put this option
# multiple time (only on the command line, not in the configuration file where
# it should appear only once). See also the "--disable" option for examples.
enable=c-extension-no-member
[REPORTS]
# Python expression which should return a score less than or equal to 10. You
# have access to the variables 'error', 'warning', 'refactor', and 'convention'
# which contain the number of messages in each category, as well as 'statement'
# which is the total number of statements analyzed. This score is used by the
# global evaluation report (RP0004).
evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10)
# Template used to display messages. This is a python new-style format string
# used to format the message information. See doc for all details.
#msg-template=
# Set the output format. Available formats are text, parseable, colorized, json
# and msvs (visual studio). You can also give a reporter class, e.g.
# mypackage.mymodule.MyReporterClass.
output-format=text
# Tells whether to display a full report or only the messages.
reports=no
# Activate the evaluation score.
score=yes
[REFACTORING]
# Maximum number of nested blocks for function / method body
max-nested-blocks=5
# Complete name of functions that never returns. When checking for
# inconsistent-return-statements if a never returning function is called then
# it will be considered as an explicit return statement and no message will be
# printed.
never-returning-functions=sys.exit
[VARIABLES]
# List of additional names supposed to be defined in builtins. Remember that
# you should avoid defining new builtins when possible.
additional-builtins=
# Tells whether unused global variables should be treated as a violation.
allow-global-unused-variables=yes
# List of strings which can identify a callback function by name. A callback
# name must start or end with one of those strings.
callbacks=cb_,
_cb
# A regular expression matching the name of dummy variables (i.e. expected to
# not be used).
dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_
# Argument names that match this expression will be ignored. Default to name
# with leading underscore.
ignored-argument-names=_.*|^ignored_|^unused_
# Tells whether we should check for unused import in __init__ files.
init-import=no
# List of qualified module names which can have objects that can redefine
# builtins.
redefining-builtins-modules=six.moves,past.builtins,future.builtins,builtins,io
[TYPECHECK]
# List of decorators that produce context managers, such as
# contextlib.contextmanager. Add to this list to register other decorators that
# produce valid context managers.
contextmanager-decorators=contextlib.contextmanager
# List of members which are set dynamically and missed by pylint inference
# system, and so shouldn't trigger E1101 when accessed. Python regular
# expressions are accepted.
generated-members=numpy.*, torch.*, megbrain.*, cv2.*
# Tells whether missing members accessed in mixin class should be ignored. A
# mixin class is detected if its name ends with "mixin" (case insensitive).
ignore-mixin-members=yes
# Tells whether to warn about missing members when the owner of the attribute
# is inferred to be None.
ignore-none=yes
# This flag controls whether pylint should warn about no-member and similar
# checks whenever an opaque object is returned when inferring. The inference
# can return multiple potential results while evaluating a Python object, but
# some branches might not be evaluated, which results in partial inference. In
# that case, it might be useful to still emit no-member and other checks for
# the rest of the inferred objects.
ignore-on-opaque-inference=yes
# List of class names for which member attributes should not be checked (useful
# for classes with dynamically set attributes). This supports the use of
# qualified names.
ignored-classes=optparse.Values,thread._local,_thread._local
# List of module names for which member attributes should not be checked
# (useful for modules/projects where namespaces are manipulated during runtime
# and thus existing member attributes cannot be deduced by static analysis). It
# supports qualified module names, as well as Unix pattern matching.
ignored-modules=numpy.random
# Show a hint with possible names when a member name was not found. The aspect
# of finding the hint is based on edit distance.
missing-member-hint=yes
# The minimum edit distance a name should have in order to be considered a
# similar match for a missing member name.
missing-member-hint-distance=1
# The total number of similar names that should be taken in consideration when
# showing a hint for a missing member.
missing-member-max-choices=1
# List of decorators that change the signature of a decorated function.
signature-mutators=
[STRING]
# This flag controls whether the implicit-str-concat-in-sequence should
# generate a warning on implicit string concatenation in sequences defined over
# several lines.
check-str-concat-over-line-jumps=no
[SPELLING]
# Limits count of emitted suggestions for spelling mistakes.
max-spelling-suggestions=4
# Spelling dictionary name. Available dictionaries: none. To make it work,
# install the python-enchant package.
spelling-dict=
# List of comma separated words that should not be checked.
spelling-ignore-words=
# A path to a file that contains the private dictionary; one word per line.
spelling-private-dict-file=
# Tells whether to store unknown words to the private dictionary (see the
# --spelling-private-dict-file option) instead of raising a message.
spelling-store-unknown-words=no
[SIMILARITIES]
# Ignore comments when computing similarities.
ignore-comments=yes
# Ignore docstrings when computing similarities.
ignore-docstrings=yes
# Ignore imports when computing similarities.
ignore-imports=no
# Minimum lines number of a similarity.
min-similarity-lines=4
[MISCELLANEOUS]
# List of note tags to take in consideration, separated by a comma.
notes=FIXME,
XXX,
TODO
[LOGGING]
# Format style used to check logging format string. `old` means using %
# formatting, `new` is for `{}` formatting,and `fstr` is for f-strings.
logging-format-style=old
# Logging modules to check that the string format arguments are in logging
# function parameter format.
logging-modules=logging
[FORMAT]
# Expected format of line ending, e.g. empty (any line ending), LF or CRLF.
expected-line-ending-format=
# Regexp for a line that is allowed to be longer than the limit.
ignore-long-lines=^\s*(# )?<?https?://\S+>?$
# Number of spaces of indent required inside a hanging or continued line.
indent-after-paren=4
# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1
# tab).
indent-string=' '
# Maximum number of characters on a single line.
max-line-length=88
# Maximum number of lines in a module.
max-module-lines=1000
# List of optional constructs for which whitespace checking is disabled. `dict-
# separator` is used to allow tabulation in dicts, etc.: {1 : 1,\n222: 2}.
# `trailing-comma` allows a space between comma and closing bracket: (a, ).
# `empty-line` allows space-only lines.
no-space-check=trailing-comma,
dict-separator
# Allow the body of a class to be on the same line as the declaration if body
# contains single statement.
single-line-class-stmt=no
# Allow the body of an if to be on the same line as the test if there is no
# else.
single-line-if-stmt=no
[BASIC]
# Naming style matching correct argument names.
argument-naming-style=snake_case
# Regular expression matching correct argument names. Overrides argument-
# naming-style.
#argument-rgx=
# Naming style matching correct attribute names.
attr-naming-style=snake_case
# Regular expression matching correct attribute names. Overrides attr-naming-
# style.
#attr-rgx=
# Bad variable names which should always be refused, separated by a comma.
bad-names=foo,
baz,
toto,
tutu,
tata
# Naming style matching correct class attribute names.
class-attribute-naming-style=any
# Regular expression matching correct class attribute names. Overrides class-
# attribute-naming-style.
#class-attribute-rgx=
# Naming style matching correct class names.
class-naming-style=PascalCase
# Regular expression matching correct class names. Overrides class-naming-
# style.
#class-rgx=
# Naming style matching correct constant names.
const-naming-style=UPPER_CASE
# Regular expression matching correct constant names. Overrides const-naming-
# style.
#const-rgx=
# Minimum line length for functions/classes that require docstrings, shorter
# ones are exempt.
docstring-min-length=-1
# Naming style matching correct function names.
function-naming-style=snake_case
# Regular expression matching correct function names. Overrides function-
# naming-style.
#function-rgx=
# Good variable names which should always be accepted, separated by a comma.
good-names=i,
j,
k,
f,
ex,
Run,
_
# Include a hint for the correct naming format with invalid-name.
include-naming-hint=no
# Naming style matching correct inline iteration names.
inlinevar-naming-style=any
# Regular expression matching correct inline iteration names. Overrides
# inlinevar-naming-style.
#inlinevar-rgx=
# Naming style matching correct method names.
method-naming-style=snake_case
# Regular expression matching correct method names. Overrides method-naming-
# style.
#method-rgx=
# Naming style matching correct module names.
module-naming-style=snake_case
# Regular expression matching correct module names. Overrides module-naming-
# style.
#module-rgx=
# Colon-delimited sets of names that determine each other's naming style when
# the name regexes allow several styles.
name-group=
# Regular expression which should only match function or class names that do
# not require a docstring.
no-docstring-rgx=^_
# List of decorators that produce properties, such as abc.abstractproperty. Add
# to this list to register other decorators that produce valid properties.
# These decorators are taken in consideration only for invalid-name.
property-classes=abc.abstractproperty
# Naming style matching correct variable names.
variable-naming-style=snake_case
# Regular expression matching correct variable names. Overrides variable-
# naming-style.
#variable-rgx=
[IMPORTS]
# List of modules that can be imported at any level, not just the top level
# one.
allow-any-import-level=
# Allow wildcard imports from modules that define __all__.
allow-wildcard-with-all=no
# Analyse import fallback blocks. This can be used to support both Python 2 and
# 3 compatible code, which means that the block might have code that exists
# only in one or another interpreter, leading to false positives when analysed.
analyse-fallback-blocks=no
# Deprecated modules which should not be used, separated by a comma.
deprecated-modules=optparse,tkinter.tix
# Create a graph of external dependencies in the given file (report RP0402 must
# not be disabled).
ext-import-graph=
# Create a graph of every (i.e. internal and external) dependencies in the
# given file (report RP0402 must not be disabled).
import-graph=
# Create a graph of internal dependencies in the given file (report RP0402 must
# not be disabled).
int-import-graph=
# Force import order to recognize a module as part of the standard
# compatibility libraries.
known-standard-library=
# Force import order to recognize a module as part of a third party library.
known-third-party=enchant
# Couples of modules and preferred modules, separated by a comma.
preferred-modules=
[DESIGN]
# Maximum number of arguments for function / method.
max-args=5
# Maximum number of attributes for a class (see R0902).
max-attributes=7
# Maximum number of boolean expressions in an if statement (see R0916).
max-bool-expr=5
# Maximum number of branch for function / method body.
max-branches=12
# Maximum number of locals for function / method body.
max-locals=15
# Maximum number of parents for a class (see R0901).
max-parents=7
# Maximum number of public methods for a class (see R0904).
max-public-methods=20
# Maximum number of return / yield for function / method body.
max-returns=6
# Maximum number of statements in function / method body.
max-statements=50
# Minimum number of public methods for a class (see R0903).
min-public-methods=2
[CLASSES]
# List of method names used to declare (i.e. assign) instance attributes.
defining-attr-methods=__init__,
__new__,
setUp,
__post_init__
# List of member names, which should be excluded from the protected access
# warning.
exclude-protected=_asdict,
_fields,
_replace,
_source,
_make
# List of valid names for the first argument in a class method.
valid-classmethod-first-arg=cls
# List of valid names for the first argument in a metaclass class method.
valid-metaclass-classmethod-first-arg=cls
[EXCEPTIONS]
# Exceptions that will emit a warning when being caught. Defaults to
# "BaseException, Exception".
overgeneral-exceptions=BaseException,
Exception
# MegEngine Models # MegEngine Models
![](https://github.com/MegEngine/Models/workflows/CI/badge.svg)
本仓库包含了采用[MegEngine](https://github.com/megengine/megengine)实现的各种主流深度学习模型。 本仓库包含了采用[MegEngine](https://github.com/megengine/megengine)实现的各种主流深度学习模型。
[official](./official)目录下提供了各种经典的图像分类、目标检测、图像分割以及自然语言模型的官方实现。每个模型同时提供了模型定义、推理以及训练的代码。 [official](./official)目录下提供了各种经典的图像分类、目标检测、图像分割以及自然语言模型的官方实现。每个模型同时提供了模型定义、推理以及训练的代码。
......
...@@ -138,7 +138,7 @@ def infer(model, data_queue, args, epoch=0): ...@@ -138,7 +138,7 @@ def infer(model, data_queue, args, epoch=0):
return objs.avg, top1.avg, top5.avg return objs.avg, top1.avg, top5.avg
class AverageMeter(object): class AverageMeter:
"""Computes and stores the average and current value""" """Computes and stores the average and current value"""
def __init__(self, name, fmt=":.3f"): def __init__(self, name, fmt=":.3f"):
......
...@@ -283,7 +283,7 @@ def infer(model, data_queue, args, epoch=0): ...@@ -283,7 +283,7 @@ def infer(model, data_queue, args, epoch=0):
return objs.avg, top1.avg, top5.avg return objs.avg, top1.avg, top5.avg
class AverageMeter(object): class AverageMeter:
"""Computes and stores the average and current value""" """Computes and stores the average and current value"""
def __init__(self, name, fmt=":.3f"): def __init__(self, name, fmt=":.3f"):
......
...@@ -97,6 +97,8 @@ class ShuffleV2Block(M.Module): ...@@ -97,6 +97,8 @@ class ShuffleV2Block(M.Module):
x_proj = old_x x_proj = old_x
x = old_x x = old_x
return F.concat((self.branch_proj(x_proj), self.branch_main(x)), 1) return F.concat((self.branch_proj(x_proj), self.branch_main(x)), 1)
else:
raise ValueError("use stride 1 or 2, current stride {}".format(self.stride))
def channel_shuffle(self, x): def channel_shuffle(self, x):
batchsize, num_channels, height, width = x.shape batchsize, num_channels, height, width = x.shape
......
...@@ -137,7 +137,7 @@ def infer(model, data_queue, args, epoch=0): ...@@ -137,7 +137,7 @@ def infer(model, data_queue, args, epoch=0):
return objs.avg, top1.avg, top5.avg return objs.avg, top1.avg, top5.avg
class AverageMeter(object): class AverageMeter:
"""Computes and stores the average and current value""" """Computes and stores the average and current value"""
def __init__(self, name, fmt=":.3f"): def __init__(self, name, fmt=":.3f"):
......
...@@ -113,6 +113,8 @@ def get_parameters(model): ...@@ -113,6 +113,8 @@ def get_parameters(model):
def worker(rank, world_size, args): def worker(rank, world_size, args):
# pylint: disable=too-many-statements
if world_size > 1: if world_size > 1:
# Initialize distributed process group # Initialize distributed process group
logger.info("init distributed process group {} / {}".format(rank, world_size)) logger.info("init distributed process group {} / {}".format(rank, world_size))
...@@ -297,7 +299,7 @@ def infer(model, data_queue, args): ...@@ -297,7 +299,7 @@ def infer(model, data_queue, args):
return objs.avg, top1.avg, top5.avg return objs.avg, top1.avg, top5.avg
class AverageMeter(object): class AverageMeter:
"""Computes and stores the average and current value""" """Computes and stores the average and current value"""
def __init__(self, name, fmt=":.3f"): def __init__(self, name, fmt=":.3f"):
......
...@@ -129,7 +129,7 @@ class DefaultAnchorGenerator(BaseAnchorGenerator): ...@@ -129,7 +129,7 @@ class DefaultAnchorGenerator(BaseAnchorGenerator):
flatten_shift_y = F.add_axis(broad_shift_y.reshape(-1), 1) flatten_shift_y = F.add_axis(broad_shift_y.reshape(-1), 1)
centers = F.concat( centers = F.concat(
[flatten_shift_x, flatten_shift_y, flatten_shift_x, flatten_shift_y,], [flatten_shift_x, flatten_shift_y, flatten_shift_x, flatten_shift_y, ],
axis=1, axis=1,
) )
if self.offset > 0: if self.offset > 0:
......
...@@ -270,9 +270,10 @@ def make_parser(): ...@@ -270,9 +270,10 @@ def make_parser():
def main(): def main():
# pylint: disable=import-outside-toplevel
from pycocotools.coco import COCO from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval from pycocotools.cocoeval import COCOeval
parser = make_parser() parser = make_parser()
args = parser.parse_args() args = parser.parse_args()
......
...@@ -86,22 +86,22 @@ def pad_image_to_shape(img, shape, border_mode, value): ...@@ -86,22 +86,22 @@ def pad_image_to_shape(img, shape, border_mode, value):
def eval_single(net, img, is_flip): def eval_single(net, img, is_flip):
@jit.trace(symbolic=True, opt_level=2) @jit.trace(symbolic=True, opt_level=2)
def pred_fun(data, net=None): def pred_fun(input_data, net=None):
net.eval() net.eval()
pred = net(data) pred = net(input_data)
return pred return pred
data = mge.tensor() input_data = mge.tensor()
data.set_value(img.transpose(2, 0, 1)[np.newaxis]) input_data.set_value(img.transpose(2, 0, 1)[np.newaxis])
pred = pred_fun(data, net=net) pred = pred_fun(input_data, net=net)
if is_flip: if is_flip:
img_flip = img[:, ::-1, :] img_flip = img[:, ::-1, :]
data.set_value(img_flip.transpose(2, 0, 1)[np.newaxis]) input_data.set_value(img_flip.transpose(2, 0, 1)[np.newaxis])
pred_flip = pred_fun(data, net=net) pred_flip = pred_fun(input_data, net=net)
pred = (pred + pred_flip[:, :, :, ::-1]) / 2.0 pred = (pred + pred_flip[:, :, :, ::-1]) / 2.0
del pred_flip del pred_flip
pred = pred.numpy().squeeze().transpose(1, 2, 0) pred = pred.numpy().squeeze().transpose(1, 2, 0)
del data del input_data
return pred return pred
...@@ -119,7 +119,7 @@ def evaluate(net, img): ...@@ -119,7 +119,7 @@ def evaluate(net, img):
img_scale = cv2.resize(img, (out_w, out_h), interpolation=cv2.INTER_LINEAR) img_scale = cv2.resize(img, (out_w, out_h), interpolation=cv2.INTER_LINEAR)
val_size = (out_h, out_w) val_size = (out_h, out_w)
new_h, new_w, _ = img_scale.shape new_h = img_scale.shape[0]
if (new_h <= val_size[0]) and (new_h <= val_size[1]): if (new_h <= val_size[0]) and (new_h <= val_size[1]):
img_pad, margin = pad_image_to_shape( img_pad, margin = pad_image_to_shape(
img_scale, val_size, cv2.BORDER_CONSTANT, value=0 img_scale, val_size, cv2.BORDER_CONSTANT, value=0
...@@ -195,6 +195,7 @@ def compute_metric(result_list): ...@@ -195,6 +195,7 @@ def compute_metric(result_list):
""" """
modified from https://github.com/YudeWang/deeplabv3plus-pytorch modified from https://github.com/YudeWang/deeplabv3plus-pytorch
""" """
# pylint: disable=redefined-outer-name
TP, P, T = [], [], [] TP, P, T = [], [], []
for i in range(cfg.NUM_CLASSES): for i in range(cfg.NUM_CLASSES):
TP.append(mp.Value("i", 0, lock=True)) TP.append(mp.Value("i", 0, lock=True))
......
...@@ -116,9 +116,9 @@ def worker(rank, world_size, args): ...@@ -116,9 +116,9 @@ def worker(rank, world_size, args):
) )
@jit.trace(symbolic=True, opt_level=2) @jit.trace(symbolic=True, opt_level=2)
def train_func(data, label, net=None, optimizer=None): def train_func(input_data, label, net=None, optimizer=None):
net.train() net.train()
pred = net(data) pred = net(input_data)
loss = softmax_cross_entropy(pred, label, ignore_index=cfg.IGNORE_INDEX) loss = softmax_cross_entropy(pred, label, ignore_index=cfg.IGNORE_INDEX)
optimizer.backward(loss) optimizer.backward(loss)
return pred, loss return pred, loss
......
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