body_hash stringlengths 64 64 | body stringlengths 23 109k | docstring stringlengths 1 57k | path stringlengths 4 198 | name stringlengths 1 115 | repository_name stringlengths 7 111 | repository_stars float64 0 191k | lang stringclasses 1
value | body_without_docstring stringlengths 14 108k | unified stringlengths 45 133k |
|---|---|---|---|---|---|---|---|---|---|
c1433d6dbcb4bc1e4bff9b994a2d07e1aa87990bbb5822ffe6838a201e45a8e5 | @task
def ngrok(c):
'\n Open the local web server with Ngrok\n '
subprocess.run('ngrok http -host-header=local.starfleet.app local.starfleet.app:443', shell=True) | Open the local web server with Ngrok | tasks.py | ngrok | jolicode/starfleet | 19 | python | @task
def ngrok(c):
'\n \n '
subprocess.run('ngrok http -host-header=local.starfleet.app local.starfleet.app:443', shell=True) | @task
def ngrok(c):
'\n \n '
subprocess.run('ngrok http -host-header=local.starfleet.app local.starfleet.app:443', shell=True)<|docstring|>Open the local web server with Ngrok<|endoftext|> |
77763ae9ed3fbdb5450a0206fc050d1d42cdaadf3849aa60dad78b15d254dfa8 | @task
def webpack_watch(c):
'\n Compile and watch CSS and JS files for dev env\n '
with Builder(c):
docker_compose_run(c, 'yarn run watch') | Compile and watch CSS and JS files for dev env | tasks.py | webpack_watch | jolicode/starfleet | 19 | python | @task
def webpack_watch(c):
'\n \n '
with Builder(c):
docker_compose_run(c, 'yarn run watch') | @task
def webpack_watch(c):
'\n \n '
with Builder(c):
docker_compose_run(c, 'yarn run watch')<|docstring|>Compile and watch CSS and JS files for dev env<|endoftext|> |
d572ff8e3907c92cc258816b18f3203db766571717ce8621ee2b6f52aabf7930 | @task
def webpack(c):
'\n Compile CSS and JS files for dev env\n '
with Builder(c):
docker_compose_run(c, 'yarn run dev') | Compile CSS and JS files for dev env | tasks.py | webpack | jolicode/starfleet | 19 | python | @task
def webpack(c):
'\n \n '
with Builder(c):
docker_compose_run(c, 'yarn run dev') | @task
def webpack(c):
'\n \n '
with Builder(c):
docker_compose_run(c, 'yarn run dev')<|docstring|>Compile CSS and JS files for dev env<|endoftext|> |
6203f6b10b270da0ab73cbf18ca66c764cea98e8eb61d65b0336026f3b07607a | @task
def builder(c, user='app'):
'\n Open a shell (bash) into a builder container\n '
with Builder(c):
docker_compose_run(c, 'bash', user=user) | Open a shell (bash) into a builder container | tasks.py | builder | jolicode/starfleet | 19 | python | @task
def builder(c, user='app'):
'\n \n '
with Builder(c):
docker_compose_run(c, 'bash', user=user) | @task
def builder(c, user='app'):
'\n \n '
with Builder(c):
docker_compose_run(c, 'bash', user=user)<|docstring|>Open a shell (bash) into a builder container<|endoftext|> |
860ae2c2faec9a2b48ecb2ae3dca1d382b423670a4652995a1fa69169a85fb9b | @task
def logs(c):
'\n Display infrastructure logs\n '
docker_compose(c, 'logs -f --tail=150') | Display infrastructure logs | tasks.py | logs | jolicode/starfleet | 19 | python | @task
def logs(c):
'\n \n '
docker_compose(c, 'logs -f --tail=150') | @task
def logs(c):
'\n \n '
docker_compose(c, 'logs -f --tail=150')<|docstring|>Display infrastructure logs<|endoftext|> |
8114bd9c33017e2e499cadc790576e5a860affdb4afe327eb282ef352f98873d | @task
def ps(c):
'\n List containers status\n '
docker_compose(c, 'ps --all') | List containers status | tasks.py | ps | jolicode/starfleet | 19 | python | @task
def ps(c):
'\n \n '
docker_compose(c, 'ps --all') | @task
def ps(c):
'\n \n '
docker_compose(c, 'ps --all')<|docstring|>List containers status<|endoftext|> |
bfb902f76cb9d215676a598ceec05bc7c5b0ba9a1821ae0a070f8e271d4a78f1 | @task
def stop(c):
'\n Stop the infrastructure\n '
docker_compose(c, 'stop') | Stop the infrastructure | tasks.py | stop | jolicode/starfleet | 19 | python | @task
def stop(c):
'\n \n '
docker_compose(c, 'stop') | @task
def stop(c):
'\n \n '
docker_compose(c, 'stop')<|docstring|>Stop the infrastructure<|endoftext|> |
df41852765d8c605a7ba752db59c321b8693446a180d38260b2e6d6469fcd06b | @task
def start_workers(c):
'\n Start the workers\n '
workers = get_workers(c)
if (len(workers) == 0):
return
c.start_workers = True
c.run(('docker update --restart=unless-stopped %s' % ' '.join(workers)), hide='both')
docker_compose(c, 'up --remove-orphans --detach') | Start the workers | tasks.py | start_workers | jolicode/starfleet | 19 | python | @task
def start_workers(c):
'\n \n '
workers = get_workers(c)
if (len(workers) == 0):
return
c.start_workers = True
c.run(('docker update --restart=unless-stopped %s' % ' '.join(workers)), hide='both')
docker_compose(c, 'up --remove-orphans --detach') | @task
def start_workers(c):
'\n \n '
workers = get_workers(c)
if (len(workers) == 0):
return
c.start_workers = True
c.run(('docker update --restart=unless-stopped %s' % ' '.join(workers)), hide='both')
docker_compose(c, 'up --remove-orphans --detach')<|docstring|>Start the workers<... |
45f5cf47dd9f9ae52360da4679c350b7f5a80e723e5f5d9297869617f93e874f | @task
def stop_workers(c):
'\n Stop the workers\n '
workers = get_workers(c)
if (len(workers) == 0):
return
c.start_workers = False
c.run(('docker update --restart=no %s' % ' '.join(workers)), hide='both')
c.run(('docker stop %s' % ' '.join(workers)), hide='both') | Stop the workers | tasks.py | stop_workers | jolicode/starfleet | 19 | python | @task
def stop_workers(c):
'\n \n '
workers = get_workers(c)
if (len(workers) == 0):
return
c.start_workers = False
c.run(('docker update --restart=no %s' % ' '.join(workers)), hide='both')
c.run(('docker stop %s' % ' '.join(workers)), hide='both') | @task
def stop_workers(c):
'\n \n '
workers = get_workers(c)
if (len(workers) == 0):
return
c.start_workers = False
c.run(('docker update --restart=no %s' % ' '.join(workers)), hide='both')
c.run(('docker stop %s' % ' '.join(workers)), hide='both')<|docstring|>Stop the workers<|end... |
2f5623a9f2a10a2e3507db418234ff8a6f1d23b80407d34841fcf14bfacb3f4d | @task
def destroy(c, force=False):
'\n Clean the infrastructure (remove container, volume, networks)\n '
if (not force):
ok = confirm_choice('Are you sure? This will permanently remove all containers, volumes, networks... created for this project.')
if (not ok):
return
with... | Clean the infrastructure (remove container, volume, networks) | tasks.py | destroy | jolicode/starfleet | 19 | python | @task
def destroy(c, force=False):
'\n \n '
if (not force):
ok = confirm_choice('Are you sure? This will permanently remove all containers, volumes, networks... created for this project.')
if (not ok):
return
with Builder(c):
docker_compose(c, 'down --remove-orphans... | @task
def destroy(c, force=False):
'\n \n '
if (not force):
ok = confirm_choice('Are you sure? This will permanently remove all containers, volumes, networks... created for this project.')
if (not ok):
return
with Builder(c):
docker_compose(c, 'down --remove-orphans... |
6ef9debec7d9b030dae0ccabdf51cca67bb5e408dc717d3710d2d473ee58c9fd | @task(default=True)
def help(c):
'\n Display some help and available urls for the current project\n '
print((((('Run ' + Fore.GREEN) + 'inv help') + Fore.RESET) + ' to display this help.'))
print('')
print((((('Run ' + Fore.GREEN) + 'inv --help') + Fore.RESET) + ' to display invoke help.'))
pr... | Display some help and available urls for the current project | tasks.py | help | jolicode/starfleet | 19 | python | @task(default=True)
def help(c):
'\n \n '
print((((('Run ' + Fore.GREEN) + 'inv help') + Fore.RESET) + ' to display this help.'))
print()
print((((('Run ' + Fore.GREEN) + 'inv --help') + Fore.RESET) + ' to display invoke help.'))
print()
print((((('Run ' + Fore.GREEN) + 'inv -l') + Fore.RE... | @task(default=True)
def help(c):
'\n \n '
print((((('Run ' + Fore.GREEN) + 'inv help') + Fore.RESET) + ' to display this help.'))
print()
print((((('Run ' + Fore.GREEN) + 'inv --help') + Fore.RESET) + ' to display invoke help.'))
print()
print((((('Run ' + Fore.GREEN) + 'inv -l') + Fore.RE... |
20e90349ee073a974b0ad0a716f3dead80f4b3ae388b6967bd885ea37ec07392 | @task
def generate_certificates(c):
'\n Generates the cert.pem and cert-key.pem files\n '
with c.cd((c.project_directory + '/infrastructure/docker/services/router/etc/ssl/certs/')):
c.run('mkcert -cert-file cert.pem -key-file key.pem "*.starfleet.app"') | Generates the cert.pem and cert-key.pem files | tasks.py | generate_certificates | jolicode/starfleet | 19 | python | @task
def generate_certificates(c):
'\n \n '
with c.cd((c.project_directory + '/infrastructure/docker/services/router/etc/ssl/certs/')):
c.run('mkcert -cert-file cert.pem -key-file key.pem "*.starfleet.app"') | @task
def generate_certificates(c):
'\n \n '
with c.cd((c.project_directory + '/infrastructure/docker/services/router/etc/ssl/certs/')):
c.run('mkcert -cert-file cert.pem -key-file key.pem "*.starfleet.app"')<|docstring|>Generates the cert.pem and cert-key.pem files<|endoftext|> |
caeb1d2cb7654d462c5cf23e3e47abb562c472b9a1732e8519230fef7327ed52 | def run_in_docker_or_locally_for_dinghy(c, command, no_deps=False):
'\n Mac users have a lot of problems running Yarn / Webpack on the Docker stack so this func allow them to run these tools on their host\n '
if c.dinghy:
with c.cd(c.project_directory):
c.run(command)
else:
... | Mac users have a lot of problems running Yarn / Webpack on the Docker stack so this func allow them to run these tools on their host | tasks.py | run_in_docker_or_locally_for_dinghy | jolicode/starfleet | 19 | python | def run_in_docker_or_locally_for_dinghy(c, command, no_deps=False):
'\n \n '
if c.dinghy:
with c.cd(c.project_directory):
c.run(command)
else:
docker_compose_run(c, command, no_deps=no_deps) | def run_in_docker_or_locally_for_dinghy(c, command, no_deps=False):
'\n \n '
if c.dinghy:
with c.cd(c.project_directory):
c.run(command)
else:
docker_compose_run(c, command, no_deps=no_deps)<|docstring|>Mac users have a lot of problems running Yarn / Webpack on the Docker s... |
198eba22cb7138ec47700a5283c1fc0026b6c9030a93dd6c226d8c89f092a909 | def get_workers(c):
'\n Find worker containers for the current project\n '
cmd = c.run(('docker ps -a --filter "label=docker-starter.worker.%s" --quiet' % c.project_name), hide='both')
return list(filter(None, cmd.stdout.rsplit('\n'))) | Find worker containers for the current project | tasks.py | get_workers | jolicode/starfleet | 19 | python | def get_workers(c):
'\n \n '
cmd = c.run(('docker ps -a --filter "label=docker-starter.worker.%s" --quiet' % c.project_name), hide='both')
return list(filter(None, cmd.stdout.rsplit('\n'))) | def get_workers(c):
'\n \n '
cmd = c.run(('docker ps -a --filter "label=docker-starter.worker.%s" --quiet' % c.project_name), hide='both')
return list(filter(None, cmd.stdout.rsplit('\n')))<|docstring|>Find worker containers for the current project<|endoftext|> |
f6b6e67bad1d79f129cf00244d73a2c3229822ba1facf0d8a5373db7d0c05406 | def add_metric_obj(self, metric_obj):
"Add a metric to the check's performance data from an existing Metric object"
self.metrics.append(metric_obj) | Add a metric to the check's performance data from an existing Metric object | plugnpy/check.py | add_metric_obj | opsview/plugnpy | 1 | python | def add_metric_obj(self, metric_obj):
self.metrics.append(metric_obj) | def add_metric_obj(self, metric_obj):
self.metrics.append(metric_obj)<|docstring|>Add a metric to the check's performance data from an existing Metric object<|endoftext|> |
3fb0a3b1e8d41f2e4f4f8b1999f254e5c4f35a6d4b4adc9fc8636da2b45038e3 | def add_metric(self, name, value, unit='', warning_threshold=None, critical_threshold=None, display_format='{name} is {value}{unit}', display_in_perf=True, display_in_summary=True, display_name=None, convert_metric=None, si_bytes_conversion=False, summary_precision=2, perf_data_precision=2, message=''):
'Add a metr... | Add a metric to the check's performance data.
Keyword Arguments:
- name -- Name of the Metric
- value -- Value of the Metric (note: do not include unit of measure)
- unit -- Unit of Measure of the Metric
- warning_threshold -- Warning threshold for the Metric (default: '')
- see Monitoring Plugins Development Guid... | plugnpy/check.py | add_metric | opsview/plugnpy | 1 | python | def add_metric(self, name, value, unit=, warning_threshold=None, critical_threshold=None, display_format='{name} is {value}{unit}', display_in_perf=True, display_in_summary=True, display_name=None, convert_metric=None, si_bytes_conversion=False, summary_precision=2, perf_data_precision=2, message=):
'Add a metric t... | def add_metric(self, name, value, unit=, warning_threshold=None, critical_threshold=None, display_format='{name} is {value}{unit}', display_in_perf=True, display_in_summary=True, display_name=None, convert_metric=None, si_bytes_conversion=False, summary_precision=2, perf_data_precision=2, message=):
'Add a metric t... |
f827919a0ac94b02101af1b980c4c4e7533a39e178a238f752515dc47888c1b4 | def add_message(self, message):
'Add a message'
self.metrics[(- 1)].message = message | Add a message | plugnpy/check.py | add_message | opsview/plugnpy | 1 | python | def add_message(self, message):
self.metrics[(- 1)].message = message | def add_message(self, message):
self.metrics[(- 1)].message = message<|docstring|>Add a message<|endoftext|> |
31424e3ab30f174e5c3307efe306224beece3938b2bb69bbb05d21e20443dc8c | def exit(self, code, message):
'Exits with specified message and specified exit status.\n Note: existing messages and metrics are discarded.\n '
print('{0} {1} - {2}'.format(self.state_type, Check.STATUS[code], message))
sys.exit(code) | Exits with specified message and specified exit status.
Note: existing messages and metrics are discarded. | plugnpy/check.py | exit | opsview/plugnpy | 1 | python | def exit(self, code, message):
'Exits with specified message and specified exit status.\n Note: existing messages and metrics are discarded.\n '
print('{0} {1} - {2}'.format(self.state_type, Check.STATUS[code], message))
sys.exit(code) | def exit(self, code, message):
'Exits with specified message and specified exit status.\n Note: existing messages and metrics are discarded.\n '
print('{0} {1} - {2}'.format(self.state_type, Check.STATUS[code], message))
sys.exit(code)<|docstring|>Exits with specified message and specified exi... |
361f410bb0ceb2b31e1b7ce5e4f35d5f316591e17e95b32ae1de7a3fa2966a88 | def exit_ok(self, message):
'Exits with specified message and OK exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(0, message) | Exits with specified message and OK exit status.
Note: existing messages and metrics are discarded. | plugnpy/check.py | exit_ok | opsview/plugnpy | 1 | python | def exit_ok(self, message):
'Exits with specified message and OK exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(0, message) | def exit_ok(self, message):
'Exits with specified message and OK exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(0, message)<|docstring|>Exits with specified message and OK exit status.
Note: existing messages and metrics are discarded.<|endoftext|> |
135f04462de6a389199d963945ecb9efa3dcdcf377bc8cdd1463c5c0b6610d5b | def exit_warning(self, message):
'Exits with specified message and WARNING exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(1, message) | Exits with specified message and WARNING exit status.
Note: existing messages and metrics are discarded. | plugnpy/check.py | exit_warning | opsview/plugnpy | 1 | python | def exit_warning(self, message):
'Exits with specified message and WARNING exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(1, message) | def exit_warning(self, message):
'Exits with specified message and WARNING exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(1, message)<|docstring|>Exits with specified message and WARNING exit status.
Note: existing messages and metrics are discarded.<|endoftext|> |
6f3bf2c6bcc0afd70f42b634e10cfc588771667c19b36815d4854f64d1a9249c | def exit_critical(self, message):
'Exits with specified message and CRITICAL exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(2, message) | Exits with specified message and CRITICAL exit status.
Note: existing messages and metrics are discarded. | plugnpy/check.py | exit_critical | opsview/plugnpy | 1 | python | def exit_critical(self, message):
'Exits with specified message and CRITICAL exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(2, message) | def exit_critical(self, message):
'Exits with specified message and CRITICAL exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(2, message)<|docstring|>Exits with specified message and CRITICAL exit status.
Note: existing messages and metrics are discarded.<|endoftext|... |
0943ba9282dbfacdb39af97552146fecd2aabd169867a52f14a1d9fe8322e369 | def exit_unknown(self, message):
'Exits with specified message and UNKNOWN exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(3, message) | Exits with specified message and UNKNOWN exit status.
Note: existing messages and metrics are discarded. | plugnpy/check.py | exit_unknown | opsview/plugnpy | 1 | python | def exit_unknown(self, message):
'Exits with specified message and UNKNOWN exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(3, message) | def exit_unknown(self, message):
'Exits with specified message and UNKNOWN exit status.\n Note: existing messages and metrics are discarded.\n '
self.exit(3, message)<|docstring|>Exits with specified message and UNKNOWN exit status.
Note: existing messages and metrics are discarded.<|endoftext|> |
83b68d3209d383a7efafe9cabb592eb793cdf5e1afd05977a2ab7d609034ab52 | def final(self):
'Calculates the final check output and exit status, prints and exits with the appropriate code.'
human_results = [str(metric) for metric in self.metrics if metric.display_in_summary]
perf_results = [metric.perf_data for metric in self.metrics if metric.display_in_perf]
summary = '{0}{1}... | Calculates the final check output and exit status, prints and exits with the appropriate code. | plugnpy/check.py | final | opsview/plugnpy | 1 | python | def final(self):
human_results = [str(metric) for metric in self.metrics if metric.display_in_summary]
perf_results = [metric.perf_data for metric in self.metrics if metric.display_in_perf]
summary = '{0}{1}{2}'.format(self.sep.join(human_results), (' | ' if perf_results else ), ' '.join(perf_results))... | def final(self):
human_results = [str(metric) for metric in self.metrics if metric.display_in_summary]
perf_results = [metric.perf_data for metric in self.metrics if metric.display_in_perf]
summary = '{0}{1}{2}'.format(self.sep.join(human_results), (' | ' if perf_results else ), ' '.join(perf_results))... |
e1080e52dac044e0c02c91a468e3f3e54949d0e1337f5f81502cf997e9957fe6 | @classmethod
def from_regions(cls, regions, **kwargs):
'\n Initialize group from sequence of regions.\n '
regions = map(mundi.region, regions)
new = EpidemicCurve.from_region
return cls({r.id: new(r, **kwargs) for r in regions}) | Initialize group from sequence of regions. | pydemic/empirical/epidemiology_group.py | from_regions | GCES-Pydemic/pydemic | 0 | python | @classmethod
def from_regions(cls, regions, **kwargs):
'\n \n '
regions = map(mundi.region, regions)
new = EpidemicCurve.from_region
return cls({r.id: new(r, **kwargs) for r in regions}) | @classmethod
def from_regions(cls, regions, **kwargs):
'\n \n '
regions = map(mundi.region, regions)
new = EpidemicCurve.from_region
return cls({r.id: new(r, **kwargs) for r in regions})<|docstring|>Initialize group from sequence of regions.<|endoftext|> |
4b415c9bbc73640effc96867c0797f5c80c007c089f1464e41f13d84a9842a86 | @classmethod
def from_query(cls, *args, disease=None, params=None, **kwargs):
'\n Initialize group from a mundi region query.\n '
regions = mundi.regions(*args, **kwargs)
return cls.from_regions(regions.index, disease=disease, params=params) | Initialize group from a mundi region query. | pydemic/empirical/epidemiology_group.py | from_query | GCES-Pydemic/pydemic | 0 | python | @classmethod
def from_query(cls, *args, disease=None, params=None, **kwargs):
'\n \n '
regions = mundi.regions(*args, **kwargs)
return cls.from_regions(regions.index, disease=disease, params=params) | @classmethod
def from_query(cls, *args, disease=None, params=None, **kwargs):
'\n \n '
regions = mundi.regions(*args, **kwargs)
return cls.from_regions(regions.index, disease=disease, params=params)<|docstring|>Initialize group from a mundi region query.<|endoftext|> |
f8ab65dac0a3281315541fdd62da5135b72ae829efdd68bc4adfde0d2ae0b5fd | def experiment_fn(output_dir):
"Creates an experiment using Alexnet applied to Oxford's 17 Category Flower Dataset.\n\n References:\n * Alex Krizhevsky, Ilya Sutskever & Geoffrey E. Hinton. ImageNet Classification with\n Deep Convolutional Neural Networks. NIPS, 2012.\n * 17 Category Flower... | Creates an experiment using Alexnet applied to Oxford's 17 Category Flower Dataset.
References:
* Alex Krizhevsky, Ilya Sutskever & Geoffrey E. Hinton. ImageNet Classification with
Deep Convolutional Neural Networks. NIPS, 2012.
* 17 Category Flower Dataset. Maria-Elena Nilsback and Andrew Zisserman.
Lin... | examples/configs_examples/alexnet_flowers17.py | experiment_fn | chandu088/p | 0 | python | def experiment_fn(output_dir):
"Creates an experiment using Alexnet applied to Oxford's 17 Category Flower Dataset.\n\n References:\n * Alex Krizhevsky, Ilya Sutskever & Geoffrey E. Hinton. ImageNet Classification with\n Deep Convolutional Neural Networks. NIPS, 2012.\n * 17 Category Flower... | def experiment_fn(output_dir):
"Creates an experiment using Alexnet applied to Oxford's 17 Category Flower Dataset.\n\n References:\n * Alex Krizhevsky, Ilya Sutskever & Geoffrey E. Hinton. ImageNet Classification with\n Deep Convolutional Neural Networks. NIPS, 2012.\n * 17 Category Flower... |
39f05a8a88de11e5964a2d34eae3f5738f7418cedc58ec3cc8c7e8a0e74c8c53 | def current_user():
'\n 从session中获取当前用户id， 在数据库中找出用户数据\n '
uid = session.get('user_id')
if (uid is not None):
u = User.query.get(uid)
return u | 从session中获取当前用户id， 在数据库中找出用户数据 | routes/user.py | current_user | naturalwang/flask-blog | 0 | python | def current_user():
'\n \n '
uid = session.get('user_id')
if (uid is not None):
u = User.query.get(uid)
return u | def current_user():
'\n \n '
uid = session.get('user_id')
if (uid is not None):
u = User.query.get(uid)
return u<|docstring|>从session中获取当前用户id， 在数据库中找出用户数据<|endoftext|> |
46abb388a2a5d551755195d76c6c2b8a958331771de2e8c3f61251b75b12829c | def _helper_reraises_exception(ex):
'Pickle-able helper function for use by _guarded_task_generation.'
raise ex | Pickle-able helper function for use by _guarded_task_generation. | Lib/multiprocessing/pool.py | _helper_reraises_exception | tomKPZ/cpython | 52,316 | python | def _helper_reraises_exception(ex):
raise ex | def _helper_reraises_exception(ex):
raise ex<|docstring|>Pickle-able helper function for use by _guarded_task_generation.<|endoftext|> |
c1941aea94eacfe6a68cbf43bd05fe0165fd6c33fbd022a006bc03af0dc3450a | @staticmethod
def _join_exited_workers(pool):
'Cleanup after any worker processes which have exited due to reaching\n their specified lifetime. Returns True if any workers were cleaned up.\n '
cleaned = False
for i in reversed(range(len(pool))):
worker = pool[i]
if (worker.exi... | Cleanup after any worker processes which have exited due to reaching
their specified lifetime. Returns True if any workers were cleaned up. | Lib/multiprocessing/pool.py | _join_exited_workers | tomKPZ/cpython | 52,316 | python | @staticmethod
def _join_exited_workers(pool):
'Cleanup after any worker processes which have exited due to reaching\n their specified lifetime. Returns True if any workers were cleaned up.\n '
cleaned = False
for i in reversed(range(len(pool))):
worker = pool[i]
if (worker.exi... | @staticmethod
def _join_exited_workers(pool):
'Cleanup after any worker processes which have exited due to reaching\n their specified lifetime. Returns True if any workers were cleaned up.\n '
cleaned = False
for i in reversed(range(len(pool))):
worker = pool[i]
if (worker.exi... |
3ccfc2b8824e03899c620fed860967d8c37b26a4a733aaa71546c7f0e2b58130 | @staticmethod
def _repopulate_pool_static(ctx, Process, processes, pool, inqueue, outqueue, initializer, initargs, maxtasksperchild, wrap_exception):
'Bring the number of pool processes up to the specified number,\n for use after reaping workers which have exited.\n '
for i in range((processes - l... | Bring the number of pool processes up to the specified number,
for use after reaping workers which have exited. | Lib/multiprocessing/pool.py | _repopulate_pool_static | tomKPZ/cpython | 52,316 | python | @staticmethod
def _repopulate_pool_static(ctx, Process, processes, pool, inqueue, outqueue, initializer, initargs, maxtasksperchild, wrap_exception):
'Bring the number of pool processes up to the specified number,\n for use after reaping workers which have exited.\n '
for i in range((processes - l... | @staticmethod
def _repopulate_pool_static(ctx, Process, processes, pool, inqueue, outqueue, initializer, initargs, maxtasksperchild, wrap_exception):
'Bring the number of pool processes up to the specified number,\n for use after reaping workers which have exited.\n '
for i in range((processes - l... |
3c64c42a4f5700cd49837af1a87d33f5bacfc45b80a2953d41f214e3b668e918 | @staticmethod
def _maintain_pool(ctx, Process, processes, pool, inqueue, outqueue, initializer, initargs, maxtasksperchild, wrap_exception):
'Clean up any exited workers and start replacements for them.\n '
if Pool._join_exited_workers(pool):
Pool._repopulate_pool_static(ctx, Process, processes, ... | Clean up any exited workers and start replacements for them. | Lib/multiprocessing/pool.py | _maintain_pool | tomKPZ/cpython | 52,316 | python | @staticmethod
def _maintain_pool(ctx, Process, processes, pool, inqueue, outqueue, initializer, initargs, maxtasksperchild, wrap_exception):
'\n '
if Pool._join_exited_workers(pool):
Pool._repopulate_pool_static(ctx, Process, processes, pool, inqueue, outqueue, initializer, initargs, maxtasksperc... | @staticmethod
def _maintain_pool(ctx, Process, processes, pool, inqueue, outqueue, initializer, initargs, maxtasksperchild, wrap_exception):
'\n '
if Pool._join_exited_workers(pool):
Pool._repopulate_pool_static(ctx, Process, processes, pool, inqueue, outqueue, initializer, initargs, maxtasksperc... |
d3c8d548b828a913438cb4eed4b17a03dac8f65ae71d9447ec5c92b1e4bc759e | def apply(self, func, args=(), kwds={}):
'\n Equivalent of `func(*args, **kwds)`.\n Pool must be running.\n '
return self.apply_async(func, args, kwds).get() | Equivalent of `func(*args, **kwds)`.
Pool must be running. | Lib/multiprocessing/pool.py | apply | tomKPZ/cpython | 52,316 | python | def apply(self, func, args=(), kwds={}):
'\n Equivalent of `func(*args, **kwds)`.\n Pool must be running.\n '
return self.apply_async(func, args, kwds).get() | def apply(self, func, args=(), kwds={}):
'\n Equivalent of `func(*args, **kwds)`.\n Pool must be running.\n '
return self.apply_async(func, args, kwds).get()<|docstring|>Equivalent of `func(*args, **kwds)`.
Pool must be running.<|endoftext|> |
2fca1462109cbbe67b0285dbddb3fa4bead6046cdc3ea0017fc326f1dba6c6cc | def map(self, func, iterable, chunksize=None):
'\n Apply `func` to each element in `iterable`, collecting the results\n in a list that is returned.\n '
return self._map_async(func, iterable, mapstar, chunksize).get() | Apply `func` to each element in `iterable`, collecting the results
in a list that is returned. | Lib/multiprocessing/pool.py | map | tomKPZ/cpython | 52,316 | python | def map(self, func, iterable, chunksize=None):
'\n Apply `func` to each element in `iterable`, collecting the results\n in a list that is returned.\n '
return self._map_async(func, iterable, mapstar, chunksize).get() | def map(self, func, iterable, chunksize=None):
'\n Apply `func` to each element in `iterable`, collecting the results\n in a list that is returned.\n '
return self._map_async(func, iterable, mapstar, chunksize).get()<|docstring|>Apply `func` to each element in `iterable`, collecting the res... |
d39de38be68cca8f23a913dfb7ad89d8a80893d04cb0634854b1a2d115082ad9 | def starmap(self, func, iterable, chunksize=None):
'\n Like `map()` method but the elements of the `iterable` are expected to\n be iterables as well and will be unpacked as arguments. Hence\n `func` and (a, b) becomes func(a, b).\n '
return self._map_async(func, iterable, starmapstar... | Like `map()` method but the elements of the `iterable` are expected to
be iterables as well and will be unpacked as arguments. Hence
`func` and (a, b) becomes func(a, b). | Lib/multiprocessing/pool.py | starmap | tomKPZ/cpython | 52,316 | python | def starmap(self, func, iterable, chunksize=None):
'\n Like `map()` method but the elements of the `iterable` are expected to\n be iterables as well and will be unpacked as arguments. Hence\n `func` and (a, b) becomes func(a, b).\n '
return self._map_async(func, iterable, starmapstar... | def starmap(self, func, iterable, chunksize=None):
'\n Like `map()` method but the elements of the `iterable` are expected to\n be iterables as well and will be unpacked as arguments. Hence\n `func` and (a, b) becomes func(a, b).\n '
return self._map_async(func, iterable, starmapstar... |
1af3456263f4661a15285a9d7f19cc3abfa1a9d35a81d85788586f435acf9ee8 | def starmap_async(self, func, iterable, chunksize=None, callback=None, error_callback=None):
'\n Asynchronous version of `starmap()` method.\n '
return self._map_async(func, iterable, starmapstar, chunksize, callback, error_callback) | Asynchronous version of `starmap()` method. | Lib/multiprocessing/pool.py | starmap_async | tomKPZ/cpython | 52,316 | python | def starmap_async(self, func, iterable, chunksize=None, callback=None, error_callback=None):
'\n \n '
return self._map_async(func, iterable, starmapstar, chunksize, callback, error_callback) | def starmap_async(self, func, iterable, chunksize=None, callback=None, error_callback=None):
'\n \n '
return self._map_async(func, iterable, starmapstar, chunksize, callback, error_callback)<|docstring|>Asynchronous version of `starmap()` method.<|endoftext|> |
b63c23cab800832b09fbb7f58b41f6870faef6133a688d344eac36925f6bf7cc | def _guarded_task_generation(self, result_job, func, iterable):
'Provides a generator of tasks for imap and imap_unordered with\n appropriate handling for iterables which throw exceptions during\n iteration.'
try:
i = (- 1)
for (i, x) in enumerate(iterable):
(yield (res... | Provides a generator of tasks for imap and imap_unordered with
appropriate handling for iterables which throw exceptions during
iteration. | Lib/multiprocessing/pool.py | _guarded_task_generation | tomKPZ/cpython | 52,316 | python | def _guarded_task_generation(self, result_job, func, iterable):
'Provides a generator of tasks for imap and imap_unordered with\n appropriate handling for iterables which throw exceptions during\n iteration.'
try:
i = (- 1)
for (i, x) in enumerate(iterable):
(yield (res... | def _guarded_task_generation(self, result_job, func, iterable):
'Provides a generator of tasks for imap and imap_unordered with\n appropriate handling for iterables which throw exceptions during\n iteration.'
try:
i = (- 1)
for (i, x) in enumerate(iterable):
(yield (res... |
26271f09239e832c179e37d2f902bec80e9bad697aca25b8777c42daf74f4ea9 | def imap(self, func, iterable, chunksize=1):
'\n Equivalent of `map()` -- can be MUCH slower than `Pool.map()`.\n '
self._check_running()
if (chunksize == 1):
result = IMapIterator(self)
self._taskqueue.put((self._guarded_task_generation(result._job, func, iterable), result._se... | Equivalent of `map()` -- can be MUCH slower than `Pool.map()`. | Lib/multiprocessing/pool.py | imap | tomKPZ/cpython | 52,316 | python | def imap(self, func, iterable, chunksize=1):
'\n \n '
self._check_running()
if (chunksize == 1):
result = IMapIterator(self)
self._taskqueue.put((self._guarded_task_generation(result._job, func, iterable), result._set_length))
return result
else:
if (chunksi... | def imap(self, func, iterable, chunksize=1):
'\n \n '
self._check_running()
if (chunksize == 1):
result = IMapIterator(self)
self._taskqueue.put((self._guarded_task_generation(result._job, func, iterable), result._set_length))
return result
else:
if (chunksi... |
1d9b168550abb8aa6191750ca23b099348860646594dd417162fff824b866fea | def imap_unordered(self, func, iterable, chunksize=1):
'\n Like `imap()` method but ordering of results is arbitrary.\n '
self._check_running()
if (chunksize == 1):
result = IMapUnorderedIterator(self)
self._taskqueue.put((self._guarded_task_generation(result._job, func, iterab... | Like `imap()` method but ordering of results is arbitrary. | Lib/multiprocessing/pool.py | imap_unordered | tomKPZ/cpython | 52,316 | python | def imap_unordered(self, func, iterable, chunksize=1):
'\n \n '
self._check_running()
if (chunksize == 1):
result = IMapUnorderedIterator(self)
self._taskqueue.put((self._guarded_task_generation(result._job, func, iterable), result._set_length))
return result
else:
... | def imap_unordered(self, func, iterable, chunksize=1):
'\n \n '
self._check_running()
if (chunksize == 1):
result = IMapUnorderedIterator(self)
self._taskqueue.put((self._guarded_task_generation(result._job, func, iterable), result._set_length))
return result
else:
... |
a30d8e2748b6834d95c746c1c4bdcb19fed201ffb7ed3c2738a8eabc9b0b783d | def apply_async(self, func, args=(), kwds={}, callback=None, error_callback=None):
'\n Asynchronous version of `apply()` method.\n '
self._check_running()
result = ApplyResult(self, callback, error_callback)
self._taskqueue.put(([(result._job, 0, func, args, kwds)], None))
return resul... | Asynchronous version of `apply()` method. | Lib/multiprocessing/pool.py | apply_async | tomKPZ/cpython | 52,316 | python | def apply_async(self, func, args=(), kwds={}, callback=None, error_callback=None):
'\n \n '
self._check_running()
result = ApplyResult(self, callback, error_callback)
self._taskqueue.put(([(result._job, 0, func, args, kwds)], None))
return result | def apply_async(self, func, args=(), kwds={}, callback=None, error_callback=None):
'\n \n '
self._check_running()
result = ApplyResult(self, callback, error_callback)
self._taskqueue.put(([(result._job, 0, func, args, kwds)], None))
return result<|docstring|>Asynchronous version of `ap... |
3e14b0e8ad2dd7917ac1f5612f482ff90985bfa444e0fad8e23cd64877458b64 | def map_async(self, func, iterable, chunksize=None, callback=None, error_callback=None):
'\n Asynchronous version of `map()` method.\n '
return self._map_async(func, iterable, mapstar, chunksize, callback, error_callback) | Asynchronous version of `map()` method. | Lib/multiprocessing/pool.py | map_async | tomKPZ/cpython | 52,316 | python | def map_async(self, func, iterable, chunksize=None, callback=None, error_callback=None):
'\n \n '
return self._map_async(func, iterable, mapstar, chunksize, callback, error_callback) | def map_async(self, func, iterable, chunksize=None, callback=None, error_callback=None):
'\n \n '
return self._map_async(func, iterable, mapstar, chunksize, callback, error_callback)<|docstring|>Asynchronous version of `map()` method.<|endoftext|> |
88ebbf9f5183b9df6da970267162d50122f7ec0cc7f44d9fb07fe4390cc1b127 | def _map_async(self, func, iterable, mapper, chunksize=None, callback=None, error_callback=None):
'\n Helper function to implement map, starmap and their async counterparts.\n '
self._check_running()
if (not hasattr(iterable, '__len__')):
iterable = list(iterable)
if (chunksize is ... | Helper function to implement map, starmap and their async counterparts. | Lib/multiprocessing/pool.py | _map_async | tomKPZ/cpython | 52,316 | python | def _map_async(self, func, iterable, mapper, chunksize=None, callback=None, error_callback=None):
'\n \n '
self._check_running()
if (not hasattr(iterable, '__len__')):
iterable = list(iterable)
if (chunksize is None):
(chunksize, extra) = divmod(len(iterable), (len(self._po... | def _map_async(self, func, iterable, mapper, chunksize=None, callback=None, error_callback=None):
'\n \n '
self._check_running()
if (not hasattr(iterable, '__len__')):
iterable = list(iterable)
if (chunksize is None):
(chunksize, extra) = divmod(len(iterable), (len(self._po... |
44459c36ec73392e293f7e2e205f9c89ba98c289a14c19d9b603f7e7fdee0c09 | def forwards(self, orm):
'Write your forwards methods here.'
for channel in orm.Channel.objects.all():
lockstring = channel.db_lock_storage
lockstring = lockstring.replace('admin:', 'control:')
channel.db_lock_storage = lockstring
channel.save() | Write your forwards methods here. | src/comms/migrations/0004_changing_lock_comm_admin2control.py | forwards | reddcoin-project/ReddConnect | 2 | python | def forwards(self, orm):
for channel in orm.Channel.objects.all():
lockstring = channel.db_lock_storage
lockstring = lockstring.replace('admin:', 'control:')
channel.db_lock_storage = lockstring
channel.save() | def forwards(self, orm):
for channel in orm.Channel.objects.all():
lockstring = channel.db_lock_storage
lockstring = lockstring.replace('admin:', 'control:')
channel.db_lock_storage = lockstring
channel.save()<|docstring|>Write your forwards methods here.<|endoftext|> |
d07ccc3e5babb54c5c47209cad176fce3acbab200016ee07c4a6885f281181fd | def backwards(self, orm):
'Write your backwards methods here.'
for channel in orm.Channel.objects.all():
lockstring = channel.db_lock_storage
lockstring = lockstring.replace('control:', 'admin:')
channel.db_lock_storage = lockstring
channel.save() | Write your backwards methods here. | src/comms/migrations/0004_changing_lock_comm_admin2control.py | backwards | reddcoin-project/ReddConnect | 2 | python | def backwards(self, orm):
for channel in orm.Channel.objects.all():
lockstring = channel.db_lock_storage
lockstring = lockstring.replace('control:', 'admin:')
channel.db_lock_storage = lockstring
channel.save() | def backwards(self, orm):
for channel in orm.Channel.objects.all():
lockstring = channel.db_lock_storage
lockstring = lockstring.replace('control:', 'admin:')
channel.db_lock_storage = lockstring
channel.save()<|docstring|>Write your backwards methods here.<|endoftext|> |
c484ce345880bfd259ee7038e5f1806a77f187c22b15d620a17d60ccab118429 | def register_mujoco_environments():
'Register softlearning mujoco environments.'
for mujoco_environment in MUJOCO_ENVIRONMENT_SPECS:
gym.register(**mujoco_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in MUJOCO_ENVIRONMENT_SPECS))
return gym_ids | Register softlearning mujoco environments. | softlearning/environments/gym/__init__.py | register_mujoco_environments | nflu/softlearning | 0 | python | def register_mujoco_environments():
for mujoco_environment in MUJOCO_ENVIRONMENT_SPECS:
gym.register(**mujoco_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in MUJOCO_ENVIRONMENT_SPECS))
return gym_ids | def register_mujoco_environments():
for mujoco_environment in MUJOCO_ENVIRONMENT_SPECS:
gym.register(**mujoco_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in MUJOCO_ENVIRONMENT_SPECS))
return gym_ids<|docstring|>Register softlearning mujoco environments.<|endoftext|... |
f868faaf01774d3245f43a3162a5521e3a651e6179ab1224916cf12074b6b878 | def register_general_environments():
"Register gym environments that don't fall under a specific category."
for general_environment in GENERAL_ENVIRONMENT_SPECS:
gym.register(**general_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in GENERAL_ENVIRONMENT_SPECS))
return... | Register gym environments that don't fall under a specific category. | softlearning/environments/gym/__init__.py | register_general_environments | nflu/softlearning | 0 | python | def register_general_environments():
for general_environment in GENERAL_ENVIRONMENT_SPECS:
gym.register(**general_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in GENERAL_ENVIRONMENT_SPECS))
return gym_ids | def register_general_environments():
for general_environment in GENERAL_ENVIRONMENT_SPECS:
gym.register(**general_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in GENERAL_ENVIRONMENT_SPECS))
return gym_ids<|docstring|>Register gym environments that don't fall under a... |
a9677809e8d9b92675eebe59ba6ddb4e10125b6d9719e3037ca6220596d11b3f | def register_multiworld_environments():
'Register custom environments from multiworld package.'
for multiworld_environment in MULTIWORLD_ENVIRONMENT_SPECS:
gym.register(**multiworld_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in MULTIWORLD_ENVIRONMENT_SPECS))
return... | Register custom environments from multiworld package. | softlearning/environments/gym/__init__.py | register_multiworld_environments | nflu/softlearning | 0 | python | def register_multiworld_environments():
for multiworld_environment in MULTIWORLD_ENVIRONMENT_SPECS:
gym.register(**multiworld_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in MULTIWORLD_ENVIRONMENT_SPECS))
return gym_ids | def register_multiworld_environments():
for multiworld_environment in MULTIWORLD_ENVIRONMENT_SPECS:
gym.register(**multiworld_environment)
gym_ids = tuple((environment_spec['id'] for environment_spec in MULTIWORLD_ENVIRONMENT_SPECS))
return gym_ids<|docstring|>Register custom environments from ... |
74a17867325badc32f4ee8ab2e33a5c026582dfa030fc7d1a6c973726bd285d0 | def build_config(opt_level=2, required_pass=None, disabled_pass=None, trace=None):
'Configure the build behavior by setting config variables. This function\n will be deprecated in TVM v0.7. Instead, we should directly use\n tvm.transform.PassContext.\n\n Parameters\n ----------\n opt_level: int, opti... | Configure the build behavior by setting config variables. This function
will be deprecated in TVM v0.7. Instead, we should directly use
tvm.transform.PassContext.
Parameters
----------
opt_level: int, optional
Optimization level. The optimization pass name and level are as the
following:
.. code-block:: p... | python/tvm/relay/transform/transform.py | build_config | ryanstout/tvm | 2,084 | python | def build_config(opt_level=2, required_pass=None, disabled_pass=None, trace=None):
'Configure the build behavior by setting config variables. This function\n will be deprecated in TVM v0.7. Instead, we should directly use\n tvm.transform.PassContext.\n\n Parameters\n ----------\n opt_level: int, opti... | def build_config(opt_level=2, required_pass=None, disabled_pass=None, trace=None):
'Configure the build behavior by setting config variables. This function\n will be deprecated in TVM v0.7. Instead, we should directly use\n tvm.transform.PassContext.\n\n Parameters\n ----------\n opt_level: int, opti... |
115ffedf395eb19b8740d3a93e6e80d802af2538ce040bea59b39ed4b88b6c6f | def InferType():
'Infer the type of an expr.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered type inference pass.\n '
return _ffi_api.InferType() | Infer the type of an expr.
Returns
-------
ret : tvm.transform.Pass
The registered type inference pass. | python/tvm/relay/transform/transform.py | InferType | ryanstout/tvm | 2,084 | python | def InferType():
'Infer the type of an expr.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered type inference pass.\n '
return _ffi_api.InferType() | def InferType():
'Infer the type of an expr.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered type inference pass.\n '
return _ffi_api.InferType()<|docstring|>Infer the type of an expr.
Returns
-------
ret : tvm.transform.Pass
The registered type inference pass.<|endofte... |
981441dfddd88f2a00ed55c4424d60b895e9ea808355acdbd9819843031fc03b | def FoldScaleAxis():
'Fold the scaling of axis into weights of conv2d/dense. This pass will\n invoke both forward and backward scale folding.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to fold expressions.\n\n Note\n ----\n Internally, we will call backward_fo... | Fold the scaling of axis into weights of conv2d/dense. This pass will
invoke both forward and backward scale folding.
Returns
-------
ret : tvm.transform.Pass
The registered pass to fold expressions.
Note
----
Internally, we will call backward_fold_scale_axis before using
forward_fold_scale_axis as backward foldi... | python/tvm/relay/transform/transform.py | FoldScaleAxis | ryanstout/tvm | 2,084 | python | def FoldScaleAxis():
'Fold the scaling of axis into weights of conv2d/dense. This pass will\n invoke both forward and backward scale folding.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to fold expressions.\n\n Note\n ----\n Internally, we will call backward_fo... | def FoldScaleAxis():
'Fold the scaling of axis into weights of conv2d/dense. This pass will\n invoke both forward and backward scale folding.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to fold expressions.\n\n Note\n ----\n Internally, we will call backward_fo... |
1e5dc9bdedcce20121d7a0e04271b98a739eaa79b2e4347e5c0a0e6b3dc8204d | def BackwardFoldScaleAxis():
'Backward fold axis scaling into weights of conv2d/dense.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to backward fold expressions.\n\n Note\n ----\n It is recommended to call backward_fold_scale_axis\n before using forward_fold_sca... | Backward fold axis scaling into weights of conv2d/dense.
Returns
-------
ret : tvm.transform.Pass
The registered pass to backward fold expressions.
Note
----
It is recommended to call backward_fold_scale_axis
before using forward_fold_scale_axis as backward folding targets the common
conv->bn pattern. | python/tvm/relay/transform/transform.py | BackwardFoldScaleAxis | ryanstout/tvm | 2,084 | python | def BackwardFoldScaleAxis():
'Backward fold axis scaling into weights of conv2d/dense.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to backward fold expressions.\n\n Note\n ----\n It is recommended to call backward_fold_scale_axis\n before using forward_fold_sca... | def BackwardFoldScaleAxis():
'Backward fold axis scaling into weights of conv2d/dense.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to backward fold expressions.\n\n Note\n ----\n It is recommended to call backward_fold_scale_axis\n before using forward_fold_sca... |
f113c151ac98226c0b5f52ecff69e874ba74c1499297bcf1346502d95a48252b | def RemoveUnusedFunctions(entry_functions=None):
'Remove unused global relay functions in a relay module.\n\n Parameters\n ----------\n entry_functions: list[string]\n The set of entry functions to start from.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to ... | Remove unused global relay functions in a relay module.
Parameters
----------
entry_functions: list[string]
The set of entry functions to start from.
Returns
-------
ret : tvm.transform.Pass
The registered pass to remove unused functions. | python/tvm/relay/transform/transform.py | RemoveUnusedFunctions | ryanstout/tvm | 2,084 | python | def RemoveUnusedFunctions(entry_functions=None):
'Remove unused global relay functions in a relay module.\n\n Parameters\n ----------\n entry_functions: list[string]\n The set of entry functions to start from.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to ... | def RemoveUnusedFunctions(entry_functions=None):
'Remove unused global relay functions in a relay module.\n\n Parameters\n ----------\n entry_functions: list[string]\n The set of entry functions to start from.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to ... |
905f9e994c14d1a781d54d7fd75e285306e12f2866f94a94200fb8ab0af5124e | def ForwardFoldScaleAxis():
'Fold the scaling of axis into weights of conv2d/dense.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to forward fold expressions.\n\n Note\n ----\n It is recommended to call backward_fold_scale_axis\n before using forward_fold_scale_a... | Fold the scaling of axis into weights of conv2d/dense.
Returns
-------
ret : tvm.transform.Pass
The registered pass to forward fold expressions.
Note
----
It is recommended to call backward_fold_scale_axis
before using forward_fold_scale_axis, as backward folding targets the
common conv->bn pattern. | python/tvm/relay/transform/transform.py | ForwardFoldScaleAxis | ryanstout/tvm | 2,084 | python | def ForwardFoldScaleAxis():
'Fold the scaling of axis into weights of conv2d/dense.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to forward fold expressions.\n\n Note\n ----\n It is recommended to call backward_fold_scale_axis\n before using forward_fold_scale_a... | def ForwardFoldScaleAxis():
'Fold the scaling of axis into weights of conv2d/dense.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass to forward fold expressions.\n\n Note\n ----\n It is recommended to call backward_fold_scale_axis\n before using forward_fold_scale_a... |
db9609bded525bd7f0a471dca003ed6c8cbe2530247ea4018cc6f86c2f83ece2 | def SimplifyInference():
'Simplify the data-flow graph for inference phase. An simplified expression\n which is semantically equal to the input expression will be returned.\n\n Note that batch norms will only be simplified if their result is indexed at\n tuple index 0.\n\n Returns\n -------\n ret:... | Simplify the data-flow graph for inference phase. An simplified expression
which is semantically equal to the input expression will be returned.
Note that batch norms will only be simplified if their result is indexed at
tuple index 0.
Returns
-------
ret: tvm.transform.Pass
The registered pass to perform operato... | python/tvm/relay/transform/transform.py | SimplifyInference | ryanstout/tvm | 2,084 | python | def SimplifyInference():
'Simplify the data-flow graph for inference phase. An simplified expression\n which is semantically equal to the input expression will be returned.\n\n Note that batch norms will only be simplified if their result is indexed at\n tuple index 0.\n\n Returns\n -------\n ret:... | def SimplifyInference():
'Simplify the data-flow graph for inference phase. An simplified expression\n which is semantically equal to the input expression will be returned.\n\n Note that batch norms will only be simplified if their result is indexed at\n tuple index 0.\n\n Returns\n -------\n ret:... |
e997f4b7d0596c1f9a4a5ac974b7ee034fd08dbfd9ebc3eb0f26bc90b2011e1b | def FastMath():
'Converts the expensive non linear functions to their fast but approximate counterparts.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The registered pass to perform fast math operations.\n '
return _ffi_api.FastMath() | Converts the expensive non linear functions to their fast but approximate counterparts.
Returns
-------
ret: tvm.transform.Pass
The registered pass to perform fast math operations. | python/tvm/relay/transform/transform.py | FastMath | ryanstout/tvm | 2,084 | python | def FastMath():
'Converts the expensive non linear functions to their fast but approximate counterparts.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The registered pass to perform fast math operations.\n '
return _ffi_api.FastMath() | def FastMath():
'Converts the expensive non linear functions to their fast but approximate counterparts.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The registered pass to perform fast math operations.\n '
return _ffi_api.FastMath()<|docstring|>Converts the expensive non linear function... |
625956641230efb70ca5ce41e805d40c9e8f6daebad0c9669104daf873fa3888 | def CanonicalizeOps():
'Canonicalize special operators to basic operators.\n This can simplify followed analysis, e.g. expanding bias_add to\n expand_dims and broadcast_add.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The registered pass performing the canonicalization.\n '
return... | Canonicalize special operators to basic operators.
This can simplify followed analysis, e.g. expanding bias_add to
expand_dims and broadcast_add.
Returns
-------
ret: tvm.transform.Pass
The registered pass performing the canonicalization. | python/tvm/relay/transform/transform.py | CanonicalizeOps | ryanstout/tvm | 2,084 | python | def CanonicalizeOps():
'Canonicalize special operators to basic operators.\n This can simplify followed analysis, e.g. expanding bias_add to\n expand_dims and broadcast_add.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The registered pass performing the canonicalization.\n '
return... | def CanonicalizeOps():
'Canonicalize special operators to basic operators.\n This can simplify followed analysis, e.g. expanding bias_add to\n expand_dims and broadcast_add.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The registered pass performing the canonicalization.\n '
return... |
09675cd3535d64c1c8077bcac4535664ef8fbc7974e9145b2ce376a5fbf846b4 | def DeadCodeElimination(inline_once=False, ignore_impurity=False):
'Remove expressions that do not have any users (dead code).\n\n Parameters\n ----------\n inline_once: Optional[Bool]\n Whether to inline a binding that is referenced exactly once.\n ignore_impurity: Optional[Bool]\n Whethe... | Remove expressions that do not have any users (dead code).
Parameters
----------
inline_once: Optional[Bool]
Whether to inline a binding that is referenced exactly once.
ignore_impurity: Optional[Bool]
Whether to ignore possible side-effects in let-bound expressions.
Returns
-------
ret: tvm.transform.Pass
... | python/tvm/relay/transform/transform.py | DeadCodeElimination | ryanstout/tvm | 2,084 | python | def DeadCodeElimination(inline_once=False, ignore_impurity=False):
'Remove expressions that do not have any users (dead code).\n\n Parameters\n ----------\n inline_once: Optional[Bool]\n Whether to inline a binding that is referenced exactly once.\n ignore_impurity: Optional[Bool]\n Whethe... | def DeadCodeElimination(inline_once=False, ignore_impurity=False):
'Remove expressions that do not have any users (dead code).\n\n Parameters\n ----------\n inline_once: Optional[Bool]\n Whether to inline a binding that is referenced exactly once.\n ignore_impurity: Optional[Bool]\n Whethe... |
f85a5295b5efd7d4f1598d6bbb7664ff8a5cd3b3068668b930701fe4d5538916 | def LazyGradientInit():
'Reduces memory usage of gradient tensors\n\n Parameters\n ----------\n\n Returns\n -------\n ret: tvm.transform.Pass\n A pass which delays and/or reduces memory allocation,\n by lazily allocating 0 or one filled tensors.\n '
return _ffi_api.LazyGradientIn... | Reduces memory usage of gradient tensors
Parameters
----------
Returns
-------
ret: tvm.transform.Pass
A pass which delays and/or reduces memory allocation,
by lazily allocating 0 or one filled tensors. | python/tvm/relay/transform/transform.py | LazyGradientInit | ryanstout/tvm | 2,084 | python | def LazyGradientInit():
'Reduces memory usage of gradient tensors\n\n Parameters\n ----------\n\n Returns\n -------\n ret: tvm.transform.Pass\n A pass which delays and/or reduces memory allocation,\n by lazily allocating 0 or one filled tensors.\n '
return _ffi_api.LazyGradientIn... | def LazyGradientInit():
'Reduces memory usage of gradient tensors\n\n Parameters\n ----------\n\n Returns\n -------\n ret: tvm.transform.Pass\n A pass which delays and/or reduces memory allocation,\n by lazily allocating 0 or one filled tensors.\n '
return _ffi_api.LazyGradientIn... |
30de09dc9f1035668dc035706dff445963606a02e6603c70c6453ae8077875ad | def FoldConstantExpr(expr, mod):
'Fold the constant expressions in a Relay program.\n Parameters\n ----------\n expr: Expr\n The expression to fold\n mod: IRModule\n The module the expr lives in (for global calls)\n\n Returns\n -------\n new_expr: Expr\n The expr after Cons... | Fold the constant expressions in a Relay program.
Parameters
----------
expr: Expr
The expression to fold
mod: IRModule
The module the expr lives in (for global calls)
Returns
-------
new_expr: Expr
The expr after Constant Folding | python/tvm/relay/transform/transform.py | FoldConstantExpr | ryanstout/tvm | 2,084 | python | def FoldConstantExpr(expr, mod):
'Fold the constant expressions in a Relay program.\n Parameters\n ----------\n expr: Expr\n The expression to fold\n mod: IRModule\n The module the expr lives in (for global calls)\n\n Returns\n -------\n new_expr: Expr\n The expr after Cons... | def FoldConstantExpr(expr, mod):
'Fold the constant expressions in a Relay program.\n Parameters\n ----------\n expr: Expr\n The expression to fold\n mod: IRModule\n The module the expr lives in (for global calls)\n\n Returns\n -------\n new_expr: Expr\n The expr after Cons... |
d81c61e2c09d3f972ce3198bfcbfdb23980d4f4ae71d44b2dfa98a1802a84ce3 | def FoldConstant():
'Fold the constant expressions in a Relay program.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for constant folding.\n '
return _ffi_api.FoldConstant() | Fold the constant expressions in a Relay program.
Returns
-------
ret : tvm.transform.Pass
The registered pass for constant folding. | python/tvm/relay/transform/transform.py | FoldConstant | ryanstout/tvm | 2,084 | python | def FoldConstant():
'Fold the constant expressions in a Relay program.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for constant folding.\n '
return _ffi_api.FoldConstant() | def FoldConstant():
'Fold the constant expressions in a Relay program.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for constant folding.\n '
return _ffi_api.FoldConstant()<|docstring|>Fold the constant expressions in a Relay program.
Returns
-------
ret : tvm.trans... |
2988cc28473876109826d1005bf3a965300100e7f74d5e48c61d692f1746f5ba | def FuseOps(fuse_opt_level=(- 1)):
'Fuse operators in an expr to a larger operator according to some rules.\n\n Parameters\n ----------\n fuse_opt_level : int\n The level of fuse optimization. -1 indicates that the level will be\n inferred from pass context.\n\n Returns\n -------\n r... | Fuse operators in an expr to a larger operator according to some rules.
Parameters
----------
fuse_opt_level : int
The level of fuse optimization. -1 indicates that the level will be
inferred from pass context.
Returns
-------
ret : tvm.transform.Pass
The registered pass for operator fusion. | python/tvm/relay/transform/transform.py | FuseOps | ryanstout/tvm | 2,084 | python | def FuseOps(fuse_opt_level=(- 1)):
'Fuse operators in an expr to a larger operator according to some rules.\n\n Parameters\n ----------\n fuse_opt_level : int\n The level of fuse optimization. -1 indicates that the level will be\n inferred from pass context.\n\n Returns\n -------\n r... | def FuseOps(fuse_opt_level=(- 1)):
'Fuse operators in an expr to a larger operator according to some rules.\n\n Parameters\n ----------\n fuse_opt_level : int\n The level of fuse optimization. -1 indicates that the level will be\n inferred from pass context.\n\n Returns\n -------\n r... |
b1c909ad0baeb703b87dcb0e4b47def800633bfff77a2ccd2ed33f5fa40069e8 | def DefuseOps():
'The inverse operation of FuseOps. It transforms a fused program returned by FuseOps into the\n program before FuseOps. (i.e., x == DefuseOps(FuseOps(x)))\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for operator defusion.\n '
return _ffi_api.Defu... | The inverse operation of FuseOps. It transforms a fused program returned by FuseOps into the
program before FuseOps. (i.e., x == DefuseOps(FuseOps(x)))
Returns
-------
ret : tvm.transform.Pass
The registered pass for operator defusion. | python/tvm/relay/transform/transform.py | DefuseOps | ryanstout/tvm | 2,084 | python | def DefuseOps():
'The inverse operation of FuseOps. It transforms a fused program returned by FuseOps into the\n program before FuseOps. (i.e., x == DefuseOps(FuseOps(x)))\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for operator defusion.\n '
return _ffi_api.Defu... | def DefuseOps():
'The inverse operation of FuseOps. It transforms a fused program returned by FuseOps into the\n program before FuseOps. (i.e., x == DefuseOps(FuseOps(x)))\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for operator defusion.\n '
return _ffi_api.Defu... |
e484dce1e1e5734501033578d24043e97927f8ebf21f2748e75b5d134a29d2bf | def CombineParallelConv2D(min_num_branches=3):
'Combine multiple conv2d operators into one.\n\n Parameters\n ----------\n min_num_branches : int\n The minimum number of required parallel branches for performing this\n optimization.\n\n Returns\n -------\n ret: tvm.transform.Pass\n ... | Combine multiple conv2d operators into one.
Parameters
----------
min_num_branches : int
The minimum number of required parallel branches for performing this
optimization.
Returns
-------
ret: tvm.transform.Pass
The registered pass that combines parallel conv2d operators. | python/tvm/relay/transform/transform.py | CombineParallelConv2D | ryanstout/tvm | 2,084 | python | def CombineParallelConv2D(min_num_branches=3):
'Combine multiple conv2d operators into one.\n\n Parameters\n ----------\n min_num_branches : int\n The minimum number of required parallel branches for performing this\n optimization.\n\n Returns\n -------\n ret: tvm.transform.Pass\n ... | def CombineParallelConv2D(min_num_branches=3):
'Combine multiple conv2d operators into one.\n\n Parameters\n ----------\n min_num_branches : int\n The minimum number of required parallel branches for performing this\n optimization.\n\n Returns\n -------\n ret: tvm.transform.Pass\n ... |
4bf3545776068b94bbb0f1c25730eb94a9f77bb2a36c549fdb381a2293c608a5 | def CombineParallelDense(min_num_branches=3, to_batch=True):
'Combine multiple dense operators into one. For example:\n\n .. code-block\n data\n / dense (2,2) dense (2,2)\n | |\n elemwise/bcast (2,2) elemwise/bcast (2,2... | Combine multiple dense operators into one. For example:
.. code-block
data
/ dense (2,2) dense (2,2)
| |
elemwise/bcast (2,2) elemwise/bcast (2,2)
Would become:
.. code-block
data
|
batch_matmul+elemwis... | python/tvm/relay/transform/transform.py | CombineParallelDense | ryanstout/tvm | 2,084 | python | def CombineParallelDense(min_num_branches=3, to_batch=True):
'Combine multiple dense operators into one. For example:\n\n .. code-block\n data\n / dense (2,2) dense (2,2)\n | |\n elemwise/bcast (2,2) elemwise/bcast (2,2... | def CombineParallelDense(min_num_branches=3, to_batch=True):
'Combine multiple dense operators into one. For example:\n\n .. code-block\n data\n / dense (2,2) dense (2,2)\n | |\n elemwise/bcast (2,2) elemwise/bcast (2,2... |
46b833f561047d351619e98912b90bcd54971d3c10378cbef461a60a2f638176 | def CombineParallelBatchMatmul(min_num_branches=3):
'Combine multiple batch matmul operators into one. For example:\n\n .. code-block\n data (1, 2, 3)\n / batch_matmul(data, (1, 4, 3)) batch_matmul(data, (1, 5, 3))\n | ... | Combine multiple batch matmul operators into one. For example:
.. code-block
data (1, 2, 3)
/ batch_matmul(data, (1, 4, 3)) batch_matmul(data, (1, 5, 3))
| |
elemwise/bcast (1, 2, 4) elemwise/bc... | python/tvm/relay/transform/transform.py | CombineParallelBatchMatmul | ryanstout/tvm | 2,084 | python | def CombineParallelBatchMatmul(min_num_branches=3):
'Combine multiple batch matmul operators into one. For example:\n\n .. code-block\n data (1, 2, 3)\n / batch_matmul(data, (1, 4, 3)) batch_matmul(data, (1, 5, 3))\n | ... | def CombineParallelBatchMatmul(min_num_branches=3):
'Combine multiple batch matmul operators into one. For example:\n\n .. code-block\n data (1, 2, 3)\n / batch_matmul(data, (1, 4, 3)) batch_matmul(data, (1, 5, 3))\n | ... |
570d091df3999fe615544da69e3832b14d8cd95e4551b63187d3cbba48e8f105 | def BatchingOps():
'Batching parallel operators into one for Conv2D, Dense and BatchMatmul.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The sequential pass which apply batching for different operator types.\n '
return tvm.transform.Sequential([CombineParallelConv2D(), CombineParallelDen... | Batching parallel operators into one for Conv2D, Dense and BatchMatmul.
Returns
-------
ret: tvm.transform.Pass
The sequential pass which apply batching for different operator types. | python/tvm/relay/transform/transform.py | BatchingOps | ryanstout/tvm | 2,084 | python | def BatchingOps():
'Batching parallel operators into one for Conv2D, Dense and BatchMatmul.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The sequential pass which apply batching for different operator types.\n '
return tvm.transform.Sequential([CombineParallelConv2D(), CombineParallelDen... | def BatchingOps():
'Batching parallel operators into one for Conv2D, Dense and BatchMatmul.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The sequential pass which apply batching for different operator types.\n '
return tvm.transform.Sequential([CombineParallelConv2D(), CombineParallelDen... |
7da211ded90a8b449b03a67c7456131d89f1995ceeaf2c182e5313892854a0e5 | def AlterOpLayout():
'Alternate the layouts of operators or replace primitive operators with\n other expressions.\n This pass can be used for computing convolution in custom layouts or\n other general weight pre-transformation.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The register... | Alternate the layouts of operators or replace primitive operators with
other expressions.
This pass can be used for computing convolution in custom layouts or
other general weight pre-transformation.
Returns
-------
ret : tvm.transform.Pass
The registered pass that alters the layout of operators. | python/tvm/relay/transform/transform.py | AlterOpLayout | ryanstout/tvm | 2,084 | python | def AlterOpLayout():
'Alternate the layouts of operators or replace primitive operators with\n other expressions.\n This pass can be used for computing convolution in custom layouts or\n other general weight pre-transformation.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The register... | def AlterOpLayout():
'Alternate the layouts of operators or replace primitive operators with\n other expressions.\n This pass can be used for computing convolution in custom layouts or\n other general weight pre-transformation.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The register... |
2abccd61482fe59a0b68773c36b332752ca2e46d37ab8dfd4e4ee6847df13c4e | def ConvertLayout(desired_layouts):
'Given a dest layout, this pass transforms the expr such that most of the ops input data\n layout is changed to the dest layout. In ideal situation, there are only 2 layout transforms,\n one at the start and one at the end.\n\n This pass is not a part of relay.build and ... | Given a dest layout, this pass transforms the expr such that most of the ops input data
layout is changed to the dest layout. In ideal situation, there are only 2 layout transforms,
one at the start and one at the end.
This pass is not a part of relay.build and is expected to be called between framework-relay
parser a... | python/tvm/relay/transform/transform.py | ConvertLayout | ryanstout/tvm | 2,084 | python | def ConvertLayout(desired_layouts):
'Given a dest layout, this pass transforms the expr such that most of the ops input data\n layout is changed to the dest layout. In ideal situation, there are only 2 layout transforms,\n one at the start and one at the end.\n\n This pass is not a part of relay.build and ... | def ConvertLayout(desired_layouts):
'Given a dest layout, this pass transforms the expr such that most of the ops input data\n layout is changed to the dest layout. In ideal situation, there are only 2 layout transforms,\n one at the start and one at the end.\n\n This pass is not a part of relay.build and ... |
d420744fb9853efc03870637d115c6c70f371dd12ba23777ba2e3fad9881ce64 | def Legalize(legalize_map_attr_name='FTVMLegalize'):
"Legalizes an expression with another expression.\n This pass can be used to replace an expr with another expr for target\n dependent optimizations. For example, one expr, though semnatically\n equivalent to the other, can have better performance on a ta... | Legalizes an expression with another expression.
This pass can be used to replace an expr with another expr for target
dependent optimizations. For example, one expr, though semnatically
equivalent to the other, can have better performance on a target. This pass
can be used to legalize the expr in a target-dependent ma... | python/tvm/relay/transform/transform.py | Legalize | ryanstout/tvm | 2,084 | python | def Legalize(legalize_map_attr_name='FTVMLegalize'):
"Legalizes an expression with another expression.\n This pass can be used to replace an expr with another expr for target\n dependent optimizations. For example, one expr, though semnatically\n equivalent to the other, can have better performance on a ta... | def Legalize(legalize_map_attr_name='FTVMLegalize'):
"Legalizes an expression with another expression.\n This pass can be used to replace an expr with another expr for target\n dependent optimizations. For example, one expr, though semnatically\n equivalent to the other, can have better performance on a ta... |
4c181262edd2c26464714761f5608bd4ebabf078ded29eec6ef3354421ff6036 | def MergeComposite(pattern_table):
"Merge multiple operators into a single composite relay function.\n\n Parameters\n ----------\n pattern_table : List[Tuple[str, tvm.relay.dataflow_pattern.DFPattern, Function]]\n A list of (pattern_name, pattern, check) tuples.\n The order of the patterns in... | Merge multiple operators into a single composite relay function.
Parameters
----------
pattern_table : List[Tuple[str, tvm.relay.dataflow_pattern.DFPattern, Function]]
A list of (pattern_name, pattern, check) tuples.
The order of the patterns in the list will determine the order
of priority in which they a... | python/tvm/relay/transform/transform.py | MergeComposite | ryanstout/tvm | 2,084 | python | def MergeComposite(pattern_table):
"Merge multiple operators into a single composite relay function.\n\n Parameters\n ----------\n pattern_table : List[Tuple[str, tvm.relay.dataflow_pattern.DFPattern, Function]]\n A list of (pattern_name, pattern, check) tuples.\n The order of the patterns in... | def MergeComposite(pattern_table):
"Merge multiple operators into a single composite relay function.\n\n Parameters\n ----------\n pattern_table : List[Tuple[str, tvm.relay.dataflow_pattern.DFPattern, Function]]\n A list of (pattern_name, pattern, check) tuples.\n The order of the patterns in... |
88d938f1f8638ca6d7f76be7b1c20d20522849aa293bf455dd72fa605cf7dd3a | def MergeCompilerRegions():
'Merge together compiler regions.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that merges compiler regions.\n '
return _ffi_api.MergeCompilerRegions() | Merge together compiler regions.
Returns
-------
ret : tvm.transform.Pass
The registered pass that merges compiler regions. | python/tvm/relay/transform/transform.py | MergeCompilerRegions | ryanstout/tvm | 2,084 | python | def MergeCompilerRegions():
'Merge together compiler regions.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that merges compiler regions.\n '
return _ffi_api.MergeCompilerRegions() | def MergeCompilerRegions():
'Merge together compiler regions.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that merges compiler regions.\n '
return _ffi_api.MergeCompilerRegions()<|docstring|>Merge together compiler regions.
Returns
-------
ret : tvm.transform.Pass
... |
750fcb2cf12f9980201a0d17c1921e51c79b0690f987b90d688efa42bab39742 | def ToANormalForm():
"Turn Graph Normal Form expression into A Normal Form Expression.\n The scope of the root expression is the global scope.\n The scope of any non root expression is the least common ancestor of all it's scope.\n Values are ordered by post-DFS order in each scope.\n\n Returns\n ---... | Turn Graph Normal Form expression into A Normal Form Expression.
The scope of the root expression is the global scope.
The scope of any non root expression is the least common ancestor of all it's scope.
Values are ordered by post-DFS order in each scope.
Returns
-------
ret : Union[tvm.transform.Pass, tvm.relay.Expr]... | python/tvm/relay/transform/transform.py | ToANormalForm | ryanstout/tvm | 2,084 | python | def ToANormalForm():
"Turn Graph Normal Form expression into A Normal Form Expression.\n The scope of the root expression is the global scope.\n The scope of any non root expression is the least common ancestor of all it's scope.\n Values are ordered by post-DFS order in each scope.\n\n Returns\n ---... | def ToANormalForm():
"Turn Graph Normal Form expression into A Normal Form Expression.\n The scope of the root expression is the global scope.\n The scope of any non root expression is the least common ancestor of all it's scope.\n Values are ordered by post-DFS order in each scope.\n\n Returns\n ---... |
f1231ad5fb262d4cb04418e8b1c0322266ab8672cf4f3ea6b5b995e8c3c1b37e | def ToANormalFormExpr(e):
'ToANormalForm, but on expression level.\n\n Parameters\n ----------\n e : Expr\n The graph expression.\n\n Returns\n -------\n ret : Expr\n The transformed expresion.\n '
return _ffi_api.ToANormalFormExpr(e) | ToANormalForm, but on expression level.
Parameters
----------
e : Expr
The graph expression.
Returns
-------
ret : Expr
The transformed expresion. | python/tvm/relay/transform/transform.py | ToANormalFormExpr | ryanstout/tvm | 2,084 | python | def ToANormalFormExpr(e):
'ToANormalForm, but on expression level.\n\n Parameters\n ----------\n e : Expr\n The graph expression.\n\n Returns\n -------\n ret : Expr\n The transformed expresion.\n '
return _ffi_api.ToANormalFormExpr(e) | def ToANormalFormExpr(e):
'ToANormalForm, but on expression level.\n\n Parameters\n ----------\n e : Expr\n The graph expression.\n\n Returns\n -------\n ret : Expr\n The transformed expresion.\n '
return _ffi_api.ToANormalFormExpr(e)<|docstring|>ToANormalForm, but on expressi... |
bf45c26f6ce8abfe2313fb569e8152f453dc459fa46cadab09444b222bd9b5af | def ToBasicBlockNormalForm():
'Turn an expression to Basic Block Normal Form.\n We define a block as a group of expressions implied by the scope structure.\n Each graph node can only belong to a single block.\n For any value that is being used in multiple blocks, it has to be referred\n by a Var which i... | Turn an expression to Basic Block Normal Form.
We define a block as a group of expressions implied by the scope structure.
Each graph node can only belong to a single block.
For any value that is being used in multiple blocks, it has to be referred
by a Var which is defined in a block, whose scope is the least common a... | python/tvm/relay/transform/transform.py | ToBasicBlockNormalForm | ryanstout/tvm | 2,084 | python | def ToBasicBlockNormalForm():
'Turn an expression to Basic Block Normal Form.\n We define a block as a group of expressions implied by the scope structure.\n Each graph node can only belong to a single block.\n For any value that is being used in multiple blocks, it has to be referred\n by a Var which i... | def ToBasicBlockNormalForm():
'Turn an expression to Basic Block Normal Form.\n We define a block as a group of expressions implied by the scope structure.\n Each graph node can only belong to a single block.\n For any value that is being used in multiple blocks, it has to be referred\n by a Var which i... |
ef6db505eabe47bbf60602f50018ef9f1957f885d482ce0b9b4549adc677e897 | def ToCPS(expr, mod=None):
'\n Turn expression into continuation passing style(CPS).\n\n Every intermediate compute will be passed to a continuation.\n\n Returns\n -------\n result: tvm.transform.Pass\n The registered pass that transforms an expression into CPS.\n '
return _ffi_api.to_c... | Turn expression into continuation passing style(CPS).
Every intermediate compute will be passed to a continuation.
Returns
-------
result: tvm.transform.Pass
The registered pass that transforms an expression into CPS. | python/tvm/relay/transform/transform.py | ToCPS | ryanstout/tvm | 2,084 | python | def ToCPS(expr, mod=None):
'\n Turn expression into continuation passing style(CPS).\n\n Every intermediate compute will be passed to a continuation.\n\n Returns\n -------\n result: tvm.transform.Pass\n The registered pass that transforms an expression into CPS.\n '
return _ffi_api.to_c... | def ToCPS(expr, mod=None):
'\n Turn expression into continuation passing style(CPS).\n\n Every intermediate compute will be passed to a continuation.\n\n Returns\n -------\n result: tvm.transform.Pass\n The registered pass that transforms an expression into CPS.\n '
return _ffi_api.to_c... |
28eece49ac3c359d7da65e31ae75d4e395600c5500cd0be7c15141591da1c613 | def EtaExpand(expand_constructor=False, expand_global_var=False):
'Add abstraction over a constructor or global variable bound to a function\n\n Parameters\n ----------\n expand_constructor: bool\n Whether to expand constructors.\n\n expand_global_var: bool\n Whether to expand global varia... | Add abstraction over a constructor or global variable bound to a function
Parameters
----------
expand_constructor: bool
Whether to expand constructors.
expand_global_var: bool
Whether to expand global variables.
Returns
-------
ret: tvm.transform.Pass
The registered pass that eta expands an expression. | python/tvm/relay/transform/transform.py | EtaExpand | ryanstout/tvm | 2,084 | python | def EtaExpand(expand_constructor=False, expand_global_var=False):
'Add abstraction over a constructor or global variable bound to a function\n\n Parameters\n ----------\n expand_constructor: bool\n Whether to expand constructors.\n\n expand_global_var: bool\n Whether to expand global varia... | def EtaExpand(expand_constructor=False, expand_global_var=False):
'Add abstraction over a constructor or global variable bound to a function\n\n Parameters\n ----------\n expand_constructor: bool\n Whether to expand constructors.\n\n expand_global_var: bool\n Whether to expand global varia... |
ff42b8aea15fe85a462f463fa320a4b08c6f1258b9f8d45e5226d5bd73394543 | def ToGraphNormalForm():
'Turn a Relay program in A Normal Form into Graph Normal Form\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that transforms an expression into Graph Normal Form.\n '
return _ffi_api.ToGraphNormalForm() | Turn a Relay program in A Normal Form into Graph Normal Form
Returns
-------
ret : tvm.transform.Pass
The registered pass that transforms an expression into Graph Normal Form. | python/tvm/relay/transform/transform.py | ToGraphNormalForm | ryanstout/tvm | 2,084 | python | def ToGraphNormalForm():
'Turn a Relay program in A Normal Form into Graph Normal Form\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that transforms an expression into Graph Normal Form.\n '
return _ffi_api.ToGraphNormalForm() | def ToGraphNormalForm():
'Turn a Relay program in A Normal Form into Graph Normal Form\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that transforms an expression into Graph Normal Form.\n '
return _ffi_api.ToGraphNormalForm()<|docstring|>Turn a Relay program in A Nor... |
be0613ec5f58ecab6b68791dda1ed06361efbc43487dbfdaa893e5c04c04080b | def EliminateCommonSubexpr(fskip=None):
'Eliminate common subexpressions.\n\n Parameters\n ----------\n fskip: Callable\n The callback function that decides whether an expression should be\n skipped.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that e... | Eliminate common subexpressions.
Parameters
----------
fskip: Callable
The callback function that decides whether an expression should be
skipped.
Returns
-------
ret : tvm.transform.Pass
The registered pass that eliminates common subexpressions. | python/tvm/relay/transform/transform.py | EliminateCommonSubexpr | ryanstout/tvm | 2,084 | python | def EliminateCommonSubexpr(fskip=None):
'Eliminate common subexpressions.\n\n Parameters\n ----------\n fskip: Callable\n The callback function that decides whether an expression should be\n skipped.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that e... | def EliminateCommonSubexpr(fskip=None):
'Eliminate common subexpressions.\n\n Parameters\n ----------\n fskip: Callable\n The callback function that decides whether an expression should be\n skipped.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that e... |
7e6b22d6efa8577169e6ece8d2c9f08670188f3dc79e0e4a29e810f6f66f28a5 | def PartialEvaluate():
'Evaluate the static fragment of the code.\n\n Note\n ----\n This transformation could be either `Module -> Module` or `Expr -> Expr`.\n It will directly transform the input expression to a new one if the target\n expression is provided. Otherwise, it will rely on the pass mana... | Evaluate the static fragment of the code.
Note
----
This transformation could be either `Module -> Module` or `Expr -> Expr`.
It will directly transform the input expression to a new one if the target
expression is provided. Otherwise, it will rely on the pass manager to
carry out transformation.
Returns
-------
ret:... | python/tvm/relay/transform/transform.py | PartialEvaluate | ryanstout/tvm | 2,084 | python | def PartialEvaluate():
'Evaluate the static fragment of the code.\n\n Note\n ----\n This transformation could be either `Module -> Module` or `Expr -> Expr`.\n It will directly transform the input expression to a new one if the target\n expression is provided. Otherwise, it will rely on the pass mana... | def PartialEvaluate():
'Evaluate the static fragment of the code.\n\n Note\n ----\n This transformation could be either `Module -> Module` or `Expr -> Expr`.\n It will directly transform the input expression to a new one if the target\n expression is provided. Otherwise, it will rely on the pass mana... |
a0b46e1bc2a094d3bc671c51556c77f953aab251232502048d73a6fe33261508 | def CanonicalizeCast():
'\n Canonicalize cast expressions to make operator fusion more efficient.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that canonicalizes cast expression.\n '
return _ffi_api.CanonicalizeCast() | Canonicalize cast expressions to make operator fusion more efficient.
Returns
-------
ret : tvm.transform.Pass
The registered pass that canonicalizes cast expression. | python/tvm/relay/transform/transform.py | CanonicalizeCast | ryanstout/tvm | 2,084 | python | def CanonicalizeCast():
'\n Canonicalize cast expressions to make operator fusion more efficient.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that canonicalizes cast expression.\n '
return _ffi_api.CanonicalizeCast() | def CanonicalizeCast():
'\n Canonicalize cast expressions to make operator fusion more efficient.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that canonicalizes cast expression.\n '
return _ffi_api.CanonicalizeCast()<|docstring|>Canonicalize cast expressions to m... |
bcb2a0fb3ed792b5df7c76afc8b007723bca703b6dd73e8e60e359b9468eb2e4 | def LambdaLift():
'\n Lift the closure to global function.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that lifts the lambda function.\n '
return _ffi_api.LambdaLift() | Lift the closure to global function.
Returns
-------
ret : tvm.transform.Pass
The registered pass that lifts the lambda function. | python/tvm/relay/transform/transform.py | LambdaLift | ryanstout/tvm | 2,084 | python | def LambdaLift():
'\n Lift the closure to global function.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that lifts the lambda function.\n '
return _ffi_api.LambdaLift() | def LambdaLift():
'\n Lift the closure to global function.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass that lifts the lambda function.\n '
return _ffi_api.LambdaLift()<|docstring|>Lift the closure to global function.
Returns
-------
ret : tvm.transform.Pass
... |
8cca06485b237a836d3f37f6ba509c665872483ced9a10f4ef83d4c7853dc482 | def PartitionGraph(mod_name='default', bind_constants=True):
'Partition a Relay program into regions that can be executed on different\n backends.\n\n Parameters\n ----------\n mod_name : string\n Controls the prefix of the name of each partitioned subraph.\n If `mod_name` is None, then `t... | Partition a Relay program into regions that can be executed on different
backends.
Parameters
----------
mod_name : string
Controls the prefix of the name of each partitioned subraph.
If `mod_name` is None, then `tvmgen_` prefix is used.
Otherwise, `tvmgen_mod_name_` prefix is used.
bind_constants: bool
... | python/tvm/relay/transform/transform.py | PartitionGraph | ryanstout/tvm | 2,084 | python | def PartitionGraph(mod_name='default', bind_constants=True):
'Partition a Relay program into regions that can be executed on different\n backends.\n\n Parameters\n ----------\n mod_name : string\n Controls the prefix of the name of each partitioned subraph.\n If `mod_name` is None, then `t... | def PartitionGraph(mod_name='default', bind_constants=True):
'Partition a Relay program into regions that can be executed on different\n backends.\n\n Parameters\n ----------\n mod_name : string\n Controls the prefix of the name of each partitioned subraph.\n If `mod_name` is None, then `t... |
591cee9e53b1e4845d251302026e0aa0e811b20cedf7bf06f25a2d272471cb57 | def AnnotateTarget(targets, include_non_call_ops=True):
'Annotate ops in an experession with a provied compiler/target and then\n use it for codegen.\n\n Parameters\n ----------\n targets : str or List[str]\n The list of target compilers used for codegen.\n include_non_call_ops : boolean\n ... | Annotate ops in an experession with a provied compiler/target and then
use it for codegen.
Parameters
----------
targets : str or List[str]
The list of target compilers used for codegen.
include_non_call_ops : boolean
If True then non-call ops also will be annotated with targets
If False then non-call ops ... | python/tvm/relay/transform/transform.py | AnnotateTarget | ryanstout/tvm | 2,084 | python | def AnnotateTarget(targets, include_non_call_ops=True):
'Annotate ops in an experession with a provied compiler/target and then\n use it for codegen.\n\n Parameters\n ----------\n targets : str or List[str]\n The list of target compilers used for codegen.\n include_non_call_ops : boolean\n ... | def AnnotateTarget(targets, include_non_call_ops=True):
'Annotate ops in an experession with a provied compiler/target and then\n use it for codegen.\n\n Parameters\n ----------\n targets : str or List[str]\n The list of target compilers used for codegen.\n include_non_call_ops : boolean\n ... |
d5881bb56504386455de5e309dde66d100224556fcbc1b7e022c03b932eb6722 | def DynamicToStatic():
'If possible, convert tvm.relay.dynamic* ops to static versions\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for dynamic->static conversion.\n '
return _ffi_api.DynamicToStatic() | If possible, convert tvm.relay.dynamic* ops to static versions
Returns
-------
ret : tvm.transform.Pass
The registered pass for dynamic->static conversion. | python/tvm/relay/transform/transform.py | DynamicToStatic | ryanstout/tvm | 2,084 | python | def DynamicToStatic():
'If possible, convert tvm.relay.dynamic* ops to static versions\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for dynamic->static conversion.\n '
return _ffi_api.DynamicToStatic() | def DynamicToStatic():
'If possible, convert tvm.relay.dynamic* ops to static versions\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered pass for dynamic->static conversion.\n '
return _ffi_api.DynamicToStatic()<|docstring|>If possible, convert tvm.relay.dynamic* ops to static... |
e41eb81ba196e0e5e2377a95e3233ab6cb9b15ee0559568f3270fec8865527d9 | def Inline():
'Perform inlining on the given Relay IR module. The global functions that\n are marked as `inline` should be always inlined. A cost model will be\n needed in the future to decide if it is profitable to inline the function.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The reg... | Perform inlining on the given Relay IR module. The global functions that
are marked as `inline` should be always inlined. A cost model will be
needed in the future to decide if it is profitable to inline the function.
Returns
-------
ret: tvm.transform.Pass
The registered pass that performs inlining for a Relay IR... | python/tvm/relay/transform/transform.py | Inline | ryanstout/tvm | 2,084 | python | def Inline():
'Perform inlining on the given Relay IR module. The global functions that\n are marked as `inline` should be always inlined. A cost model will be\n needed in the future to decide if it is profitable to inline the function.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The reg... | def Inline():
'Perform inlining on the given Relay IR module. The global functions that\n are marked as `inline` should be always inlined. A cost model will be\n needed in the future to decide if it is profitable to inline the function.\n\n Returns\n -------\n ret: tvm.transform.Pass\n The reg... |
14e2fd2cbb5c656b09f730fd195baaa764987e6ae9d0384fcfbff9ef6483d66b | def gradient(expr, mod=None, mode='higher_order'):
"\n Transform the input function,\n returning a function that calculate the original result,\n paired with gradient of the input.\n\n Parameters\n ----------\n expr : tvm.relay.Expr\n The input expression, which is a Function or a GlobalVar... | Transform the input function,
returning a function that calculate the original result,
paired with gradient of the input.
Parameters
----------
expr : tvm.relay.Expr
The input expression, which is a Function or a GlobalVar.
mod : Optional[tvm.IRModule]
mode : Optional[String]
The mode of the automatic differ... | python/tvm/relay/transform/transform.py | gradient | ryanstout/tvm | 2,084 | python | def gradient(expr, mod=None, mode='higher_order'):
"\n Transform the input function,\n returning a function that calculate the original result,\n paired with gradient of the input.\n\n Parameters\n ----------\n expr : tvm.relay.Expr\n The input expression, which is a Function or a GlobalVar... | def gradient(expr, mod=None, mode='higher_order'):
"\n Transform the input function,\n returning a function that calculate the original result,\n paired with gradient of the input.\n\n Parameters\n ----------\n expr : tvm.relay.Expr\n The input expression, which is a Function or a GlobalVar... |
5844eac2ab3498f6ffca120bb0e20550f13963694688c7f91e6162d1e230253b | def FirstOrderGradient():
'\n Transforms all global functions in the module to return the original result, paired with the\n gradients of the inputs. This pass transforms each global function independently and does not\n support interprocedural AD. Additionally, this pass does not support any control-flow ... | Transforms all global functions in the module to return the original result, paired with the
gradients of the inputs. This pass transforms each global function independently and does not
support interprocedural AD. Additionally, this pass does not support any control-flow or
references, and should only be used on pure ... | python/tvm/relay/transform/transform.py | FirstOrderGradient | ryanstout/tvm | 2,084 | python | def FirstOrderGradient():
'\n Transforms all global functions in the module to return the original result, paired with the\n gradients of the inputs. This pass transforms each global function independently and does not\n support interprocedural AD. Additionally, this pass does not support any control-flow ... | def FirstOrderGradient():
'\n Transforms all global functions in the module to return the original result, paired with the\n gradients of the inputs. This pass transforms each global function independently and does not\n support interprocedural AD. Additionally, this pass does not support any control-flow ... |
4e6377696240572ba9b334aa5a70156ed45055d6b48b6b9c2692e4323499910a | def Defunctionalization(func, mod):
"\n Performs defunctionalization on func,\n transforming func from a higher-order program to a first-order program.\n\n At each call site, the function is cloned and type parameters are substituted in.\n Function arguments are encoded as datatypes\n and additional ... | Performs defunctionalization on func,
transforming func from a higher-order program to a first-order program.
At each call site, the function is cloned and type parameters are substituted in.
Function arguments are encoded as datatypes
and additional apply functions are used for application.
Parameters
----------
fun... | python/tvm/relay/transform/transform.py | Defunctionalization | ryanstout/tvm | 2,084 | python | def Defunctionalization(func, mod):
"\n Performs defunctionalization on func,\n transforming func from a higher-order program to a first-order program.\n\n At each call site, the function is cloned and type parameters are substituted in.\n Function arguments are encoded as datatypes\n and additional ... | def Defunctionalization(func, mod):
"\n Performs defunctionalization on func,\n transforming func from a higher-order program to a first-order program.\n\n At each call site, the function is cloned and type parameters are substituted in.\n Function arguments are encoded as datatypes\n and additional ... |
017ce03cf7f978473286e8390f0bf222f964a648aeaf428e6bc6aab4ce62b441 | def to_cps(func, mod=None):
'\n Turn expression into CPS expression.\n\n Every intermediate compute will be passed to a continuation.\n\n Parameters\n ----------\n func: tvm.relay.Function\n The input function.\n\n mod: Optional[tvm.IRModule]\n The global module.\n\n Returns\n ... | Turn expression into CPS expression.
Every intermediate compute will be passed to a continuation.
Parameters
----------
func: tvm.relay.Function
The input function.
mod: Optional[tvm.IRModule]
The global module.
Returns
-------
result: tvm.relay.Function
The output function. | python/tvm/relay/transform/transform.py | to_cps | ryanstout/tvm | 2,084 | python | def to_cps(func, mod=None):
'\n Turn expression into CPS expression.\n\n Every intermediate compute will be passed to a continuation.\n\n Parameters\n ----------\n func: tvm.relay.Function\n The input function.\n\n mod: Optional[tvm.IRModule]\n The global module.\n\n Returns\n ... | def to_cps(func, mod=None):
'\n Turn expression into CPS expression.\n\n Every intermediate compute will be passed to a continuation.\n\n Parameters\n ----------\n func: tvm.relay.Function\n The input function.\n\n mod: Optional[tvm.IRModule]\n The global module.\n\n Returns\n ... |
27963b974b2912593046ec770e38c4801b7930194b879467d48725b47051c37a | def un_cps(func):
'\n Turn an cps function into a Function without the continuation argument.\n\n Note that this will not give the exact same interface as before cps:\n If the input/output is higher order, they will still be in cps form.\n\n Parameters\n ----------\n func: tvm.relay.Function\n ... | Turn an cps function into a Function without the continuation argument.
Note that this will not give the exact same interface as before cps:
If the input/output is higher order, they will still be in cps form.
Parameters
----------
func: tvm.relay.Function
The input function
Returns
-------
result: tvm.relay.F... | python/tvm/relay/transform/transform.py | un_cps | ryanstout/tvm | 2,084 | python | def un_cps(func):
'\n Turn an cps function into a Function without the continuation argument.\n\n Note that this will not give the exact same interface as before cps:\n If the input/output is higher order, they will still be in cps form.\n\n Parameters\n ----------\n func: tvm.relay.Function\n ... | def un_cps(func):
'\n Turn an cps function into a Function without the continuation argument.\n\n Note that this will not give the exact same interface as before cps:\n If the input/output is higher order, they will still be in cps form.\n\n Parameters\n ----------\n func: tvm.relay.Function\n ... |
7224869d50e2cc0eb87d827dcfe477e1382f147e119fb6528dd88c10d8d0948b | def _wrap_class_function_pass(pass_cls, pass_info):
'Wrap a python class as function pass'
class PyFunctionPass(FunctionPass):
'Internal wrapper class to create a class instance.'
def __init__(self, *args, **kwargs):
self.handle = None
inst = pass_cls(*args, **kwargs)
... | Wrap a python class as function pass | python/tvm/relay/transform/transform.py | _wrap_class_function_pass | ryanstout/tvm | 2,084 | python | def _wrap_class_function_pass(pass_cls, pass_info):
class PyFunctionPass(FunctionPass):
'Internal wrapper class to create a class instance.'
def __init__(self, *args, **kwargs):
self.handle = None
inst = pass_cls(*args, **kwargs)
def _pass_func(func, mod, ... | def _wrap_class_function_pass(pass_cls, pass_info):
class PyFunctionPass(FunctionPass):
'Internal wrapper class to create a class instance.'
def __init__(self, *args, **kwargs):
self.handle = None
inst = pass_cls(*args, **kwargs)
def _pass_func(func, mod, ... |
488833a0ac98d3b60f2c1f541f150ef23de5253f4f135a176ef615d5eaa4e208 | def function_pass(pass_func=None, opt_level=None, name=None, required=None):
'Decorate a function pass.\n\n This function returns a callback when pass_func\n is provided. Otherwise, it returns the created function pass using the\n given optimization function.\n\n Parameters\n ----------\n pass_fun... | Decorate a function pass.
This function returns a callback when pass_func
is provided. Otherwise, it returns the created function pass using the
given optimization function.
Parameters
----------
pass_func : Optional[Callable[(Function, Module, PassContext) -> Function]]
The transformation function or class.
opt... | python/tvm/relay/transform/transform.py | function_pass | ryanstout/tvm | 2,084 | python | def function_pass(pass_func=None, opt_level=None, name=None, required=None):
'Decorate a function pass.\n\n This function returns a callback when pass_func\n is provided. Otherwise, it returns the created function pass using the\n given optimization function.\n\n Parameters\n ----------\n pass_fun... | def function_pass(pass_func=None, opt_level=None, name=None, required=None):
'Decorate a function pass.\n\n This function returns a callback when pass_func\n is provided. Otherwise, it returns the created function pass using the\n given optimization function.\n\n Parameters\n ----------\n pass_fun... |
7be60eab918d618241097c3566f0263c3e7b3bed7e0b16b3c04beb602d31cc70 | def DenseToSparse(weight_name, weight_shape):
'\n Rewrite qualified ```nn.dense operation``` to ```nn.sparse_dense```\n This pass is used in ```data_dep_optimization.bsr_dense```\n Parameters of this pass is generated by ```analysis.sparse_dense.process_params```\n\n Parameters\n ----------\n weig... | Rewrite qualified ```nn.dense operation``` to ```nn.sparse_dense```
This pass is used in ```data_dep_optimization.bsr_dense```
Parameters of this pass is generated by ```analysis.sparse_dense.process_params```
Parameters
----------
weight_name: Array[String]
Names of weights which qualified sparse contrains
weight_... | python/tvm/relay/transform/transform.py | DenseToSparse | ryanstout/tvm | 2,084 | python | def DenseToSparse(weight_name, weight_shape):
'\n Rewrite qualified ```nn.dense operation``` to ```nn.sparse_dense```\n This pass is used in ```data_dep_optimization.bsr_dense```\n Parameters of this pass is generated by ```analysis.sparse_dense.process_params```\n\n Parameters\n ----------\n weig... | def DenseToSparse(weight_name, weight_shape):
'\n Rewrite qualified ```nn.dense operation``` to ```nn.sparse_dense```\n This pass is used in ```data_dep_optimization.bsr_dense```\n Parameters of this pass is generated by ```analysis.sparse_dense.process_params```\n\n Parameters\n ----------\n weig... |
b5bc2928a76744a102ab48f4557e61a48e7f549f3cd5c900269d2965b4b610e2 | def Conv2dToSparse(weight_name, weight_shape, layout, kernel_size):
'\n Rewrite qualified ```nn.conv2d operation``` to ```nn.sparse_conv2d```\n\n Parameters\n ----------\n weight_name: Array[String]\n Names of weights which qualified sparse contrains\n\n weight_shape: Array[Array[IntImm]]\n ... | Rewrite qualified ```nn.conv2d operation``` to ```nn.sparse_conv2d```
Parameters
----------
weight_name: Array[String]
Names of weights which qualified sparse contrains
weight_shape: Array[Array[IntImm]]
Weights shape in BSR format.
layout : str
layout of data
Returns
-------
ret : tvm.transform.Pass
Th... | python/tvm/relay/transform/transform.py | Conv2dToSparse | ryanstout/tvm | 2,084 | python | def Conv2dToSparse(weight_name, weight_shape, layout, kernel_size):
'\n Rewrite qualified ```nn.conv2d operation``` to ```nn.sparse_conv2d```\n\n Parameters\n ----------\n weight_name: Array[String]\n Names of weights which qualified sparse contrains\n\n weight_shape: Array[Array[IntImm]]\n ... | def Conv2dToSparse(weight_name, weight_shape, layout, kernel_size):
'\n Rewrite qualified ```nn.conv2d operation``` to ```nn.sparse_conv2d```\n\n Parameters\n ----------\n weight_name: Array[String]\n Names of weights which qualified sparse contrains\n\n weight_shape: Array[Array[IntImm]]\n ... |
8b017cedebd2c0e5cb457a8dcedd415332f0e740b8d1567734044f5eb0f8d4fd | def Conv2dToSparse2(layout, kernel_size, blocksize, sparsity_threshold):
'\n Rewrite freezed ```nn.conv2d``` operation to ```nn.sparse_conv2d```\n\n Parameters\n ----------\n layout : str\n layout of data\n\n kernel_size : int\n kernel size of conv2d\n\n Returns\n -------\n ret... | Rewrite freezed ```nn.conv2d``` operation to ```nn.sparse_conv2d```
Parameters
----------
layout : str
layout of data
kernel_size : int
kernel size of conv2d
Returns
-------
ret : tvm.transform.Pass
The registered DenseToSparse pass. | python/tvm/relay/transform/transform.py | Conv2dToSparse2 | ryanstout/tvm | 2,084 | python | def Conv2dToSparse2(layout, kernel_size, blocksize, sparsity_threshold):
'\n Rewrite freezed ```nn.conv2d``` operation to ```nn.sparse_conv2d```\n\n Parameters\n ----------\n layout : str\n layout of data\n\n kernel_size : int\n kernel size of conv2d\n\n Returns\n -------\n ret... | def Conv2dToSparse2(layout, kernel_size, blocksize, sparsity_threshold):
'\n Rewrite freezed ```nn.conv2d``` operation to ```nn.sparse_conv2d```\n\n Parameters\n ----------\n layout : str\n layout of data\n\n kernel_size : int\n kernel size of conv2d\n\n Returns\n -------\n ret... |
6c9b4d9edb0e20b97dd129dc02d35a91ca5fa530324e9501481fd411c2d22f29 | def SimplifyFCTranspose(target_weight_name):
'\n Rewrite ```y = nn.dense(x, transpose(w, [1, 0]))``` to ```y = nn.dense(x, wt)```\n This pass is used in ```data_dep_optimization.simplify_fc_transpose```\n\n Parameters\n ----------\n weight_name: Array[String]\n Names of weights which qualified `... | Rewrite ```y = nn.dense(x, transpose(w, [1, 0]))``` to ```y = nn.dense(x, wt)```
This pass is used in ```data_dep_optimization.simplify_fc_transpose```
Parameters
----------
weight_name: Array[String]
Names of weights which qualified ```y = nn.dense(x, transpose(w, [1, 0]))```
This parameter is generated by ```ana... | python/tvm/relay/transform/transform.py | SimplifyFCTranspose | ryanstout/tvm | 2,084 | python | def SimplifyFCTranspose(target_weight_name):
'\n Rewrite ```y = nn.dense(x, transpose(w, [1, 0]))``` to ```y = nn.dense(x, wt)```\n This pass is used in ```data_dep_optimization.simplify_fc_transpose```\n\n Parameters\n ----------\n weight_name: Array[String]\n Names of weights which qualified `... | def SimplifyFCTranspose(target_weight_name):
'\n Rewrite ```y = nn.dense(x, transpose(w, [1, 0]))``` to ```y = nn.dense(x, wt)```\n This pass is used in ```data_dep_optimization.simplify_fc_transpose```\n\n Parameters\n ----------\n weight_name: Array[String]\n Names of weights which qualified `... |
db61c367a5181906f60306a18d548003fad6fcb9b28868816f3bd4e7a8c579c0 | def SimplifyExpr():
'\n Simplify the Relay expression, including merging consecutive reshapes.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered SimplifyExpr pass.\n '
return _ffi_api.SimplifyExpr() | Simplify the Relay expression, including merging consecutive reshapes.
Returns
-------
ret : tvm.transform.Pass
The registered SimplifyExpr pass. | python/tvm/relay/transform/transform.py | SimplifyExpr | ryanstout/tvm | 2,084 | python | def SimplifyExpr():
'\n Simplify the Relay expression, including merging consecutive reshapes.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered SimplifyExpr pass.\n '
return _ffi_api.SimplifyExpr() | def SimplifyExpr():
'\n Simplify the Relay expression, including merging consecutive reshapes.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered SimplifyExpr pass.\n '
return _ffi_api.SimplifyExpr()<|docstring|>Simplify the Relay expression, including merging consecutive re... |
4a62119ed36afb3d4f4a37946550c66e50fd7cead26951d5a068cb3352e8af09 | def PlanDevices(config):
'\n Uses existing "on_device" and "device_copy" calls to infer the virtual device on which\n every Relay sub-expression should run and the result stored. Captures the result of that\n analysis using new "on_device" and "device_copy" calls. Sub-expressions which are\n not otherwi... | Uses existing "on_device" and "device_copy" calls to infer the virtual device on which
every Relay sub-expression should run and the result stored. Captures the result of that
analysis using new "on_device" and "device_copy" calls. Sub-expressions which are
not otherwise constrained are assigned to the default primitiv... | python/tvm/relay/transform/transform.py | PlanDevices | ryanstout/tvm | 2,084 | python | def PlanDevices(config):
'\n Uses existing "on_device" and "device_copy" calls to infer the virtual device on which\n every Relay sub-expression should run and the result stored. Captures the result of that\n analysis using new "on_device" and "device_copy" calls. Sub-expressions which are\n not otherwi... | def PlanDevices(config):
'\n Uses existing "on_device" and "device_copy" calls to infer the virtual device on which\n every Relay sub-expression should run and the result stored. Captures the result of that\n analysis using new "on_device" and "device_copy" calls. Sub-expressions which are\n not otherwi... |
0a0d1c0fb11eeb76ead8404f9baa86ee94755b63fbd423f3f4df66cb33d5297a | def FoldExplicitPadding():
'\n FoldExplicitPadding finds explict padding before an op that can support\n implicit padding and fuses them.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered ImplicitPadding pass.\n '
return _ffi_api.FoldExplicitPadding() | FoldExplicitPadding finds explict padding before an op that can support
implicit padding and fuses them.
Returns
-------
ret : tvm.transform.Pass
The registered ImplicitPadding pass. | python/tvm/relay/transform/transform.py | FoldExplicitPadding | ryanstout/tvm | 2,084 | python | def FoldExplicitPadding():
'\n FoldExplicitPadding finds explict padding before an op that can support\n implicit padding and fuses them.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered ImplicitPadding pass.\n '
return _ffi_api.FoldExplicitPadding() | def FoldExplicitPadding():
'\n FoldExplicitPadding finds explict padding before an op that can support\n implicit padding and fuses them.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered ImplicitPadding pass.\n '
return _ffi_api.FoldExplicitPadding()<|docstring|>FoldExp... |
5d82f6264b471ddb37bc342c7a2bd8fdbe3e7ec4f3511cd73003e691e53a1518 | def AnnotateSpans():
'\n Annotate a program with span information by first generating its textual\n representation and then parsing it back into a Relay AST annotated with\n span information.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered AnnotateSpans pass.\n '
re... | Annotate a program with span information by first generating its textual
representation and then parsing it back into a Relay AST annotated with
span information.
Returns
-------
ret : tvm.transform.Pass
The registered AnnotateSpans pass. | python/tvm/relay/transform/transform.py | AnnotateSpans | ryanstout/tvm | 2,084 | python | def AnnotateSpans():
'\n Annotate a program with span information by first generating its textual\n representation and then parsing it back into a Relay AST annotated with\n span information.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered AnnotateSpans pass.\n '
re... | def AnnotateSpans():
'\n Annotate a program with span information by first generating its textual\n representation and then parsing it back into a Relay AST annotated with\n span information.\n\n Returns\n -------\n ret : tvm.transform.Pass\n The registered AnnotateSpans pass.\n '
re... |
7316ffd50c72e91a76561ef03ccdc814dd47483bb4c882ee5b8b2705fcee25f5 | def FakeQuantizationToInteger(hard_fail=False):
'\n Find regions of the graph of the form\n\n .. code-block:: text\n\n x w\n | |\n dq dq\n \\ /\n op1\n |\n op2\n |\n q\n\n where ``q == qnn.quantize`` and ``dq = qnn.dequa... | Find regions of the graph of the form
.. code-block:: text
x w
| |
dq dq
\ /
op1
|
op2
|
q
where ``q == qnn.quantize`` and ``dq = qnn.dequantize``
and rewrite them into integer versions of ``op1`` and ``op2``
Rules for rewriting indivdual ops are in fake_q... | python/tvm/relay/transform/transform.py | FakeQuantizationToInteger | ryanstout/tvm | 2,084 | python | def FakeQuantizationToInteger(hard_fail=False):
'\n Find regions of the graph of the form\n\n .. code-block:: text\n\n x w\n | |\n dq dq\n \\ /\n op1\n |\n op2\n |\n q\n\n where ``q == qnn.quantize`` and ``dq = qnn.dequa... | def FakeQuantizationToInteger(hard_fail=False):
'\n Find regions of the graph of the form\n\n .. code-block:: text\n\n x w\n | |\n dq dq\n \\ /\n op1\n |\n op2\n |\n q\n\n where ``q == qnn.quantize`` and ``dq = qnn.dequa... |
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