pytorch-pfn-extras
User Guide
API Reference
Index
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A
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B
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C
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D
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E
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F
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G
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H
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I
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L
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M
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O
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P
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R
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S
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T
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U
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V
_
__init__() (pytorch_pfn_extras.config.Config method)
(pytorch_pfn_extras.dataset.SharedDataset method)
(pytorch_pfn_extras.dataset.TabularDataset method)
(pytorch_pfn_extras.handler.BaseHandler method)
(pytorch_pfn_extras.handler.BaseLogic method)
(pytorch_pfn_extras.handler.Handler method)
(pytorch_pfn_extras.handler.Logic method)
(pytorch_pfn_extras.nn.Ensure method)
(pytorch_pfn_extras.nn.LazyBatchNorm1d method)
(pytorch_pfn_extras.nn.LazyBatchNorm2d method)
(pytorch_pfn_extras.nn.LazyBatchNorm3d method)
(pytorch_pfn_extras.nn.LazyConv1d method)
(pytorch_pfn_extras.nn.LazyConv2d method)
(pytorch_pfn_extras.nn.LazyConv3d method)
(pytorch_pfn_extras.nn.LazyLinear method)
(pytorch_pfn_extras.nn.parallel.DistributedDataParallel method)
(pytorch_pfn_extras.reporting.Reporter method)
(pytorch_pfn_extras.runtime.BaseRuntime method)
(pytorch_pfn_extras.runtime.PyTorchRuntime method)
(pytorch_pfn_extras.training.extension.Extension method)
(pytorch_pfn_extras.training.extension.ExtensionEntry method)
(pytorch_pfn_extras.training.extensions.BestValue method)
(pytorch_pfn_extras.training.extensions.Evaluator method)
(pytorch_pfn_extras.training.extensions.LogReport method)
(pytorch_pfn_extras.training.extensions.MaxValue method)
(pytorch_pfn_extras.training.extensions.MicroAverage method)
(pytorch_pfn_extras.training.extensions.MinValue method)
(pytorch_pfn_extras.training.extensions.ParameterStatistics method)
(pytorch_pfn_extras.training.extensions.PlotReport method)
(pytorch_pfn_extras.training.extensions.PrintReport method)
(pytorch_pfn_extras.training.extensions.ProfileReport method)
(pytorch_pfn_extras.training.extensions.ProgressBar method)
(pytorch_pfn_extras.training.extensions.Slack method)
(pytorch_pfn_extras.training.extensions.SlackWebhook method)
(pytorch_pfn_extras.training.extensions.VariableStatisticsPlot method)
(pytorch_pfn_extras.training.ExtensionsManager method)
(pytorch_pfn_extras.training.IgniteExtensionsManager method)
(pytorch_pfn_extras.training.triggers.BestValueTrigger method)
(pytorch_pfn_extras.training.triggers.EarlyStoppingTrigger method)
(pytorch_pfn_extras.training.triggers.IntervalTrigger method)
(pytorch_pfn_extras.training.triggers.ManualScheduleTrigger method)
(pytorch_pfn_extras.training.triggers.MaxValueTrigger method)
(pytorch_pfn_extras.training.triggers.MinValueTrigger method)
(pytorch_pfn_extras.training.triggers.OnceTrigger method)
(pytorch_pfn_extras.training.triggers.TimeTrigger method)
A
annotate() (in module pytorch_pfn_extras.onnx)
apply_annotation() (in module pytorch_pfn_extras.onnx)
as_ndarray() (in module pytorch_pfn_extras)
as_numpy_dtype() (in module pytorch_pfn_extras)
B
BaseHandler (class in pytorch_pfn_extras.handler)
BaseLogic (class in pytorch_pfn_extras.handler)
BaseRuntime (class in pytorch_pfn_extras.runtime)
BestValue (class in pytorch_pfn_extras.training.extensions)
BestValueTrigger (class in pytorch_pfn_extras.training.triggers)
C
Config (class in pytorch_pfn_extras.config)
create_evaluator() (in module pytorch_pfn_extras.engine)
create_trainer() (in module pytorch_pfn_extras.engine)
D
DistributedDataParallel (class in pytorch_pfn_extras.nn.parallel)
E
EarlyStoppingTrigger (class in pytorch_pfn_extras.training.triggers)
Ensure (class in pytorch_pfn_extras.nn)
ensure() (in module pytorch_pfn_extras.nn)
eval_func (pytorch_pfn_extras.training.extensions.Evaluator attribute)
eval_hook (pytorch_pfn_extras.training.extensions.Evaluator attribute)
Evaluator (class in pytorch_pfn_extras.training.extensions)
export() (in module pytorch_pfn_extras.onnx)
export_testcase() (in module pytorch_pfn_extras.onnx)
Extension (class in pytorch_pfn_extras.training.extension)
ExtensionEntry (class in pytorch_pfn_extras.training.extension)
ExtensionsManager (class in pytorch_pfn_extras.training)
F
finished (pytorch_pfn_extras.training.triggers.OnceTrigger attribute)
from_ndarray() (in module pytorch_pfn_extras)
from_numpy_dtype() (in module pytorch_pfn_extras)
G
get_logger() (in module pytorch_pfn_extras.logging)
get_xp() (in module pytorch_pfn_extras)
H
Handler (class in pytorch_pfn_extras.handler)
I
IgniteExtensionsManager (class in pytorch_pfn_extras.training)
initialize_ompi_environment() (in module pytorch_pfn_extras.distributed)
IntervalTrigger (class in pytorch_pfn_extras.training.triggers)
ItemNotFoundException
L
LazyBatchNorm1d (class in pytorch_pfn_extras.nn)
LazyBatchNorm2d (class in pytorch_pfn_extras.nn)
LazyBatchNorm3d (class in pytorch_pfn_extras.nn)
LazyConv1d (class in pytorch_pfn_extras.nn)
LazyConv2d (class in pytorch_pfn_extras.nn)
LazyConv3d (class in pytorch_pfn_extras.nn)
LazyLinear (class in pytorch_pfn_extras.nn)
load_path_with_optuna_types() (in module pytorch_pfn_extras.config_types)
Logic (class in pytorch_pfn_extras.handler)
LogReport (class in pytorch_pfn_extras.training.extensions)
M
make_extension() (in module pytorch_pfn_extras.training.extension)
ManualScheduleTrigger (class in pytorch_pfn_extras.training.triggers)
MaxValue (class in pytorch_pfn_extras.training.extensions)
MaxValueTrigger (class in pytorch_pfn_extras.training.triggers)
MicroAverage (class in pytorch_pfn_extras.training.extensions)
MinValue (class in pytorch_pfn_extras.training.extensions)
MinValueTrigger (class in pytorch_pfn_extras.training.triggers)
module
pytorch_pfn_extras
pytorch_pfn_extras.utils.checkpoint
O
observation (pytorch_pfn_extras.reporting.Reporter attribute)
observe_lr() (in module pytorch_pfn_extras.training.extensions)
observe_value() (in module pytorch_pfn_extras.training.extensions)
OnceTrigger (class in pytorch_pfn_extras.training.triggers)
optuna_types() (in module pytorch_pfn_extras.config_types)
P
ParameterStatistics (class in pytorch_pfn_extras.training.extensions)
PlotReport (class in pytorch_pfn_extras.training.extensions)
PrintReport (class in pytorch_pfn_extras.training.extensions)
priority (pytorch_pfn_extras.training.extension.Extension attribute)
ProfileReport (class in pytorch_pfn_extras.training.extensions)
ProgressBar (class in pytorch_pfn_extras.training.extensions)
pytorch_pfn_extras
module
pytorch_pfn_extras.utils.checkpoint
module
PyTorchRuntime (class in pytorch_pfn_extras.runtime)
R
report() (in module pytorch_pfn_extras.reporting)
(pytorch_pfn_extras.profiler.TimeSummary method)
report_scope() (in module pytorch_pfn_extras.reporting)
Reporter (class in pytorch_pfn_extras.reporting)
S
scoped_anchor() (in module pytorch_pfn_extras.onnx)
SharedDataset (class in pytorch_pfn_extras.dataset)
Slack (class in pytorch_pfn_extras.training.extensions)
SlackWebhook (class in pytorch_pfn_extras.training.extensions)
snapshot() (in module pytorch_pfn_extras.training.extensions)
stream() (in module pytorch_pfn_extras.cuda)
T
TabularDataset (class in pytorch_pfn_extras.dataset)
TimeTrigger (class in pytorch_pfn_extras.training.triggers)
trigger (pytorch_pfn_extras.training.extension.Extension attribute)
U
use_default_mempool_in_cupy() (in module pytorch_pfn_extras.cuda)
use_torch_mempool_in_cupy() (in module pytorch_pfn_extras.cuda)
V
VariableStatisticsPlot (class in pytorch_pfn_extras.training.extensions)