Pugh Torch
0.4.0
Contents:
Overview
Installation
Stable release
From sources
Package modules
pugh_torch package
Subpackages
pugh_torch.augmentations package
pugh_torch.callbacks package
pugh_torch.datasets package
pugh_torch.linalg package
pugh_torch.losses package
pugh_torch.mappings package
pugh_torch.metrics package
pugh_torch.models package
pugh_torch.modules package
pugh_torch.optimizers package
pugh_torch.transforms package
pugh_torch.utils package
Submodules
pugh_torch.exceptions module
pugh_torch.helpers module
Module contents
Contributing
Get Started!
Deploying
Development
The Four Commands You Need To Know
Additional Optional Setup Steps:
Suggested Git Branch Strategy
Math notation example
Pugh Torch
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Index
Index
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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K
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L
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M
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N
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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
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W
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X
A
Activation() (in module pugh_torch.modules.activation)
ActivationModule (class in pugh_torch.modules.activation)
add_depth() (pugh_torch.utils.tensorboard.SummaryWriter method)
add_rgb() (pugh_torch.utils.tensorboard.SummaryWriter method)
add_ss() (pugh_torch.utils.tensorboard.SummaryWriter method)
add_text_under_img() (in module pugh_torch.helpers)
ADE20K (class in pugh_torch.datasets.segmentation.ade20k)
alpha (pugh_torch.modules.activation.CELU attribute)
(pugh_torch.modules.activation.ELU attribute)
apply() (pugh_torch.augmentations.transforms.resize_shortest.ResizeShortest method)
apply_to_bbox() (pugh_torch.augmentations.transforms.resize_shortest.ResizeShortest method)
apply_to_keypoint() (pugh_torch.augmentations.transforms.resize_shortest.ResizeShortest method)
auto_construct (pugh_torch.datasets.classification.cifar.CIFAR10 attribute)
(pugh_torch.datasets.classification.imagenet.ImageNet attribute)
(pugh_torch.datasets.classification.mnist.MNIST attribute)
(pugh_torch.datasets.torchvision.TorchVisionDataset attribute)
available_types (pugh_torch.datasets.nyuv2.NYUv2 attribute)
B
batch_index_select() (in module pugh_torch.utils.batch_index_select)
batch_lstsq() (in module pugh_torch.linalg.batch_lstsq)
BatchLinear (class in pugh_torch.modules.meta)
beta (pugh_torch.modules.activation.Softplus attribute)
bias_k (pugh_torch.modules.activation.MultiheadAttention attribute)
bias_v (pugh_torch.modules.activation.MultiheadAttention attribute)
BinaryMHash (class in pugh_torch.modules.hash)
C
calling_scope() (in module pugh_torch.helpers)
camel_to_snake() (in module pugh_torch.helpers)
CELU (class in pugh_torch.modules.activation)
CIFAR10 (class in pugh_torch.datasets.classification.cifar)
CIFAR100 (class in pugh_torch.datasets.classification.cifar)
class_to_idx() (pugh_torch.datasets.torchvision.TorchVisionDataset property)
classes() (pugh_torch.datasets.torchvision.TorchVisionDataset property)
compare_hash() (in module pugh_torch.helpers)
compute_sha1() (in module pugh_torch.helpers)
configure_optimizers() (pugh_torch.modules.lightning_module.LightningModule method)
conv1x1() (in module pugh_torch.modules.conv)
conv3x3() (in module pugh_torch.modules.conv)
cx (pugh_torch.datasets.nyuv2.NYUv2 attribute)
cy (pugh_torch.datasets.nyuv2.NYUv2 attribute)
D
Dataset (class in pugh_torch.datasets.base)
DataUnavailableError
download() (in module pugh_torch.helpers)
(pugh_torch.datasets.base.Dataset method)
(pugh_torch.datasets.classification.imagenet.ImageNet method)
(pugh_torch.datasets.nyuv2.NYUv2 method)
(pugh_torch.datasets.segmentation.ade20k.ADE20K method)
(pugh_torch.datasets.torchvision.TorchVisionDataset method)
DOWNLOAD_URL (pugh_torch.datasets.nyuv2.NYUv2 attribute)
DOWNLOAD_URLS (pugh_torch.datasets.segmentation.ade20k.ADE20K attribute)
downloaded() (pugh_torch.datasets.base.Dataset property)
downloaded_file() (pugh_torch.datasets.base.Dataset property)
E
ELU (class in pugh_torch.modules.activation)
experiment() (pugh_torch.utils.tensorboard.TensorBoardLogger property)
F
forward() (pugh_torch.modules.activation.Noop method)
(pugh_torch.modules.activation.Sine method)
(pugh_torch.modules.hash.Hash method)
(pugh_torch.modules.hash.MHashProj method)
(pugh_torch.modules.hash.RandHashProj method)
(pugh_torch.modules.meta.BatchLinear method)
from_hashers() (pugh_torch.modules.hash.MHashProj class method)
from_offset() (pugh_torch.modules.hash.MHash class method)
fx (pugh_torch.datasets.nyuv2.NYUv2 attribute)
fy (pugh_torch.datasets.nyuv2.NYUv2 attribute)
G
gdrive_download() (in module pugh_torch.utils.io)
GDriveDownloadError
GELU (class in pugh_torch.modules.activation)
get() (in module pugh_torch.datasets)
(in module pugh_torch.optimizers)
(in module pugh_torch.optimizers.schedulers)
get_dataset() (in module pugh_torch.datasets)
get_functional_loss() (in module pugh_torch.losses)
get_module_version() (in module pugh_torch)
get_optimizer() (in module pugh_torch.optimizers)
get_palette() (in module pugh_torch.mappings.color)
get_scheduler() (in module pugh_torch.optimizers.schedulers)
get_transform_init_args_names() (pugh_torch.augmentations.transforms.resize_shortest.ResizeShortest method)
H
Hardshrink (class in pugh_torch.modules.activation)
Hardsigmoid (class in pugh_torch.modules.activation)
Hardswish (class in pugh_torch.modules.activation)
Hardtanh (class in pugh_torch.modules.activation)
Hash (class in pugh_torch.modules.hash)
hash() (pugh_torch.modules.hash.BinaryMHash method)
(pugh_torch.modules.hash.Hash method)
(pugh_torch.modules.hash.MHash method)
HashMismatchError
he() (in module pugh_torch.modules.init)
hetero_cross_entropy() (in module pugh_torch.losses.hetero_cross_entropy)
Histogram (class in pugh_torch.callbacks.histogram)
I
ImageNet (class in pugh_torch.datasets.classification.imagenet)
in_features (pugh_torch.modules.meta.BatchLinear attribute)
init_first_layer() (pugh_torch.modules.activation.ActivationModule method)
(pugh_torch.modules.activation.Sine method)
init_layer() (pugh_torch.modules.activation.ActivationModule method)
(pugh_torch.modules.activation.CELU method)
(pugh_torch.modules.activation.ELU method)
(pugh_torch.modules.activation.GELU method)
(pugh_torch.modules.activation.Hardshrink method)
(pugh_torch.modules.activation.Hardsigmoid method)
(pugh_torch.modules.activation.Hardswish method)
(pugh_torch.modules.activation.Hardtanh method)
(pugh_torch.modules.activation.LeakyReLU method)
(pugh_torch.modules.activation.LogSigmoid method)
(pugh_torch.modules.activation.PReLU method)
(pugh_torch.modules.activation.ReLU method)
(pugh_torch.modules.activation.ReLU6 method)
(pugh_torch.modules.activation.RReLU method)
(pugh_torch.modules.activation.SELU method)
(pugh_torch.modules.activation.Sigmoid method)
(pugh_torch.modules.activation.Sine method)
(pugh_torch.modules.activation.Softplus method)
(pugh_torch.modules.activation.Softshrink method)
(pugh_torch.modules.activation.Softsign method)
(pugh_torch.modules.activation.Tanh method)
(pugh_torch.modules.activation.Tanhshrink method)
inplace (pugh_torch.modules.activation.CELU attribute)
(pugh_torch.modules.activation.ELU attribute)
(pugh_torch.modules.activation.Hardsigmoid attribute)
(pugh_torch.modules.activation.Hardswish attribute)
(pugh_torch.modules.activation.Hardtanh attribute)
(pugh_torch.modules.activation.LeakyReLU attribute)
(pugh_torch.modules.activation.ReLU attribute)
(pugh_torch.modules.activation.ReLU6 attribute)
(pugh_torch.modules.activation.RReLU attribute)
(pugh_torch.modules.activation.SELU attribute)
(pugh_torch.modules.activation.Threshold attribute)
K
K (pugh_torch.datasets.nyuv2.NYUv2 attribute)
K4 (pugh_torch.datasets.nyuv2.NYUv2 attribute)
L
label_smoothing() (in module pugh_torch.losses.label_smoothing)
lambd (pugh_torch.modules.activation.Hardshrink attribute)
(pugh_torch.modules.activation.Softshrink attribute)
LeakyReLU (class in pugh_torch.modules.activation)
LightningModule (class in pugh_torch.modules.lightning_module)
load_state_dict() (pugh_torch.modules.load_state_dict_mixin.LoadStateDictMixin method)
(pugh_torch.optimizers.lookahead.Lookahead method)
load_state_dict_from_url() (in module pugh_torch.models.io)
LoadStateDictMixin (class in pugh_torch.modules.load_state_dict_mixin)
LogSigmoid (class in pugh_torch.modules.activation)
Lookahead (class in pugh_torch.optimizers.lookahead)
LookaheadAdam() (in module pugh_torch.optimizers.lookahead)
lower (pugh_torch.modules.activation.RReLU attribute)
M
max_val (pugh_torch.modules.activation.Hardtanh attribute)
(pugh_torch.modules.activation.ReLU6 attribute)
MHash (class in pugh_torch.modules.hash)
MHashProj (class in pugh_torch.modules.hash)
min_val (pugh_torch.modules.activation.Hardtanh attribute)
(pugh_torch.modules.activation.ReLU6 attribute)
MNIST (class in pugh_torch.datasets.classification.mnist)
ModelCheckpoint (class in pugh_torch.callbacks.model_checkpoint)
most_recent_checkpoint() (in module pugh_torch.helpers)
most_recent_run() (in module pugh_torch.helpers)
move_dim() (in module pugh_torch.helpers)
MultiheadAttention (class in pugh_torch.modules.activation)
N
negative_slope (pugh_torch.modules.activation.LeakyReLU attribute)
Noop (class in pugh_torch.modules.activation)
Normalize (class in pugh_torch.transforms.imagenet)
np_normalize() (in module pugh_torch.transforms.imagenet)
np_unnormalize() (in module pugh_torch.transforms.imagenet)
num_parameters (pugh_torch.modules.activation.PReLU attribute)
NYUv2 (class in pugh_torch.datasets.nyuv2)
O
on_train_batch_end() (pugh_torch.callbacks.histogram.Histogram method)
(pugh_torch.callbacks.tensorboard_add_classification.TensorBoardAddClassification method)
(pugh_torch.callbacks.tensorboard_add_depth.TensorBoardAddDepth method)
(pugh_torch.callbacks.tensorboard_add_ss.TensorBoardAddSS method)
(pugh_torch.callbacks.tensorboard_base.TensorBoardCallback method)
on_train_start() (pugh_torch.callbacks.tensorboard_add_classification.TensorBoardAddClassification method)
Optimizer (class in pugh_torch.optimizers.base)
out_features (pugh_torch.modules.meta.BatchLinear attribute)
P
path() (pugh_torch.datasets.base.Dataset property)
PAYLOAD_NAME (pugh_torch.datasets.nyuv2.NYUv2 attribute)
PAYLOAD_NAMES (pugh_torch.datasets.segmentation.ade20k.ADE20K attribute)
plot_to_np() (in module pugh_torch.helpers)
PReLU (class in pugh_torch.modules.activation)
prime_offset (pugh_torch.modules.hash.MHashProj attribute)
primes() (in module pugh_torch.modules.hash)
primes_index() (in module pugh_torch.modules.hash)
pugh_torch (module)
pugh_torch.augmentations (module)
pugh_torch.augmentations.transforms (module)
pugh_torch.augmentations.transforms.resize_shortest (module)
pugh_torch.callbacks (module)
pugh_torch.callbacks.histogram (module)
pugh_torch.callbacks.model_checkpoint (module)
pugh_torch.callbacks.tensorboard_add_classification (module)
pugh_torch.callbacks.tensorboard_add_depth (module)
pugh_torch.callbacks.tensorboard_add_ss (module)
pugh_torch.callbacks.tensorboard_base (module)
pugh_torch.datasets (module)
pugh_torch.datasets.base (module)
pugh_torch.datasets.classification (module)
pugh_torch.datasets.classification.cifar (module)
pugh_torch.datasets.classification.imagenet (module)
pugh_torch.datasets.classification.mnist (module)
pugh_torch.datasets.nyuv2 (module)
pugh_torch.datasets.segmentation (module)
pugh_torch.datasets.segmentation.ade20k (module)
pugh_torch.datasets.torchvision (module)
pugh_torch.exceptions (module)
pugh_torch.helpers (module)
pugh_torch.linalg (module)
pugh_torch.linalg.batch_lstsq (module)
pugh_torch.losses (module)
pugh_torch.losses.hetero_cross_entropy (module)
pugh_torch.losses.label_smoothing (module)
pugh_torch.mappings (module)
pugh_torch.mappings.color (module)
pugh_torch.metrics (module)
pugh_torch.models (module)
pugh_torch.models.io (module)
pugh_torch.models.resnet (module)
pugh_torch.modules (module)
pugh_torch.modules.activation (module)
pugh_torch.modules.conv (module)
pugh_torch.modules.hash (module)
pugh_torch.modules.init (module)
pugh_torch.modules.lightning_module (module)
pugh_torch.modules.load_state_dict_mixin (module)
pugh_torch.modules.meta (module)
pugh_torch.optimizers (module)
pugh_torch.optimizers.base (module)
pugh_torch.optimizers.lookahead (module)
pugh_torch.optimizers.ralamb (module)
pugh_torch.optimizers.rangerlars (module)
pugh_torch.optimizers.schedulers (module)
pugh_torch.transforms (module)
pugh_torch.transforms.imagenet (module)
pugh_torch.utils (module)
pugh_torch.utils.batch_index_select (module)
pugh_torch.utils.io (module)
pugh_torch.utils.misc (module)
pugh_torch.utils.tensorboard (module)
R
Ralamb (class in pugh_torch.optimizers.ralamb)
RandHashProj (class in pugh_torch.modules.hash)
RangerLars() (in module pugh_torch.optimizers.rangerlars)
reduction_str() (in module pugh_torch.losses)
ReLU (class in pugh_torch.modules.activation)
ReLU6 (class in pugh_torch.modules.activation)
ResizeShortest (class in pugh_torch.augmentations.transforms.resize_shortest)
ResNet (class in pugh_torch.models.resnet)
resnet101() (in module pugh_torch.models.resnet)
resnet152() (in module pugh_torch.models.resnet)
resnet18() (in module pugh_torch.models.resnet)
resnet34() (in module pugh_torch.models.resnet)
resnet50() (in module pugh_torch.models.resnet)
resnext101_32x8d() (in module pugh_torch.models.resnet)
resnext50_32x4d() (in module pugh_torch.models.resnet)
RReLU (class in pugh_torch.modules.activation)
S
SELU (class in pugh_torch.modules.activation)
ShouldNeverHappenError
Sigmoid (class in pugh_torch.modules.activation)
Sine (class in pugh_torch.modules.activation)
Softplus (class in pugh_torch.modules.activation)
Softshrink (class in pugh_torch.modules.activation)
Softsign (class in pugh_torch.modules.activation)
sparse() (pugh_torch.modules.hash.RandHashProj property)
state_dict() (pugh_torch.optimizers.lookahead.Lookahead method)
step() (pugh_torch.optimizers.lookahead.Lookahead method)
(pugh_torch.optimizers.ralamb.Ralamb method)
SummaryWriter (class in pugh_torch.utils.tensorboard)
sync_lookahead() (pugh_torch.optimizers.lookahead.Lookahead method)
T
Tanh (class in pugh_torch.modules.activation)
Tanhshrink (class in pugh_torch.modules.activation)
TensorBoardAddClassification (class in pugh_torch.callbacks.tensorboard_add_classification)
TensorBoardAddDepth (class in pugh_torch.callbacks.tensorboard_add_depth)
TensorBoardAddSS (class in pugh_torch.callbacks.tensorboard_add_ss)
TensorBoardCallback (class in pugh_torch.callbacks.tensorboard_base)
TensorBoardLogger (class in pugh_torch.utils.tensorboard)
Threshold (class in pugh_torch.modules.activation)
threshold (pugh_torch.modules.activation.Softplus attribute)
(pugh_torch.modules.activation.Threshold attribute)
timeit() (in module pugh_torch.utils.misc)
to() (pugh_torch.modules.hash.MHashProj method)
to_obj() (in module pugh_torch.helpers)
torchvision_constructor (pugh_torch.datasets.classification.cifar.CIFAR10 attribute)
(pugh_torch.datasets.classification.cifar.CIFAR100 attribute)
(pugh_torch.datasets.classification.imagenet.ImageNet attribute)
(pugh_torch.datasets.classification.mnist.MNIST attribute)
TorchVisionDataset (class in pugh_torch.datasets.torchvision)
training (pugh_torch.models.resnet.ResNet attribute)
(pugh_torch.modules.activation.ActivationModule attribute)
(pugh_torch.modules.activation.GELU attribute)
(pugh_torch.modules.activation.LogSigmoid attribute)
(pugh_torch.modules.activation.Noop attribute)
(pugh_torch.modules.activation.Sigmoid attribute)
(pugh_torch.modules.activation.Sine attribute)
(pugh_torch.modules.activation.Softsign attribute)
(pugh_torch.modules.activation.Tanh attribute)
(pugh_torch.modules.activation.Tanhshrink attribute)
(pugh_torch.modules.hash.BinaryMHash attribute)
(pugh_torch.modules.hash.Hash attribute)
(pugh_torch.modules.hash.MHash attribute)
(pugh_torch.modules.hash.MHashProj attribute)
(pugh_torch.modules.hash.RandHashProj attribute)
(pugh_torch.modules.lightning_module.LightningModule attribute)
turbo() (in module pugh_torch.mappings.color)
U
Unnormalize (class in pugh_torch.transforms.imagenet)
unpack() (pugh_torch.datasets.base.Dataset method)
(pugh_torch.datasets.nyuv2.NYUv2 method)
(pugh_torch.datasets.segmentation.ade20k.ADE20K method)
(pugh_torch.datasets.torchvision.TorchVisionDataset method)
unpacked() (pugh_torch.datasets.base.Dataset property)
unpacked_file() (pugh_torch.datasets.base.Dataset property)
update_slow() (pugh_torch.optimizers.lookahead.Lookahead method)
upper (pugh_torch.modules.activation.RReLU attribute)
V
value (pugh_torch.modules.activation.Threshold attribute)
W
weight (pugh_torch.modules.meta.BatchLinear attribute)
wide_resnet101_2() (in module pugh_torch.models.resnet)
wide_resnet50_2() (in module pugh_torch.models.resnet)
working_dir() (in module pugh_torch.helpers)
X
xavier() (in module pugh_torch.modules.init)