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_pkgdown.yml
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/
_pkgdown.yml
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url: https://torch.mlverse.org/docs/
destination: docs
template:
bootstrap: 5
bslib:
primary: "#7e1f77"
params:
ganalytics: G-9ZJSKW3L0N
development:
mode: auto
navbar:
bg: primary
structure:
left: [home, articles, examples, advanced, reference, news]
right: [github]
components:
articles:
text: Articles
menu:
- text: Installation
href: articles/installation.html
- text: Tensors
- text: Creating tensors
href: articles/tensor-creation.html
- text: Indexing
href: articles/indexing.html
- text: Tensor class
href: articles/tensor/index.html
- text: Serialization
href: articles/serialization.html
- text: Datasets
- text: Loading Data
href: articles/loading-data.html
- text: Autograd
- text: Using autograd
href: articles/using-autograd.html
- text: Extending autograd
href: articles/extending-autograd.html
- text: Python models
href: articles/python-to-r.html
advanced:
text: Advanced
menu:
- text: Memory management
href: articles/memory-management.html
- text: Building locally
href: articles/modifying-source-code.html
- text: Automatic Mixed Precision
href: articles/amp.html
examples:
text: Examples
menu:
- text: basic-autograd
href: articles/examples/basic-autograd.html
- text: basic-nn-module
href: articles/examples/basic-nn-module.html
- text: dataset
href: articles/examples/dataset.html
reference:
- title: Tensor creation utilities
contents:
- torch_empty
- torch_arange
- torch_eye
- torch_full
- torch_linspace
- torch_logspace
- torch_ones
- torch_rand
- torch_randint
- torch_randn
- torch_randperm
- torch_zeros
- matches("torch_.*_like")
- as_array
- torch_tensor_from_buffer
- title: Tensor attributes
contents:
- has_concept("tensor-attributes")
- is_torch_layout
- is_torch_memory_format
- is_torch_qscheme
- is_undefined_tensor
- title: Serialization
contents:
- has_concept("serialization")
- clone_module
- title: Mathematical operations on tensors
contents:
- starts_with("torch_")
- -torch_empty
- -torch_arange
- -torch_eye
- -torch_full
- -torch_linspace
- -torch_logspace
- -torch_ones
- -torch_rand
- -torch_randint
- -torch_randn
- -torch_randperm
- -torch_zeros
- -matches("torch_.*_like")
- -has_concept("tensor-attributes")
- -has_concept("serialization")
- broadcast_all
- title: Neural network modules
contents:
- starts_with("nn_")
- is_nn_module
- is_nn_parameter
- is_nn_buffer
- title: Neural networks functional module
contents:
- starts_with("nnf_")
- tile: Device managig
contents:
- torch_device
- local_device
- title: Optimizers
contents:
- optimizer
- starts_with("optim_")
- is_optimizer
- title: Learning rate schedulers
contents:
- starts_with("lr_")
- title: Datasets
contents:
- starts_with("dataset")
- iterable_dataset
- starts_with("dataloader")
- starts_with("enumerate")
- tensor_dataset
- is_dataloader
- sampler
- title: Distributions
contents:
- Distribution
- starts_with("distr")
- Constraint
- title: Autograd
contents:
- starts_with("autograd_")
- with_no_grad
- with_enable_grad
- with_detect_anomaly
- AutogradContext
- title: Mixed precision
contents:
- local_autocast
- with_autocast
- set_autocast
- unset_autocast
- starts_with("cuda_amp_")
- title: Random numbers
contents:
- torch_manual_seed
- with_torch_manual_seed
- local_torch_manual_seed
- torch_get_rng_state
- torch_set_rng_state
- cuda_get_rng_state
- cuda_set_rng_state
- title: Linear Algebra
contents:
- starts_with("linalg_")
- title: Cuda utilities
contents:
- starts_with("cuda_")
- title: JIT
contents:
- starts_with("jit")
- title: Backends
contents:
- starts_with("backends_")
- title: Installation
contents:
- install_torch
- starts_with("install_")
- get_install_libs_url
- title: Contrib
contents:
- contrib_sort_vertices