Merge pull request #2513 from blahgeek/torch-2.7

Update pytorch scraper, include various 2.x versions

lib/app.rb

@@ -376,6 +376,8 @@ class App < Sinatra::Application
     'angular~1.3' => 'angularjs~1.3',
     'angular~1.2' => 'angularjs~1.2',
     'codeigniter~3.0' => 'codeigniter~3',
+    'pytorch~1' => 'pytorch~1.13',
+    'pytorch~2' => 'pytorch',
     'webpack~2' => 'webpack'
   }
 

lib/docs/filters/pytorch/entries.rb

@@ -1,73 +1,6 @@
 module Docs
   class Pytorch
     class EntriesFilter < Docs::EntriesFilter
-      TYPE_REPLACEMENTS = {
-        "torch.Tensor" => "Tensor",
-        "torch.nn" => "Neuro Network",
-        "Probability distributions - torch.distributions" => "Probability Distributions",
-        "torch" => "Torch",
-        "Quantization" => "Quantization",
-        "torch.optim" => "Optimization",
-        "torch.Storage" => "Storage",
-        "torch.nn.functional" => "NN Functions",
-        "torch.cuda" => "CUDA",
-        "Torch Distributed Elastic" => "Distributed Elastic",
-        "torch.fx" => "FX",
-        "TorchScript" => "Torch Script",
-        "torch.onnx" => "ONNX",
-        "Distributed communication package - torch.distributed" => "Distributed Communication",
-        "Automatic differentiation package - torch.autograd" => "Automatic Differentiation",
-        "torch.linalg" => "Linear Algebra",
-        "Distributed Checkpoint - torch.distributed.checkpoint" => "Distributed Checkpoint",
-        "Distributed RPC Framework" => "Distributed RPC",
-        "torch.special" => "SciPy-like Special",
-        "torch.package" => "Package",
-        "torch.backends" => "Backends",
-        "FullyShardedDataParallel" => "Fully Sharded Data Parallel",
-        "torch.sparse" => "Sparse Tensors",
-        "torch.export" => "Traced Graph Export",
-        "torch.fft" => "Discrete Fourier Transforms",
-        "torch.utils.data" => "Datasets and Data Loaders",
-        "torch.monitor" => "Monitor",
-        "Automatic Mixed Precision package - torch.amp" => "Automatic Mixed Precision",
-        "torch.utils.tensorboard" => "Tensorboard",
-        "torch.profiler" => "Profiler",
-        "torch.mps" => "MPS",
-        "DDP Communication Hooks" => "DDP Communication Hooks",
-        "Benchmark Utils - torch.utils.benchmark" => "Benchmark Utils",
-        "torch.nn.init" => "Parameter Initializations",
-        "Tensor Parallelism - torch.distributed.tensor.parallel" => "Tensor Parallelism",
-        "torch.func" => "JAX-like Function Transforms",
-        "Distributed Optimizers" => "Distributed Optimizers",
-        "torch.signal" => "SciPy-like Signal",
-        "torch.futures" => "Miscellaneous",
-        "torch.utils.cpp_extension" => "Miscellaneous",
-        "torch.overrides" => "Miscellaneous",
-        "Generic Join Context Manager" => "Miscellaneous",
-        "torch.hub" => "Miscellaneous",
-        "torch.cpu" => "Miscellaneous",
-        "torch.random" => "Miscellaneous",
-        "torch.compiler" => "Miscellaneous",
-        "Pipeline Parallelism" => "Miscellaneous",
-        "Named Tensors" => "Miscellaneous",
-        "Multiprocessing package - torch.multiprocessing" => "Miscellaneous",
-        "torch.utils" => "Miscellaneous",
-        "torch.library" => "Miscellaneous",
-        "Tensor Attributes" => "Miscellaneous",
-        "torch.testing" => "Miscellaneous",
-        "torch.nested" => "Miscellaneous",
-        "Understanding CUDA Memory Usage" => "Miscellaneous",
-        "torch.utils.dlpack" => "Miscellaneous",
-        "torch.utils.checkpoint" => "Miscellaneous",
-        "torch.__config__" => "Miscellaneous",
-        "Type Info" => "Miscellaneous",
-        "torch.utils.model_zoo" => "Miscellaneous",
-        "torch.utils.mobile_optimizer" => "Miscellaneous",
-        "torch._logging" => "Miscellaneous",
-        "torch.masked" => "Miscellaneous",
-        "torch.utils.bottleneck" => "Miscellaneous"
-      }
-
       def get_breadcrumbs
         css('.pytorch-breadcrumbs > li').map {
           |node| node.content.delete_suffix(' >').strip
@@ -75,18 +8,11 @@ module Docs
       end
 
       def get_name
-        b = get_breadcrumbs
-        b[(b[1] == 'torch' ? 2 : 1)..].join('.')
+        get_breadcrumbs[-1]
       end
 
       def get_type
-        t = get_breadcrumbs[1]
-        TYPE_REPLACEMENTS.fetch(t, t)
-      end
-
-      def include_default_entry?
-        # Only include API entries to simplify and unify the list
-        return name.start_with?('torch.')
+        get_breadcrumbs[1]
       end
 
       def additional_entries
@@ -108,8 +34,6 @@ module Docs
             entries << [id + '()', id]
           when 'py class', 'py attribute', 'py property'
             entries << [id, id]
-          when 'footnote brackets', 'field-list simple'
-            next
           end
         end
 

lib/docs/scrapers/pytorch.rb

@@ -12,20 +12,56 @@ module Docs
 
     options[:skip] = ['cpp_index.html', 'deploy.html', 'packages.html', 'py-modindex.html', 'genindex.html']
     options[:skip_patterns] = [/\Acommunity/, /\A_modules/, /\Anotes/, /\Aorg\/pytorch\//]
+    options[:max_image_size] = 1_000_000
 
     options[:attribution] = <<-HTML
-    &copy; 2024, PyTorch Contributors<br>
+    &copy; 2025, PyTorch Contributors<br>
     PyTorch has a BSD-style license, as found in the <a href="https://github.com/pytorch/pytorch/blob/main/LICENSE">LICENSE</a> file.
     HTML
 
-    version '2' do
+    version '2.7' do
+      self.release = '2.7'
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
+    end
+
+    version '2.6' do
+      self.release = '2.6'
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
+    end
+
+    version '2.5' do
+      self.release = '2.5'
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
+    end
+
+    version '2.4' do
+      self.release = '2.4'
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
+    end
+
+    version '2.3' do
+      self.release = '2.3'
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
+    end
+
+    version '2.2' do
+      self.release = '2.2'
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
+    end
+
+    version '2.1' do
       self.release = '2.1'
-      self.base_url = "https://pytorch.org/docs/#{release}/"
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
+    end
+
+    version '2.0' do
+      self.release = '2.0'
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
     end
 
-    version '1' do
+    version '1.13' do
       self.release = '1.13'
-      self.base_url = "https://pytorch.org/docs/#{release}/"
+      self.base_url = "https://docs.pytorch.org/docs/#{release}/"
     end
 
     def get_latest_version(opts)