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<h1>Source code for torch</h1><div class="highlight"><pre>
<span></span><span class="sd">"""</span>
<span class="sd">The torch package contains data structures for multi-dimensional</span>
<span class="sd">tensors and defines mathematical operations over these tensors.</span>
<span class="sd">Additionally, it provides many utilities for efficient serialization of</span>
<span class="sd">Tensors and arbitrary types, and other useful utilities.</span>
<span class="sd">It has a CUDA counterpart, that enables you to run your tensor computations</span>
<span class="sd">on an NVIDIA GPU with compute capability >= 3.0.</span>
<span class="sd">"""</span>
<span class="c1"># mypy: allow-untyped-defs</span>
<span class="kn">import</span> <span class="nn">builtins</span>
<span class="kn">import</span> <span class="nn">ctypes</span>
<span class="kn">import</span> <span class="nn">glob</span>
<span class="kn">import</span> <span class="nn">importlib</span>
<span class="kn">import</span> <span class="nn">inspect</span>
<span class="kn">import</span> <span class="nn">math</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">platform</span>
<span class="kn">import</span> <span class="nn">sys</span>
<span class="kn">import</span> <span class="nn">textwrap</span>
<span class="kn">import</span> <span class="nn">threading</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">Any</span> <span class="k">as</span> <span class="n">_Any</span><span class="p">,</span>
<span class="n">Callable</span> <span class="k">as</span> <span class="n">_Callable</span><span class="p">,</span>
<span class="n">Dict</span> <span class="k">as</span> <span class="n">_Dict</span><span class="p">,</span>
<span class="n">Optional</span> <span class="k">as</span> <span class="n">_Optional</span><span class="p">,</span>
<span class="n">overload</span> <span class="k">as</span> <span class="n">_overload</span><span class="p">,</span>
<span class="n">Set</span> <span class="k">as</span> <span class="n">_Set</span><span class="p">,</span>
<span class="n">Tuple</span> <span class="k">as</span> <span class="n">_Tuple</span><span class="p">,</span>
<span class="n">Type</span> <span class="k">as</span> <span class="n">_Type</span><span class="p">,</span>
<span class="n">TYPE_CHECKING</span><span class="p">,</span>
<span class="n">TypeVar</span> <span class="k">as</span> <span class="n">_TypeVar</span><span class="p">,</span>
<span class="n">Union</span> <span class="k">as</span> <span class="n">_Union</span><span class="p">,</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">typing_extensions</span> <span class="kn">import</span> <span class="n">ParamSpec</span> <span class="k">as</span> <span class="n">_ParamSpec</span><span class="p">,</span> <span class="n">TypeGuard</span> <span class="k">as</span> <span class="n">_TypeGuard</span>
<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">.types</span> <span class="kn">import</span> <span class="n">IntLikeType</span>
<span class="c1"># multipy/deploy is setting this import before importing torch, this is the most</span>
<span class="c1"># reliable way we have to detect if we're running within deploy.</span>
<span class="c1"># https://github.com/pytorch/multipy/blob/d60f34ad38c371e441fe7ffdb77a3c3dda5a5d19/multipy/runtime/interpreter/interpreter_impl.cpp#L134-L137</span>
<span class="k">def</span> <span class="nf">_running_with_deploy</span><span class="p">()</span> <span class="o">-></span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="n">sys</span><span class="o">.</span><span class="n">modules</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"torch._meta_registrations"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="ow">is</span> <span class="nb">object</span>
<span class="kn">from</span> <span class="nn">torch._utils</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">_functionalize_sync</span> <span class="k">as</span> <span class="n">_sync</span><span class="p">,</span>
<span class="n">_import_dotted_name</span><span class="p">,</span>
<span class="n">classproperty</span><span class="p">,</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">torch._utils_internal</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">get_file_path</span><span class="p">,</span>
<span class="n">prepare_multiprocessing_environment</span><span class="p">,</span>
<span class="n">USE_GLOBAL_DEPS</span><span class="p">,</span>
<span class="n">USE_RTLD_GLOBAL_WITH_LIBTORCH</span><span class="p">,</span>
<span class="p">)</span>
<span class="c1"># TODO(torch_deploy) figure out how to freeze version.py in fbcode build</span>
<span class="k">if</span> <span class="n">_running_with_deploy</span><span class="p">():</span>
<span class="n">__version__</span> <span class="o">=</span> <span class="s2">"torch-deploy-1.8"</span>
<span class="k">else</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">torch.torch_version</span> <span class="kn">import</span> <span class="n">__version__</span> <span class="k">as</span> <span class="n">__version__</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">"BoolStorage"</span><span class="p">,</span>
<span class="s2">"BoolTensor"</span><span class="p">,</span>
<span class="s2">"ByteStorage"</span><span class="p">,</span>
<span class="s2">"ByteTensor"</span><span class="p">,</span>
<span class="s2">"CharStorage"</span><span class="p">,</span>
<span class="s2">"CharTensor"</span><span class="p">,</span>
<span class="s2">"DoubleStorage"</span><span class="p">,</span>
<span class="s2">"DoubleTensor"</span><span class="p">,</span>
<span class="s2">"FloatStorage"</span><span class="p">,</span>
<span class="s2">"FloatTensor"</span><span class="p">,</span>
<span class="s2">"GradScaler"</span><span class="p">,</span>
<span class="s2">"IntStorage"</span><span class="p">,</span>
<span class="s2">"IntTensor"</span><span class="p">,</span>
<span class="s2">"LongStorage"</span><span class="p">,</span>
<span class="s2">"LongTensor"</span><span class="p">,</span>
<span class="s2">"ShortStorage"</span><span class="p">,</span>
<span class="s2">"ShortTensor"</span><span class="p">,</span>
<span class="s2">"SymBool"</span><span class="p">,</span>
<span class="s2">"SymFloat"</span><span class="p">,</span>
<span class="s2">"SymInt"</span><span class="p">,</span>
<span class="s2">"Tensor"</span><span class="p">,</span>
<span class="s2">"TypedStorage"</span><span class="p">,</span>
<span class="s2">"UntypedStorage"</span><span class="p">,</span>
<span class="s2">"are_deterministic_algorithms_enabled"</span><span class="p">,</span>
<span class="s2">"autocast"</span><span class="p">,</span>
<span class="s2">"chunk"</span><span class="p">,</span>
<span class="s2">"compile"</span><span class="p">,</span>
<span class="s2">"cond"</span><span class="p">,</span>
<span class="s2">"enable_grad"</span><span class="p">,</span>
<span class="s2">"export"</span><span class="p">,</span>
<span class="s2">"get_default_device"</span><span class="p">,</span>
<span class="s2">"get_deterministic_debug_mode"</span><span class="p">,</span>
<span class="s2">"get_device_module"</span><span class="p">,</span>
<span class="s2">"get_float32_matmul_precision"</span><span class="p">,</span>
<span class="s2">"get_rng_state"</span><span class="p">,</span>
<span class="s2">"inference_mode"</span><span class="p">,</span>
<span class="s2">"initial_seed"</span><span class="p">,</span>
<span class="s2">"is_deterministic_algorithms_warn_only_enabled"</span><span class="p">,</span>
<span class="s2">"is_storage"</span><span class="p">,</span>
<span class="s2">"is_tensor"</span><span class="p">,</span>
<span class="s2">"is_warn_always_enabled"</span><span class="p">,</span>
<span class="s2">"load"</span><span class="p">,</span>
<span class="s2">"lobpcg"</span><span class="p">,</span>
<span class="s2">"manual_seed"</span><span class="p">,</span>
<span class="s2">"matmul"</span><span class="p">,</span>
<span class="s2">"no_grad"</span><span class="p">,</span>
<span class="s2">"rand"</span><span class="p">,</span>
<span class="s2">"randn"</span><span class="p">,</span>
<span class="s2">"save"</span><span class="p">,</span>
<span class="s2">"seed"</span><span class="p">,</span>
<span class="s2">"set_default_device"</span><span class="p">,</span>
<span class="s2">"set_default_tensor_type"</span><span class="p">,</span>
<span class="s2">"set_deterministic_debug_mode"</span><span class="p">,</span>
<span class="s2">"set_float32_matmul_precision"</span><span class="p">,</span>
<span class="s2">"set_printoptions"</span><span class="p">,</span>
<span class="s2">"set_rng_state"</span><span class="p">,</span>
<span class="s2">"set_warn_always"</span><span class="p">,</span>
<span class="s2">"split"</span><span class="p">,</span>
<span class="s2">"stack"</span><span class="p">,</span>
<span class="s2">"sym_float"</span><span class="p">,</span>
<span class="s2">"sym_int"</span><span class="p">,</span>
<span class="s2">"sym_ite"</span><span class="p">,</span>
<span class="s2">"sym_max"</span><span class="p">,</span>
<span class="s2">"sym_min"</span><span class="p">,</span>
<span class="s2">"sym_not"</span><span class="p">,</span>
<span class="s2">"typename"</span><span class="p">,</span>
<span class="s2">"unravel_index"</span><span class="p">,</span>
<span class="s2">"use_deterministic_algorithms"</span><span class="p">,</span>
<span class="s2">"vmap"</span><span class="p">,</span>
<span class="p">]</span>
<span class="c1"># Please keep this list sorted</span>
<span class="k">assert</span> <span class="n">__all__</span> <span class="o">==</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">__all__</span><span class="p">)</span>
<span class="c1">################################################################################</span>
<span class="c1"># Load the extension module</span>
<span class="c1">################################################################################</span>
<span class="k">if</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span> <span class="o">==</span> <span class="s2">"win32"</span><span class="p">:</span>
<span class="k">def</span> <span class="nf">_load_dll_libraries</span><span class="p">()</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="kn">import</span> <span class="nn">sysconfig</span>
<span class="kn">from</span> <span class="nn">torch.version</span> <span class="kn">import</span> <span class="n">cuda</span> <span class="k">as</span> <span class="n">cuda_version</span>
<span class="n">pfiles_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">"ProgramFiles"</span><span class="p">,</span> <span class="sa">r</span><span class="s2">"C:\Program Files"</span><span class="p">)</span>
<span class="n">py_dll_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">sys</span><span class="o">.</span><span class="n">exec_prefix</span><span class="p">,</span> <span class="s2">"Library"</span><span class="p">,</span> <span class="s2">"bin"</span><span class="p">)</span>
<span class="n">th_dll_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="vm">__file__</span><span class="p">),</span> <span class="s2">"lib"</span><span class="p">)</span>
<span class="n">usebase_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
<span class="n">sysconfig</span><span class="o">.</span><span class="n">get_config_var</span><span class="p">(</span><span class="s2">"userbase"</span><span class="p">),</span> <span class="s2">"Library"</span><span class="p">,</span> <span class="s2">"bin"</span>
<span class="p">)</span>
<span class="c1"># When users create a virtualenv that inherits the base environment,</span>
<span class="c1"># we will need to add the corresponding library directory into</span>
<span class="c1"># DLL search directories. Otherwise, it will rely on `PATH` which</span>
<span class="c1"># is dependent on user settings.</span>
<span class="k">if</span> <span class="n">sys</span><span class="o">.</span><span class="n">exec_prefix</span> <span class="o">!=</span> <span class="n">sys</span><span class="o">.</span><span class="n">base_exec_prefix</span><span class="p">:</span>
<span class="n">base_py_dll_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">sys</span><span class="o">.</span><span class="n">base_exec_prefix</span><span class="p">,</span> <span class="s2">"Library"</span><span class="p">,</span> <span class="s2">"bin"</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">base_py_dll_path</span> <span class="o">=</span> <span class="s2">""</span>
<span class="n">dll_paths</span> <span class="o">=</span> <span class="p">[</span>
<span class="n">p</span>
<span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="p">(</span><span class="n">th_dll_path</span><span class="p">,</span> <span class="n">py_dll_path</span><span class="p">,</span> <span class="n">base_py_dll_path</span><span class="p">,</span> <span class="n">usebase_path</span><span class="p">)</span>
<span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">p</span><span class="p">)</span>
<span class="p">]</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">builtins</span><span class="o">.</span><span class="n">any</span><span class="p">(</span>
<span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">"nvToolsExt64_1.dll"</span><span class="p">))</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">dll_paths</span>
<span class="p">):</span>
<span class="n">nvtoolsext_dll_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
<span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span>
<span class="s2">"NVTOOLSEXT_PATH"</span><span class="p">,</span>
<span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">pfiles_path</span><span class="p">,</span> <span class="s2">"NVIDIA Corporation"</span><span class="p">,</span> <span class="s2">"NvToolsExt"</span><span class="p">),</span>
<span class="p">),</span>
<span class="s2">"bin"</span><span class="p">,</span>
<span class="s2">"x64"</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">nvtoolsext_dll_path</span> <span class="o">=</span> <span class="s2">""</span>
<span class="k">if</span> <span class="n">cuda_version</span> <span class="ow">and</span> <span class="n">builtins</span><span class="o">.</span><span class="n">all</span><span class="p">(</span>
<span class="ow">not</span> <span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">"cudart64*.dll"</span><span class="p">))</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">dll_paths</span>
<span class="p">):</span>
<span class="n">cuda_version_1</span> <span class="o">=</span> <span class="n">cuda_version</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">"_"</span><span class="p">)</span>
<span class="n">cuda_path_var</span> <span class="o">=</span> <span class="s2">"CUDA_PATH_V"</span> <span class="o">+</span> <span class="n">cuda_version_1</span>
<span class="n">default_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
<span class="n">pfiles_path</span><span class="p">,</span> <span class="s2">"NVIDIA GPU Computing Toolkit"</span><span class="p">,</span> <span class="s2">"CUDA"</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"v</span><span class="si">{</span><span class="n">cuda_version</span><span class="si">}</span><span class="s2">"</span>
<span class="p">)</span>
<span class="n">cuda_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="n">cuda_path_var</span><span class="p">,</span> <span class="n">default_path</span><span class="p">),</span> <span class="s2">"bin"</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">cuda_path</span> <span class="o">=</span> <span class="s2">""</span>
<span class="n">dll_paths</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span>
<span class="n">p</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="p">(</span><span class="n">nvtoolsext_dll_path</span><span class="p">,</span> <span class="n">cuda_path</span><span class="p">)</span> <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">p</span><span class="p">)</span>
<span class="p">)</span>
<span class="n">kernel32</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">WinDLL</span><span class="p">(</span><span class="s2">"kernel32.dll"</span><span class="p">,</span> <span class="n">use_last_error</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">with_load_library_flags</span> <span class="o">=</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">kernel32</span><span class="p">,</span> <span class="s2">"AddDllDirectory"</span><span class="p">)</span>
<span class="n">prev_error_mode</span> <span class="o">=</span> <span class="n">kernel32</span><span class="o">.</span><span class="n">SetErrorMode</span><span class="p">(</span><span class="mh">0x0001</span><span class="p">)</span>
<span class="n">kernel32</span><span class="o">.</span><span class="n">LoadLibraryW</span><span class="o">.</span><span class="n">restype</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">c_void_p</span>
<span class="k">if</span> <span class="n">with_load_library_flags</span><span class="p">:</span>
<span class="n">kernel32</span><span class="o">.</span><span class="n">LoadLibraryExW</span><span class="o">.</span><span class="n">restype</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">c_void_p</span>
<span class="k">for</span> <span class="n">dll_path</span> <span class="ow">in</span> <span class="n">dll_paths</span><span class="p">:</span>
<span class="n">os</span><span class="o">.</span><span class="n">add_dll_directory</span><span class="p">(</span><span class="n">dll_path</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="s2">"vcruntime140.dll"</span><span class="p">)</span>
<span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="s2">"msvcp140.dll"</span><span class="p">)</span>
<span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="s2">"vcruntime140_1.dll"</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">OSError</span><span class="p">:</span>
<span class="nb">print</span><span class="p">(</span>
<span class="n">textwrap</span><span class="o">.</span><span class="n">dedent</span><span class="p">(</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Microsoft Visual C++ Redistributable is not installed, this may lead to the DLL load failure.</span>
<span class="sd"> It can be downloaded at https://aka.ms/vs/16/release/vc_redist.x64.exe</span>
<span class="sd"> """</span>
<span class="p">)</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
<span class="p">)</span>
<span class="n">dlls</span> <span class="o">=</span> <span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">th_dll_path</span><span class="p">,</span> <span class="s2">"*.dll"</span><span class="p">))</span>
<span class="n">path_patched</span> <span class="o">=</span> <span class="kc">False</span>
<span class="k">for</span> <span class="n">dll</span> <span class="ow">in</span> <span class="n">dlls</span><span class="p">:</span>
<span class="n">is_loaded</span> <span class="o">=</span> <span class="kc">False</span>
<span class="k">if</span> <span class="n">with_load_library_flags</span><span class="p">:</span>
<span class="n">res</span> <span class="o">=</span> <span class="n">kernel32</span><span class="o">.</span><span class="n">LoadLibraryExW</span><span class="p">(</span><span class="n">dll</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mh">0x00001100</span><span class="p">)</span>
<span class="n">last_error</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">get_last_error</span><span class="p">()</span>
<span class="k">if</span> <span class="n">res</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">last_error</span> <span class="o">!=</span> <span class="mi">126</span><span class="p">:</span>
<span class="n">err</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">WinError</span><span class="p">(</span><span class="n">last_error</span><span class="p">)</span>
<span class="n">err</span><span class="o">.</span><span class="n">strerror</span> <span class="o">+=</span> <span class="p">(</span>
<span class="sa">f</span><span class="s1">' Error loading "</span><span class="si">{</span><span class="n">dll</span><span class="si">}</span><span class="s1">" or one of its dependencies.'</span>
<span class="p">)</span>
<span class="k">raise</span> <span class="n">err</span>
<span class="k">elif</span> <span class="n">res</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">is_loaded</span> <span class="o">=</span> <span class="kc">True</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">is_loaded</span><span class="p">:</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">path_patched</span><span class="p">:</span>
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"PATH"</span><span class="p">]</span> <span class="o">=</span> <span class="s2">";"</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dll_paths</span> <span class="o">+</span> <span class="p">[</span><span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"PATH"</span><span class="p">]])</span>
<span class="n">path_patched</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">res</span> <span class="o">=</span> <span class="n">kernel32</span><span class="o">.</span><span class="n">LoadLibraryW</span><span class="p">(</span><span class="n">dll</span><span class="p">)</span>
<span class="k">if</span> <span class="n">res</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">err</span> <span class="o">=</span> <span class="n">ctypes</span><span class="o">.</span><span class="n">WinError</span><span class="p">(</span><span class="n">ctypes</span><span class="o">.</span><span class="n">get_last_error</span><span class="p">())</span>
<span class="n">err</span><span class="o">.</span><span class="n">strerror</span> <span class="o">+=</span> <span class="p">(</span>
<span class="sa">f</span><span class="s1">' Error loading "</span><span class="si">{</span><span class="n">dll</span><span class="si">}</span><span class="s1">" or one of its dependencies.'</span>
<span class="p">)</span>
<span class="k">raise</span> <span class="n">err</span>
<span class="n">kernel32</span><span class="o">.</span><span class="n">SetErrorMode</span><span class="p">(</span><span class="n">prev_error_mode</span><span class="p">)</span>
<span class="n">_load_dll_libraries</span><span class="p">()</span>
<span class="k">del</span> <span class="n">_load_dll_libraries</span>
<span class="k">def</span> <span class="nf">_preload_cuda_deps</span><span class="p">(</span><span class="n">lib_folder</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">lib_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Preloads cuda deps if they could not be found otherwise."""</span>
<span class="c1"># Should only be called on Linux if default path resolution have failed</span>
<span class="k">assert</span> <span class="n">platform</span><span class="o">.</span><span class="n">system</span><span class="p">()</span> <span class="o">==</span> <span class="s2">"Linux"</span><span class="p">,</span> <span class="s2">"Should only be called on Linux"</span>
<span class="n">lib_path</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">for</span> <span class="n">path</span> <span class="ow">in</span> <span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="p">:</span>
<span class="n">nvidia_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="s2">"nvidia"</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">nvidia_path</span><span class="p">):</span>
<span class="k">continue</span>
<span class="n">candidate_lib_paths</span> <span class="o">=</span> <span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span>
<span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">nvidia_path</span><span class="p">,</span> <span class="n">lib_folder</span><span class="p">,</span> <span class="s2">"lib"</span><span class="p">,</span> <span class="n">lib_name</span><span class="p">)</span>
<span class="p">)</span>
<span class="k">if</span> <span class="n">candidate_lib_paths</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">lib_path</span><span class="p">:</span>
<span class="n">lib_path</span> <span class="o">=</span> <span class="n">candidate_lib_paths</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="k">if</span> <span class="n">lib_path</span><span class="p">:</span>
<span class="k">break</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">lib_path</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">lib_name</span><span class="si">}</span><span class="s2"> not found in the system path </span><span class="si">{</span><span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="n">lib_path</span><span class="p">)</span>
<span class="c1"># See Note [Global dependencies]</span>
<span class="k">def</span> <span class="nf">_load_global_deps</span><span class="p">()</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="k">if</span> <span class="n">_running_with_deploy</span><span class="p">()</span> <span class="ow">or</span> <span class="n">platform</span><span class="o">.</span><span class="n">system</span><span class="p">()</span> <span class="o">==</span> <span class="s2">"Windows"</span><span class="p">:</span>
<span class="k">return</span>
<span class="c1"># Determine the file extension based on the platform</span>
<span class="n">lib_ext</span> <span class="o">=</span> <span class="s2">".dylib"</span> <span class="k">if</span> <span class="n">platform</span><span class="o">.</span><span class="n">system</span><span class="p">()</span> <span class="o">==</span> <span class="s2">"Darwin"</span> <span class="k">else</span> <span class="s2">".so"</span>
<span class="n">lib_name</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"libtorch_global_deps</span><span class="si">{</span><span class="n">lib_ext</span><span class="si">}</span><span class="s2">"</span>
<span class="n">here</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="vm">__file__</span><span class="p">)</span>
<span class="n">global_deps_lib_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">here</span><span class="p">),</span> <span class="s2">"lib"</span><span class="p">,</span> <span class="n">lib_name</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="n">global_deps_lib_path</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">ctypes</span><span class="o">.</span><span class="n">RTLD_GLOBAL</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">OSError</span> <span class="k">as</span> <span class="n">err</span><span class="p">:</span>
<span class="c1"># Can only happen for wheel with cuda libs as PYPI deps</span>
<span class="c1"># As PyTorch is not purelib, but nvidia-*-cu12 is</span>
<span class="n">cuda_libs</span><span class="p">:</span> <span class="n">_Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="s2">"cublas"</span><span class="p">:</span> <span class="s2">"libcublas.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"cudnn"</span><span class="p">:</span> <span class="s2">"libcudnn.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"cuda_nvrtc"</span><span class="p">:</span> <span class="s2">"libnvrtc.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"cuda_runtime"</span><span class="p">:</span> <span class="s2">"libcudart.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"cuda_cupti"</span><span class="p">:</span> <span class="s2">"libcupti.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"cufft"</span><span class="p">:</span> <span class="s2">"libcufft.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"cufile"</span><span class="p">:</span> <span class="s2">"libcufile.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"curand"</span><span class="p">:</span> <span class="s2">"libcurand.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"nvjitlink"</span><span class="p">:</span> <span class="s2">"libnvJitLink.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"cusparse"</span><span class="p">:</span> <span class="s2">"libcusparse.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"cusolver"</span><span class="p">:</span> <span class="s2">"libcusolver.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"nccl"</span><span class="p">:</span> <span class="s2">"libnccl.so.*[0-9]"</span><span class="p">,</span>
<span class="s2">"nvtx"</span><span class="p">:</span> <span class="s2">"libnvToolsExt.so.*[0-9]"</span><span class="p">,</span>
<span class="p">}</span>
<span class="n">is_cuda_lib_err</span> <span class="o">=</span> <span class="p">[</span>
<span class="n">lib</span> <span class="k">for</span> <span class="n">lib</span> <span class="ow">in</span> <span class="n">cuda_libs</span><span class="o">.</span><span class="n">values</span><span class="p">()</span> <span class="k">if</span> <span class="n">lib</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"."</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="ow">in</span> <span class="n">err</span><span class="o">.</span><span class="n">args</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="p">]</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">is_cuda_lib_err</span><span class="p">:</span>
<span class="k">raise</span> <span class="n">err</span>
<span class="k">for</span> <span class="n">lib_folder</span><span class="p">,</span> <span class="n">lib_name</span> <span class="ow">in</span> <span class="n">cuda_libs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="n">_preload_cuda_deps</span><span class="p">(</span><span class="n">lib_folder</span><span class="p">,</span> <span class="n">lib_name</span><span class="p">)</span>
<span class="n">ctypes</span><span class="o">.</span><span class="n">CDLL</span><span class="p">(</span><span class="n">global_deps_lib_path</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">ctypes</span><span class="o">.</span><span class="n">RTLD_GLOBAL</span><span class="p">)</span>
<span class="k">if</span> <span class="p">(</span><span class="n">USE_RTLD_GLOBAL_WITH_LIBTORCH</span> <span class="ow">or</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">"TORCH_USE_RTLD_GLOBAL"</span><span class="p">))</span> <span class="ow">and</span> <span class="p">(</span>
<span class="n">_running_with_deploy</span><span class="p">()</span> <span class="ow">or</span> <span class="n">platform</span><span class="o">.</span><span class="n">system</span><span class="p">()</span> <span class="o">!=</span> <span class="s2">"Windows"</span>
<span class="p">):</span>
<span class="c1"># Do it the hard way. You might want to load libtorch with RTLD_GLOBAL in a</span>
<span class="c1"># few circumstances:</span>
<span class="c1">#</span>
<span class="c1"># 1. You're in a build environment (e.g., fbcode) where</span>
<span class="c1"># libtorch_global_deps is not available, but you still need</span>
<span class="c1"># to get mkl to link in with RTLD_GLOBAL or it will just</span>
<span class="c1"># not work.</span>
<span class="c1">#</span>
<span class="c1"># 2. You're trying to run PyTorch under UBSAN and you need</span>
<span class="c1"># to ensure that only one copy of libtorch is loaded, so</span>
<span class="c1"># vptr checks work properly</span>
<span class="c1">#</span>
<span class="c1"># If you're using this setting, you must verify that all the libraries</span>
<span class="c1"># you load consistently use the same libstdc++, or you may have</span>
<span class="c1"># mysterious segfaults.</span>
<span class="c1">#</span>
<span class="n">old_flags</span> <span class="o">=</span> <span class="n">sys</span><span class="o">.</span><span class="n">getdlopenflags</span><span class="p">()</span>
<span class="n">sys</span><span class="o">.</span><span class="n">setdlopenflags</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">RTLD_GLOBAL</span> <span class="o">|</span> <span class="n">os</span><span class="o">.</span><span class="n">RTLD_LAZY</span><span class="p">)</span>
<span class="kn">from</span> <span class="nn">torch._C</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="n">sys</span><span class="o">.</span><span class="n">setdlopenflags</span><span class="p">(</span><span class="n">old_flags</span><span class="p">)</span>
<span class="k">del</span> <span class="n">old_flags</span>
<span class="k">else</span><span class="p">:</span>
<span class="c1"># Easy way. You want this most of the time, because it will prevent</span>
<span class="c1"># C++ symbols from libtorch clobbering C++ symbols from other</span>
<span class="c1"># libraries, leading to mysterious segfaults.</span>
<span class="c1">#</span>
<span class="c1"># If building in an environment where libtorch_global_deps isn't available</span>
<span class="c1"># like parts of fbsource, but where RTLD_GLOBAL causes segfaults, you will</span>
<span class="c1"># want USE_RTLD_GLOBAL_WITH_LIBTORCH = False and USE_GLOBAL_DEPS = False</span>
<span class="c1">#</span>
<span class="c1"># See Note [Global dependencies]</span>
<span class="k">if</span> <span class="n">USE_GLOBAL_DEPS</span><span class="p">:</span>
<span class="n">_load_global_deps</span><span class="p">()</span>
<span class="kn">from</span> <span class="nn">torch._C</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<div class="viewcode-block" id="SymInt"><a class="viewcode-back" href="../torch.html#torch.SymInt">[docs]</a><span class="k">class</span> <span class="nc">SymInt</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Like an int (including magic methods), but redirects all operations on the</span>
<span class="sd"> wrapped node. This is used in particular to symbolically record operations</span>
<span class="sd"> in the symbolic shape workflow.</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">node</span><span class="p">):</span>
<span class="c1"># This field MUST be named node; C++ binding code assumes that this</span>
<span class="c1"># class has a field named node that stores SymNode</span>
<span class="bp">self</span><span class="o">.</span><span class="n">node</span> <span class="o">=</span> <span class="n">node</span>
<span class="k">def</span> <span class="fm">__bool__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">(</span><span class="bp">self</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__int__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">int_</span><span class="p">()</span>
<span class="k">def</span> <span class="fm">__index__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">int_</span><span class="p">()</span>
<span class="c1"># Magic methods installed by torch.fx.experimental.sym_node</span>
<span class="k">def</span> <span class="fm">__round__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ndigits</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">def</span> <span class="fm">__truediv__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">float</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">sym_float</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__float_truediv__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">int</span><span class="p">,</span> <span class="n">SymInt</span><span class="p">)):</span>
<span class="k">return</span> <span class="bp">NotImplemented</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__int_truediv__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__rtruediv__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">float</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">sym_float</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__rfloat_truediv__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">int</span><span class="p">,</span> <span class="n">SymInt</span><span class="p">)):</span>
<span class="k">return</span> <span class="bp">NotImplemented</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__rint_truediv__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__floordiv__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">float</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">sym_float</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">sym_float</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">/</span> <span class="n">other</span><span class="p">))</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">int</span><span class="p">,</span> <span class="n">SymInt</span><span class="p">)):</span>
<span class="k">return</span> <span class="bp">NotImplemented</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__int_floordiv__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__rfloordiv__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">float</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">sym_float</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">other</span> <span class="o">/</span> <span class="n">sym_float</span><span class="p">(</span><span class="bp">self</span><span class="p">)))</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">int</span><span class="p">,</span> <span class="n">SymInt</span><span class="p">)):</span>
<span class="k">return</span> <span class="bp">NotImplemented</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__rint_floordiv__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="c1"># nb: complex is impossible to handle correctly lol, with</span>
<span class="c1"># negative base and integral float need to diverge semantics and</span>
<span class="c1"># just always return complex. Neener neener pretend this problem</span>
<span class="c1"># doesn't exist</span>
<span class="k">def</span> <span class="fm">__pow__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">float</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">sym_float</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__pow__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">int</span><span class="p">,</span> <span class="n">SymInt</span><span class="p">)):</span>
<span class="k">return</span> <span class="bp">NotImplemented</span>
<span class="c1"># Guards! This guard is necessary because we need to know it to</span>
<span class="c1"># determine the output type of this operation</span>
<span class="k">if</span> <span class="n">other</span> <span class="o">>=</span> <span class="mi">0</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__pow_by_natural__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="c1"># Mercifully, when the exponent is negative, Python just promotes</span>
<span class="c1"># to doubles and does a float pow:</span>
<span class="c1">#</span>
<span class="c1"># if (Py_SIZE(b) < 0 && c == NULL) {</span>
<span class="c1"># /* if exponent is negative and there's no modulus:</span>
<span class="c1"># return a float. This works because we know</span>
<span class="c1"># that this calls float_pow() which converts its</span>
<span class="c1"># arguments to double. */</span>
<span class="c1"># Py_DECREF(a);</span>
<span class="c1"># Py_DECREF(b);</span>
<span class="c1"># return PyFloat_Type.tp_as_number->nb_power(v, w, x);</span>
<span class="c1"># }</span>
<span class="k">return</span> <span class="n">sym_float</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__pow__</span><span class="p">(</span><span class="n">sym_float</span><span class="p">(</span><span class="n">other</span><span class="p">))</span>
<span class="k">def</span> <span class="fm">__rpow__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">float</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">sym_float</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__rpow__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="p">(</span><span class="n">builtins</span><span class="o">.</span><span class="n">int</span><span class="p">,</span> <span class="n">SymInt</span><span class="p">)):</span>
<span class="k">return</span> <span class="bp">NotImplemented</span>
<span class="k">if</span> <span class="bp">self</span> <span class="o">>=</span> <span class="mi">0</span><span class="p">:</span> <span class="c1"># self is exponent</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">__rpow_by_natural__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">return</span> <span class="n">sym_float</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__rpow__</span><span class="p">(</span><span class="n">sym_float</span><span class="p">(</span><span class="n">other</span><span class="p">))</span>
<span class="k">def</span> <span class="fm">__eq__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">:</span> <span class="nb">object</span><span class="p">)</span> <span class="o">-></span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__lt__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span> <span class="o">-></span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__gt__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span> <span class="o">-></span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__le__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span> <span class="o">-></span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__ge__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span> <span class="o">-></span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__add__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"SymInt"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__mod__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">:</span> <span class="s2">"IntLikeType"</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"SymInt"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__mul__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"SymInt"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">__pow_by_natural__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"SymInt"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>