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<h1>Source code for torch</h1><div class="highlight"><pre>
<span></span>
<span class="sa">r</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="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">sys</span>
<span class="kn">import</span> <span class="nn">platform</span>
<span class="kn">import</span> <span class="nn">textwrap</span>
<span class="kn">import</span> <span class="nn">ctypes</span>
<span class="kn">import</span> <span class="nn">inspect</span>
<span class="kn">import</span> <span class="nn">threading</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="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">._utils</span> <span class="kn">import</span> <span class="n">_import_dotted_name</span><span class="p">,</span> <span class="n">classproperty</span>
<span class="kn">from</span> <span class="nn">._utils</span> <span class="kn">import</span> <span class="n">_functionalize_sync</span> <span class="k">as</span> <span class="n">_sync</span>
<span class="kn">from</span> <span class="nn">._utils_internal</span> <span class="kn">import</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_RTLD_GLOBAL_WITH_LIBTORCH</span><span class="p">,</span> <span class="n">USE_GLOBAL_DEPS</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_version</span> <span class="kn">import</span> <span class="n">__version__</span> <span class="k">as</span> <span class="n">__version__</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Set</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Type</span><span class="p">,</span> <span class="n">TYPE_CHECKING</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">List</span>
<span class="kn">import</span> <span class="nn">builtins</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
<span class="s1">'typename'</span><span class="p">,</span> <span class="s1">'is_tensor'</span><span class="p">,</span> <span class="s1">'is_storage'</span><span class="p">,</span>
<span class="s1">'set_default_tensor_type'</span><span class="p">,</span> <span class="s1">'set_default_device'</span><span class="p">,</span> <span class="s1">'get_default_device'</span><span class="p">,</span>
<span class="s1">'set_rng_state'</span><span class="p">,</span> <span class="s1">'get_rng_state'</span><span class="p">,</span> <span class="s1">'manual_seed'</span><span class="p">,</span> <span class="s1">'initial_seed'</span><span class="p">,</span> <span class="s1">'seed'</span><span class="p">,</span>
<span class="s1">'save'</span><span class="p">,</span> <span class="s1">'load'</span><span class="p">,</span> <span class="s1">'set_printoptions'</span><span class="p">,</span> <span class="s1">'chunk'</span><span class="p">,</span> <span class="s1">'split'</span><span class="p">,</span> <span class="s1">'stack'</span><span class="p">,</span> <span class="s1">'matmul'</span><span class="p">,</span>
<span class="s1">'no_grad'</span><span class="p">,</span> <span class="s1">'enable_grad'</span><span class="p">,</span> <span class="s1">'rand'</span><span class="p">,</span> <span class="s1">'randn'</span><span class="p">,</span> <span class="s1">'inference_mode'</span><span class="p">,</span>
<span class="s1">'DoubleStorage'</span><span class="p">,</span> <span class="s1">'FloatStorage'</span><span class="p">,</span> <span class="s1">'LongStorage'</span><span class="p">,</span> <span class="s1">'IntStorage'</span><span class="p">,</span>
<span class="s1">'ShortStorage'</span><span class="p">,</span> <span class="s1">'CharStorage'</span><span class="p">,</span> <span class="s1">'ByteStorage'</span><span class="p">,</span> <span class="s1">'BoolStorage'</span><span class="p">,</span>
<span class="s1">'TypedStorage'</span><span class="p">,</span> <span class="s1">'UntypedStorage'</span><span class="p">,</span>
<span class="s1">'DoubleTensor'</span><span class="p">,</span> <span class="s1">'FloatTensor'</span><span class="p">,</span> <span class="s1">'LongTensor'</span><span class="p">,</span> <span class="s1">'IntTensor'</span><span class="p">,</span>
<span class="s1">'ShortTensor'</span><span class="p">,</span> <span class="s1">'CharTensor'</span><span class="p">,</span> <span class="s1">'ByteTensor'</span><span class="p">,</span> <span class="s1">'BoolTensor'</span><span class="p">,</span> <span class="s1">'Tensor'</span><span class="p">,</span>
<span class="s1">'lobpcg'</span><span class="p">,</span> <span class="s1">'use_deterministic_algorithms'</span><span class="p">,</span>
<span class="s1">'are_deterministic_algorithms_enabled'</span><span class="p">,</span>
<span class="s1">'is_deterministic_algorithms_warn_only_enabled'</span><span class="p">,</span>
<span class="s1">'set_deterministic_debug_mode'</span><span class="p">,</span> <span class="s1">'get_deterministic_debug_mode'</span><span class="p">,</span>
<span class="s1">'set_float32_matmul_precision'</span><span class="p">,</span> <span class="s1">'get_float32_matmul_precision'</span><span class="p">,</span>
<span class="s1">'set_warn_always'</span><span class="p">,</span> <span class="s1">'is_warn_always_enabled'</span><span class="p">,</span> <span class="s1">'SymInt'</span><span class="p">,</span> <span class="s1">'SymFloat'</span><span class="p">,</span>
<span class="s1">'SymBool'</span><span class="p">,</span> <span class="s1">'sym_not'</span><span class="p">,</span> <span class="s1">'unravel_index'</span><span class="p">,</span>
<span class="s1">'sym_int'</span><span class="p">,</span> <span class="s1">'sym_float'</span><span class="p">,</span> <span class="s1">'sym_max'</span><span class="p">,</span> <span class="s1">'sym_min'</span><span class="p">,</span> <span class="s1">'sym_ite'</span><span class="p">,</span> <span class="s1">'compile'</span><span class="p">,</span> <span class="s1">'vmap'</span><span class="p">,</span>
<span class="s1">'export'</span><span class="p">,</span> <span class="s1">'autocast'</span><span class="p">,</span> <span class="s1">'cond'</span><span class="p">,</span> <span class="s1">'GradScaler'</span><span class="p">,</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="s1">'win32'</span><span class="p">:</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="s1">'ProgramFiles'</span><span class="p">,</span> <span class="s1">'C:</span><span class="se">\\</span><span class="s1">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="s1">'Library'</span><span class="p">,</span> <span class="s1">'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="s1">'lib'</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="s1">'Library'</span><span class="p">,</span> <span class="s1">'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="s1">''</span>
<span class="n">dll_paths</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">filter</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="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="k">if</span> <span class="nb">all</span><span class="p">(</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">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="s1">'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="s1">'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="s1">'NVIDIA Corporation'</span><span class="p">,</span> <span class="s1">'NvToolsExt'</span><span class="p">)),</span> <span class="s1">'bin'</span><span class="p">,</span> <span class="s1">'x64'</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="s1">''</span>
<span class="kn">from</span> <span class="nn">.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="kn">import</span> <span class="nn">glob</span>
<span class="k">if</span> <span class="n">cuda_version</span> <span class="ow">and</span> <span class="nb">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="s1">'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="s1">'.'</span><span class="p">,</span> <span class="s1">'_'</span><span class="p">)</span>
<span class="n">cuda_path_var</span> <span class="o">=</span> <span class="s1">'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="s1">'NVIDIA GPU Computing Toolkit'</span><span class="p">,</span> <span class="s1">'CUDA'</span><span class="p">,</span> <span class="s1">'v'</span> <span class="o">+</span> <span class="n">cuda_version</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="s1">'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="s1">''</span>
<span class="n">dll_paths</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="nb">filter</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="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="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="s1">'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="s1">'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="s1">'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="s1">'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="s1">'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="s1">'''Microsoft Visual C++ Redistributable is not installed, this may lead to the DLL load failure.</span>
<span class="s1"> It can be downloaded at https://aka.ms/vs/16/release/vc_redist.x64.exe'''</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="s1">'*.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="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="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="s1">'PATH'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">';'</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="s1">'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="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="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="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="n">lib_name</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="s1">'Linux'</span><span class="p">,</span> <span class="s1">'Should only be called on Linux'</span>
<span class="kn">import</span> <span class="nn">glob</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="s1">'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="s1">'lib'</span><span class="p">,</span> <span class="n">lib_name</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="s1">'Windows'</span><span class="p">:</span>
<span class="k">return</span>
<span class="n">lib_name</span> <span class="o">=</span> <span class="s1">'libtorch_global_deps'</span> <span class="o">+</span> <span class="p">(</span><span class="s1">'.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="s1">'Darwin'</span> <span class="k">else</span> <span class="s1">'.so'</span><span class="p">)</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">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="s1">'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">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="s1">'cublas'</span><span class="p">:</span> <span class="s1">'libcublas.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'cudnn'</span><span class="p">:</span> <span class="s1">'libcudnn.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'cuda_nvrtc'</span><span class="p">:</span> <span class="s1">'libnvrtc.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'cuda_runtime'</span><span class="p">:</span> <span class="s1">'libcudart.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'cuda_cupti'</span><span class="p">:</span> <span class="s1">'libcupti.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'cufft'</span><span class="p">:</span> <span class="s1">'libcufft.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'curand'</span><span class="p">:</span> <span class="s1">'libcurand.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'cusolver'</span><span class="p">:</span> <span class="s1">'libcusolver.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'cusparse'</span><span class="p">:</span> <span class="s1">'libcusparse.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'nccl'</span><span class="p">:</span> <span class="s1">'libnccl.so.*[0-9]'</span><span class="p">,</span>
<span class="s1">'nvtx'</span><span class="p">:</span> <span class="s1">'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="s1">'.'</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="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">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="s1">'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="s1">'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>
<span class="c1"># Appease the type checker; ordinarily this binding is inserted by the</span>
<span class="c1"># torch._C module initialization code in C</span>
<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">_C</span> <span class="k">as</span> <span class="n">_C</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">__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">AssertionError</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">AssertionError</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">AssertionError</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">AssertionError</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">AssertionError</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">AssertionError</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">AssertionError</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">__sym_max__</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">raise</span> <span class="ne">AssertionError</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">__sym_min__</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">raise</span> <span class="ne">AssertionError</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">__sym_float__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">AssertionError</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">__neg__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">AssertionError</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">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__hash__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">builtins</span><span class="o">.</span><span class="n">int</span><span class="p">:</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">is_nested_int</span><span class="p">():</span>
<span class="k">return</span> <span class="nb">hash</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">nested_int</span><span class="p">())</span>
<span class="k">else</span><span class="p">:</span>
<span class="c1"># We could support constant SymInts as well, but not doing it for now</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"unhashable type: non-nested SymInt"</span><span class="p">)</span></div>
<div class="viewcode-block" id="SymFloat"><a class="viewcode-back" href="../torch.html#torch.SymFloat">[docs]</a><span class="k">class</span> <span class="nc">SymFloat</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Like an float (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="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">bool_</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">__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">AssertionError</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">AssertionError</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">AssertionError</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">AssertionError</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">AssertionError</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">__sym_max__</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">raise</span> <span class="ne">AssertionError</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">__sym_min__</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">raise</span> <span class="ne">AssertionError</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">__sym_int__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">AssertionError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<div class="viewcode-block" id="SymFloat.is_integer"><a class="viewcode-back" href="../torch.html#torch.SymFloat.is_integer">[docs]</a> <span class="k">def</span> <span class="nf">is_integer</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""Return True if the float is an integer."""</span>
<span class="k">raise</span> <span class="ne">AssertionError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span></div>
<span class="k">def</span> <span class="fm">__repr__</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">str</span><span class="p">()</span></div>
<div class="viewcode-block" id="SymBool"><a class="viewcode-back" href="../torch.html#torch.SymBool">[docs]</a><span class="k">class</span> <span class="nc">SymBool</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Like an bool (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"> Unlike regular bools, regular boolean operators will force extra guards instead</span>
<span class="sd"> of symbolically evaluate. Use the bitwise operators instead to handle this.</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="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">bool_</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="n">builtins</span><span class="o">.</span><span class="n">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">bool_</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">__and__</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">"SymBool"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">AssertionError</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">__or__</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">"SymBool"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">AssertionError</span><span class="p">(</span><span class="s2">"type stub not overridden"</span><span class="p">)</span>
<span class="c1"># We very carefully define __sym_not__, and not a number of other</span>
<span class="c1"># plausible alternatives:</span>
<span class="c1">#</span>
<span class="c1"># - We do not override __not__ because this is not a real magic</span>
<span class="c1"># method; you cannot override the meaning of the not builtin in</span>
<span class="c1"># Python. We use the name 'sym_not' to clarify that in user code you</span>
<span class="c1"># cannot use the builtin not or operator.not_ or operator.__not__ and</span>
<span class="c1"># hit this magic method; you must use our custom sym_not operator.</span>
<span class="c1">#</span>
<span class="c1"># - We do not override the __invert__ method because SymBool is</span>
<span class="c1"># meant to be usable in situations where bool is expected. However,</span>
<span class="c1"># bitwise negation ~a does the wrong thing with booleans (because</span>
<span class="c1"># bool is a subclass of int, so ~1 = -2 which is not falseish.)</span>
<span class="c1"># This would be a giant footgun, so we get around it by defining</span>
<span class="c1"># our own operator. Note that bitwise and/or do the right thing,</span>
<span class="c1"># so we reuse the conventional operators there for readability.</span>
<span class="c1">#</span>
<span class="k">def</span> <span class="nf">__sym_not__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="s2">"SymBool"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">AssertionError</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">__sym_ite__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">then_val</span><span class="p">,</span> <span class="n">else_val</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">AssertionError</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">__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="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">AssertionError</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">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__hash__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">is_constant</span><span class="p">():</span>
<span class="k">return</span> <span class="nb">hash</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">bool_</span><span class="p">())</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"unhashable type: SymBool"</span><span class="p">)</span></div>
<div class="viewcode-block" id="sym_not"><a class="viewcode-back" href="../generated/torch.sym_not.html#torch.sym_not">[docs]</a><span class="k">def</span> <span class="nf">sym_not</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">""" SymInt-aware utility for logical negation.</span>
<span class="sd"> Args:</span>
<span class="sd"> a (SymBool or bool): Object to negate</span>
<span class="sd"> """</span>
<span class="kn">import</span> <span class="nn">sympy</span>
<span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function_unary</span><span class="p">,</span> <span class="n">handle_torch_function</span>
<span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">sym_not</span><span class="p">,</span> <span class="p">(</span><span class="n">a</span><span class="p">,),</span> <span class="n">a</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="s1">'__sym_not__'</span><span class="p">):</span>
<span class="k">return</span> <span class="n">a</span><span class="o">.</span><span class="n">__sym_not__</span><span class="p">()</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">sympy</span><span class="o">.</span><span class="n">Basic</span><span class="p">):</span>
<span class="k">return</span> <span class="o">~</span><span class="n">a</span> <span class="c1"># type: ignore[operator]</span>
<span class="k">return</span> <span class="ow">not</span> <span class="n">a</span></div>
<div class="viewcode-block" id="sym_float"><a class="viewcode-back" href="../generated/torch.sym_float.html#torch.sym_float">[docs]</a><span class="k">def</span> <span class="nf">sym_float</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">""" SymInt-aware utility for float casting.</span>
<span class="sd"> Args:</span>
<span class="sd"> a (SymInt, SymFloat, or object): Object to cast</span>
<span class="sd"> """</span>
<span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function_unary</span><span class="p">,</span> <span class="n">handle_torch_function</span>
<span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">sym_float</span><span class="p">,</span> <span class="p">(</span><span class="n">a</span><span class="p">,),</span> <span class="n">a</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">):</span>
<span class="k">return</span> <span class="n">a</span>
<span class="k">elif</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="s1">'__sym_float__'</span><span class="p">):</span>
<span class="k">return</span> <span class="n">a</span><span class="o">.</span><span class="n">__sym_float__</span><span class="p">()</span>
<span class="k">return</span> <span class="n">py_float</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="c1"># type: ignore[operator]</span></div>
<div class="viewcode-block" id="sym_int"><a class="viewcode-back" href="../generated/torch.sym_int.html#torch.sym_int">[docs]</a><span class="k">def</span> <span class="nf">sym_int</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">""" SymInt-aware utility for int casting.</span>
<span class="sd"> Args:</span>
<span class="sd"> a (SymInt, SymFloat, or object): Object to cast</span>
<span class="sd"> """</span>
<span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function_unary</span><span class="p">,</span> <span class="n">handle_torch_function</span>
<span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">sym_int</span><span class="p">,</span> <span class="p">(</span><span class="n">a</span><span class="p">,),</span> <span class="n">a</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">SymInt</span><span class="p">):</span>
<span class="k">return</span> <span class="n">a</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">):</span>
<span class="k">return</span> <span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="k">if</span> <span class="n">a</span> <span class="o">>=</span> <span class="mi">0</span> <span class="k">else</span> <span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="c1"># type: ignore[arg-type, call-overload]</span>
<span class="k">return</span> <span class="n">py_int</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="c1"># type: ignore[operator]</span></div>
<div class="viewcode-block" id="sym_max"><a class="viewcode-back" href="../generated/torch.sym_max.html#torch.sym_max">[docs]</a><span class="k">def</span> <span class="nf">sym_max</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">):</span>
<span class="w"> </span><span class="sd">""" SymInt-aware utility for max()."""</span>
<span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function</span><span class="p">,</span> <span class="n">handle_torch_function</span>
<span class="k">if</span> <span class="n">has_torch_function</span><span class="p">((</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">sym_max</span><span class="p">,</span> <span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">),</span> <span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="p">(</span><span class="n">SymInt</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">a</span><span class="o">.</span><span class="n">__sym_max__</span><span class="p">(</span><span class="n">b</span><span class="p">)</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="p">(</span><span class="n">SymInt</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="c1"># NB: If you actually care about preserving output type exactly</span>
<span class="c1"># if you do something like max(0, 0.0), it is NOT sound to treat</span>
<span class="c1"># min/max as commutative</span>
<span class="k">return</span> <span class="n">b</span><span class="o">.</span><span class="n">__sym_max__</span><span class="p">(</span><span class="n">a</span><span class="p">)</span>
<span class="k">return</span> <span class="n">builtins</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">)</span> <span class="c1"># type: ignore[operator]</span></div>
<div class="viewcode-block" id="sym_min"><a class="viewcode-back" href="../generated/torch.sym_min.html#torch.sym_min">[docs]</a><span class="k">def</span> <span class="nf">sym_min</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">):</span>
<span class="w"> </span><span class="sd">""" SymInt-aware utility for max()."""</span>
<span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function</span><span class="p">,</span> <span class="n">handle_torch_function</span>
<span class="k">if</span> <span class="n">has_torch_function</span><span class="p">((</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">sym_min</span><span class="p">,</span> <span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">),</span> <span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="p">(</span><span class="n">SymInt</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">a</span><span class="o">.</span><span class="n">__sym_min__</span><span class="p">(</span><span class="n">b</span><span class="p">)</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="p">(</span><span class="n">SymInt</span><span class="p">,</span> <span class="n">SymFloat</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">b</span><span class="o">.</span><span class="n">__sym_min__</span><span class="p">(</span><span class="n">a</span><span class="p">)</span>
<span class="k">return</span> <span class="n">builtins</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">)</span> <span class="c1"># type: ignore[operator]</span></div>
<span class="c1"># Drop in replacement for math.sqrt, math.sin, math.cos etc</span>
<span class="n">current_module</span> <span class="o">=</span> <span class="n">sys</span><span class="o">.</span><span class="n">modules</span><span class="p">[</span><span class="vm">__name__</span><span class="p">]</span>
<span class="k">def</span> <span class="nf">_get_sym_math_fn</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">fn</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function_unary</span><span class="p">,</span> <span class="n">handle_torch_function</span>
<span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">fn</span><span class="p">,</span> <span class="p">(</span><span class="n">a</span><span class="p">,),</span> <span class="n">a</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"__sym_</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">__"</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"__sym_</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">__"</span><span class="p">)()</span>
<span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">math</span><span class="p">,</span> <span class="n">name</span><span class="p">)(</span><span class="n">a</span><span class="p">)</span>
<span class="k">return</span> <span class="n">fn</span>
<span class="k">for</span> <span class="n">name</span> <span class="ow">in</span> <span class="p">(</span><span class="s2">"sqrt"</span><span class="p">,</span> <span class="s2">"cos"</span><span class="p">,</span> <span class="s2">"cosh"</span><span class="p">,</span> <span class="s2">"sin"</span><span class="p">,</span> <span class="s2">"sinh"</span><span class="p">,</span> <span class="s2">"tan"</span><span class="p">,</span> <span class="s2">"tanh"</span><span class="p">,</span> <span class="s2">"asin"</span><span class="p">,</span> <span class="s2">"acos"</span><span class="p">,</span> <span class="s2">"atan"</span><span class="p">):</span>
<span class="n">sym_name</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"_sym_</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">"</span>
<span class="n">fn</span> <span class="o">=</span> <span class="n">_get_sym_math_fn</span><span class="p">(</span><span class="n">name</span><span class="p">)</span>
<span class="n">fn</span><span class="o">.</span><span class="vm">__qualname__</span> <span class="o">=</span> <span class="n">fn</span><span class="o">.</span><span class="vm">__name__</span> <span class="o">=</span> <span class="n">sym_name</span>
<span class="nb">setattr</span><span class="p">(</span><span class="n">current_module</span><span class="p">,</span> <span class="n">sym_name</span><span class="p">,</span> <span class="n">fn</span><span class="p">)</span>
<span class="c1"># Adding temporary shortcut</span>
<span class="n">sym_sqrt</span> <span class="o">=</span> <span class="n">current_module</span><span class="o">.</span><span class="n">_sym_sqrt</span>
<span class="n">__all__</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">"sym_sqrt"</span><span class="p">)</span>
<span class="k">del</span> <span class="n">fn</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">sym_name</span><span class="p">,</span> <span class="n">current_module</span> <span class="c1"># type: ignore[possibly-undefined]</span>
<div class="viewcode-block" id="sym_ite"><a class="viewcode-back" href="../generated/torch.sym_ite.html#torch.sym_ite">[docs]</a><span class="k">def</span> <span class="nf">sym_ite</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">f</span><span class="p">):</span>
<span class="kn">from</span> <span class="nn">.overrides</span> <span class="kn">import</span> <span class="n">has_torch_function</span><span class="p">,</span> <span class="n">handle_torch_function</span>
<span class="k">if</span> <span class="n">has_torch_function</span><span class="p">((</span><span class="n">b</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">f</span><span class="p">)):</span>
<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">sym_ite</span><span class="p">,</span> <span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">f</span><span class="p">),</span> <span class="n">b</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span>
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="p">(</span><span class="n">SymBool</span><span class="p">,</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">))</span> <span class="ow">and</span> <span class="nb">type</span><span class="p">(</span><span class="n">t</span><span class="p">)</span> <span class="o">==</span> <span class="nb">type</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="n">SymBool</span><span class="p">):</span>
<span class="k">return</span> <span class="n">b</span><span class="o">.</span><span class="n">__sym_ite__</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span>