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<h1>Source code for torch.overrides</h1><div class="highlight"><pre>
<span></span><span class="sd">"""</span>
<span class="sd">Python implementation of ``__torch_function__``</span>
<span class="sd">While most of the torch API and handling for ``__torch_function__`` happens</span>
<span class="sd">at the C++ level, some of the torch API is written in Python so we need</span>
<span class="sd">python-level handling for ``__torch_function__`` overrides as well. The main</span>
<span class="sd">developer-facing functionality in this file are handle_torch_function and</span>
<span class="sd">has_torch_function. See torch/functional.py and test/test_overrides.py</span>
<span class="sd">for usage examples.</span>
<span class="sd">Note</span>
<span class="sd">----</span>
<span class="sd">heavily inspired by NumPy's ``__array_function__`` (see:</span>
<span class="sd">https://github.com/pytorch/pytorch/issues/24015 and</span>
<span class="sd">https://www.numpy.org/neps/nep-0018-array-function-protocol.html</span>
<span class="sd">)</span>
<span class="sd">If changing this file in a way that can affect ``__torch_function__`` overhead,</span>
<span class="sd">please report the benchmarks in ``benchmarks/overrides_benchmark``. See the</span>
<span class="sd">instructions in the ``README.md`` in that directory.</span>
<span class="sd">"""</span>
<span class="kn">import</span> <span class="nn">__future__</span>
<span class="kn">import</span> <span class="nn">collections</span>
<span class="kn">import</span> <span class="nn">functools</span>
<span class="kn">import</span> <span class="nn">types</span>
<span class="kn">import</span> <span class="nn">warnings</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Set</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">Iterable</span><span class="p">,</span> <span class="n">Type</span><span class="p">,</span> <span class="n">Tuple</span>
<span class="kn">import</span> <span class="nn">contextlib</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">torch._C</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">_has_torch_function</span><span class="p">,</span> <span class="n">_has_torch_function_unary</span><span class="p">,</span>
<span class="n">_has_torch_function_variadic</span><span class="p">,</span> <span class="n">_add_docstr</span><span class="p">,</span>
<span class="n">_push_on_torch_function_stack</span><span class="p">,</span> <span class="n">_pop_torch_function_stack</span><span class="p">,</span> <span class="n">_get_function_stack_at</span><span class="p">,</span> <span class="n">_len_torch_function_stack</span><span class="p">,</span>
<span class="n">_is_torch_function_mode_enabled</span><span class="p">)</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">"get_ignored_functions"</span><span class="p">,</span>
<span class="s2">"get_overridable_functions"</span><span class="p">,</span>
<span class="s2">"get_testing_overrides"</span><span class="p">,</span>
<span class="s2">"handle_torch_function"</span><span class="p">,</span>
<span class="s2">"has_torch_function"</span><span class="p">,</span>
<span class="s2">"resolve_name"</span><span class="p">,</span>
<span class="s2">"is_tensor_like"</span><span class="p">,</span>
<span class="s2">"is_tensor_method_or_property"</span><span class="p">,</span>
<span class="s2">"wrap_torch_function"</span><span class="p">,</span>
<span class="s2">"enable_reentrant_dispatch"</span><span class="p">,</span>
<span class="s2">"get_buffer"</span><span class="p">,</span>
<span class="p">]</span>
<div class="viewcode-block" id="get_ignored_functions"><a class="viewcode-back" href="../../torch.overrides.html#torch.overrides.get_ignored_functions">[docs]</a><span class="nd">@functools</span><span class="o">.</span><span class="n">lru_cache</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">get_ignored_functions</span><span class="p">()</span> <span class="o">-></span> <span class="n">Set</span><span class="p">[</span><span class="n">Callable</span><span class="p">]:</span>
<span class="sd">"""</span>
<span class="sd"> Return public functions that cannot be overridden by ``__torch_function__``.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> Set[Callable]</span>
<span class="sd"> A tuple of functions that are publicly available in the torch API but cannot</span>
<span class="sd"> be overridden with ``__torch_function__``. Mostly this is because none of the</span>
<span class="sd"> arguments of these functions are tensors or tensor-likes.</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> >>> torch.Tensor.as_subclass in torch.overrides.get_ignored_functions()</span>
<span class="sd"> True</span>
<span class="sd"> >>> torch.add in torch.overrides.get_ignored_functions()</span>
<span class="sd"> False</span>
<span class="sd"> """</span>
<span class="n">Tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span>
<span class="k">return</span> <span class="p">{</span>
<span class="n">torch</span><span class="o">.</span><span class="n">typename</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_storage</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_default_tensor_type</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_default_device</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_rng_state</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_rng_state</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">manual_seed</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">initial_seed</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">seed</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_printoptions</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fork</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_default_dtype</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_num_interop_threads</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_num_threads</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">init_num_threads</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">import_ir_module</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">import_ir_module_from_buffer</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_anomaly_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_anomaly_check_nan_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_grad_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">merge_type_from_type_comment</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">parse_ir</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">parse_schema</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">parse_type_comment</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_anomaly_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_flush_denormal</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_num_interop_threads</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_num_threads</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">wait</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">as_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_device</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">default_generator</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">has_cuda</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">has_cudnn</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">has_lapack</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">finfo</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">has_mkl</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">has_mps</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">has_mkldnn</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">has_openmp</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">iinfo</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">memory_format</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">qscheme</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">enable_grad</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">inference_mode</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_inference_mode_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">layout</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">align_tensors</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">arange</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">as_strided</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bartlett_window</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">blackman_window</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">broadcast_shapes</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">can_cast</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">compile</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_affine_grid_generator</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_batch_norm</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_convolution</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_convolution_transpose</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_convolution_relu</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_convolution_add_relu</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_grid_sampler</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cudnn_is_acceptable</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">empty</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">empty_strided</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">empty_quantized</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">eye</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fftfreq</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">rfftfreq</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">from_file</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">full</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fill</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">hamming_window</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">hann_window</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">kaiser_window</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linspace</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">logspace</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_adaptive_avg_pool2d</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_convolution</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_max_pool2d</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_max_pool3d</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_linear_backward_weights</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mkldnn_rnn_layer</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ones</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">promote_types</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">rand</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">randint</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">randperm</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">range</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">result_type</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">scalar_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sparse_coo_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sparse_compressed_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sparse_csr_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sparse_csc_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sparse_bsr_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sparse_bsc_tensor</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sym_float</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sym_int</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sym_max</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sym_min</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">sym_not</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">tril_indices</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">triu_indices</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">vander</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">_jit_internal</span><span class="o">.</span><span class="n">boolean_dispatch</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">assert_int_or_pair</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample_bilinear</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">upsample_nearest</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">has_torch_function</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">has_torch_function_unary</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">has_torch_function_variadic</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">handle_torch_function</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">sigmoid</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">hardsigmoid</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">tanh</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">_canonical_mask</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">_none_or_dtype</span><span class="p">,</span>
<span class="c1"># Doesn't actually take or return tensor arguments</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">calculate_gain</span><span class="p">,</span>
<span class="c1"># These are deprecated; don't test them</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">uniform</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">normal</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">constant</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">eye</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">dirac</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">xavier_uniform</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">xavier_normal</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">kaiming_uniform</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">kaiming_normal</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">orthogonal</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">sparse</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nested</span><span class="o">.</span><span class="n">to_padded_tensor</span><span class="p">,</span>
<span class="n">has_torch_function</span><span class="p">,</span>
<span class="n">handle_torch_function</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_autocast_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_autocast_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">clear_autocast_cache</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_autocast_cpu_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_autocast_cpu_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_autocast_cpu_dtype</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_autocast_cpu_dtype</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_autocast_gpu_dtype</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_autocast_gpu_dtype</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">autocast_increment_nesting</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">autocast_decrement_nesting</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_autocast_cache_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_autocast_cache_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">hardswish</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_vulkan_available</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">are_deterministic_algorithms_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">use_deterministic_algorithms</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_deterministic_algorithms_warn_only_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_deterministic_debug_mode</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_deterministic_debug_mode</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_float32_matmul_precision</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">get_float32_matmul_precision</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">unify_type_list</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">is_warn_always_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_warn_always</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">vitals_enabled</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">set_vital</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">read_vitals</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">vmap</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">frombuffer</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">asarray</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__delitem__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__dir__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__getattribute__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__init__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__iter__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">__init_subclass__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__delattr__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__setattr__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">__torch_function__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">__torch_dispatch__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__new__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="vm">__class__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">__subclasshook__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="fm">__hash__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">as_subclass</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">eig</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">lstsq</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">reinforce</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">new</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">new_tensor</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">new_empty</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">new_empty_strided</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">new_zeros</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">new_ones</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">new_full</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_make_subclass</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">solve</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">symeig</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">stride</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">unflatten</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">to_sparse_coo</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">to_sparse_csr</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">to_sparse_csc</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">to_sparse_bsr</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">to_sparse_bsc</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_typed_storage</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_reduce_ex_internal</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_fix_weakref</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_view_func</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_make_wrapper_subclass</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_python_dispatch</span><span class="o">.</span><span class="fm">__get__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_has_symbolic_sizes_strides</span><span class="o">.</span><span class="fm">__get__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_conj</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_conj_physical</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_neg_view</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_is_zerotensor</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_is_all_true</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_is_any_true</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_addmm_activation</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">to_padded_tensor</span><span class="p">,</span>
<span class="p">}</span></div>
<span class="nd">@functools</span><span class="o">.</span><span class="n">lru_cache</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">get_default_nowrap_functions</span><span class="p">()</span> <span class="o">-></span> <span class="n">Set</span><span class="p">[</span><span class="n">Callable</span><span class="p">]:</span>
<span class="sd">"""</span>
<span class="sd"> Return public functions that do not wrap in a subclass when invoked by</span>
<span class="sd"> the default ``Tensor.__torch_function__`` that preserves subclasses. Typically,</span>
<span class="sd"> these functions represent field accesses (i.e., retrieving a Tensor that</span>
<span class="sd"> is stored somewhere on the Tensor) as opposed to computation. Users of</span>
<span class="sd"> these functions expect object identity to be preserved over multiple accesses</span>
<span class="sd"> (e.g., ``a.grad is a.grad``) which cannot be upheld if we're wrapping on</span>
<span class="sd"> the fly every time (furthermore, the tensor stored here might already be</span>
<span class="sd"> the subclass, in which case wrapping really ought not to happen).</span>
<span class="sd"> Not ALL property accessors have this property; for example ``Tensor.T`` actually</span>
<span class="sd"> just creates a new transposed tensor on the fly, and so we SHOULD interpose on</span>
<span class="sd"> these calls (you need to check the implementation of the function to see if</span>
<span class="sd"> this is the case or not). Additionally, if a property accessor doesn't return a Tensor,</span>
<span class="sd"> it doesn't have to be on this list (though it is harmless if it is).</span>
<span class="sd"> """</span>
<span class="n">Tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span>
<span class="k">return</span> <span class="p">{</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_base</span><span class="o">.</span><span class="fm">__get__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">grad</span><span class="o">.</span><span class="fm">__get__</span><span class="p">,</span>
<span class="n">Tensor</span><span class="o">.</span><span class="n">_grad</span><span class="o">.</span><span class="fm">__get__</span><span class="p">,</span>
<span class="p">}</span>
<div class="viewcode-block" id="get_testing_overrides"><a class="viewcode-back" href="../../torch.overrides.html#torch.overrides.get_testing_overrides">[docs]</a><span class="nd">@functools</span><span class="o">.</span><span class="n">lru_cache</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">get_testing_overrides</span><span class="p">()</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">[</span><span class="n">Callable</span><span class="p">,</span> <span class="n">Callable</span><span class="p">]:</span>
<span class="sd">"""Return a dict containing dummy overrides for all overridable functions</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> Dict[Callable, Callable]</span>
<span class="sd"> A dictionary that maps overridable functions in the PyTorch API to</span>
<span class="sd"> lambda functions that have the same signature as the real function</span>
<span class="sd"> and unconditionally return -1. These lambda functions are useful</span>
<span class="sd"> for testing API coverage for a type that defines ``__torch_function__``.</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> >>> import inspect</span>
<span class="sd"> >>> my_add = torch.overrides.get_testing_overrides()[torch.add]</span>
<span class="sd"> >>> inspect.signature(my_add)</span>
<span class="sd"> <Signature (input, other, out=None)></span>
<span class="sd"> """</span>
<span class="c1"># Every function in the PyTorchAPI that can be overriden needs an entry</span>
<span class="c1"># in this dict.</span>
<span class="c1">#</span>
<span class="c1"># Optimally we would use inspect to get the function signature and define</span>
<span class="c1"># the lambda function procedurally but that is blocked by generating</span>
<span class="c1"># function signatures for native kernels that can be consumed by inspect.</span>
<span class="c1"># See Issue #28233.</span>
<span class="n">Tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span>
<span class="n">ret</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="n">Callable</span><span class="p">,</span> <span class="n">Callable</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="n">torch</span><span class="o">.</span><span class="n">abs</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">absolute</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">adaptive_avg_pool1d</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">output_size</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">adaptive_max_pool1d</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">output_size</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">acos</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">adjoint</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">arccos</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">acosh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">arccosh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">add</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">addbmm</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">batch1</span><span class="p">,</span> <span class="n">batch2</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">addcdiv</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">tensor1</span><span class="p">,</span> <span class="n">tensor2</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">addcmul</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">tensor1</span><span class="p">,</span> <span class="n">tensor2</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">addmm</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">mat1</span><span class="p">,</span> <span class="n">mat2</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">addmv</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">mat</span><span class="p">,</span> <span class="n">vec</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">addr</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">vec1</span><span class="p">,</span> <span class="n">vec2</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">affine_grid_generator</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">theta</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">align_corners</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">all</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">allclose</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">trol</span><span class="o">=</span><span class="mf">1e-05</span><span class="p">,</span> <span class="n">atol</span><span class="o">=</span><span class="mf">1e-08</span><span class="p">,</span> <span class="n">equal_nan</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">alpha_dropout</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">train</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">amax</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">amin</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">aminmax</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">keepdim</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">angle</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">any</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">keepdim</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">argmax</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">argmin</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">argsort</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">asin</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">_assert_async</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">arcsin</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">asinh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">arcsinh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">atan</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">arctan</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">atan2</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">arctan2</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">atanh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">arctanh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">:</span> <span class="k">lambda</span> <span class="o">*</span><span class="n">tensors</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">atleast_2d</span><span class="p">:</span> <span class="k">lambda</span> <span class="o">*</span><span class="n">tensors</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">atleast_3d</span><span class="p">:</span> <span class="k">lambda</span> <span class="o">*</span><span class="n">tensors</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">avg_pool1d</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">ceil_mode</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">count_include_pad</span><span class="o">=</span><span class="kc">True</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">baddbmm</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">batch1</span><span class="p">,</span> <span class="n">batch2</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="p">,</span> <span class="n">running_mean</span><span class="p">,</span> <span class="n">running_var</span><span class="p">,</span> <span class="n">training</span><span class="p">,</span> <span class="n">momentum</span><span class="p">,</span> <span class="n">eps</span><span class="p">,</span> <span class="n">cudnn_enabled</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_backward_elemt</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">grad_out</span><span class="p">,</span> <span class="nb">input</span><span class="p">,</span> <span class="n">mean</span><span class="p">,</span> <span class="n">invstd</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">sum_dy</span><span class="p">,</span> <span class="n">sum_dy_xmu</span><span class="p">,</span> <span class="n">count_tensor</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_backward_reduce</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">grad_out</span><span class="p">,</span> <span class="nb">input</span><span class="p">,</span> <span class="n">mean</span><span class="p">,</span> <span class="n">invstd</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">input_g</span><span class="p">,</span> <span class="n">weight_g</span><span class="p">,</span> <span class="n">bias_g</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_elemt</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="p">,</span> <span class="n">mean</span><span class="p">,</span> <span class="n">invstd</span><span class="p">,</span> <span class="n">eps</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_gather_stats</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">mean</span><span class="p">,</span> <span class="n">invstd</span><span class="p">,</span> <span class="n">running_mean</span><span class="p">,</span> <span class="n">running_var</span><span class="p">,</span> <span class="n">momentum</span><span class="p">,</span> <span class="n">eps</span><span class="p">,</span> <span class="n">count</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_gather_stats_with_counts</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">mean</span><span class="p">,</span> <span class="n">invstd</span><span class="p">,</span> <span class="n">running_mean</span><span class="p">,</span> <span class="n">running_var</span><span class="p">,</span> <span class="n">momentum</span><span class="p">,</span> <span class="n">eps</span><span class="p">,</span> <span class="n">count</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_stats</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">eps</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">batch_norm_update_stats</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">running_mean</span><span class="p">,</span> <span class="n">running_var</span><span class="p">,</span> <span class="n">momentum</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bernoulli</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">generator</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bilinear</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">input1</span><span class="p">,</span> <span class="n">input2</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">binary_cross_entropy_with_logits</span><span class="p">:</span> <span class="p">(</span><span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">target</span><span class="p">,</span> <span class="n">weight</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">size_average</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">reduce</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">reduction</span><span class="o">=</span><span class="s1">'mean'</span><span class="p">,</span> <span class="n">pos_weight</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bincount</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">minlength</span><span class="o">=</span><span class="mi">0</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">binomial</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">count</span><span class="p">,</span> <span class="n">prob</span><span class="p">,</span> <span class="n">generator</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_and</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_not</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_or</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_xor</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_left_shift</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bitwise_right_shift</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">block_diag</span><span class="p">:</span> <span class="k">lambda</span> <span class="o">*</span><span class="n">tensors</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bmm</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">mat2</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">broadcast_tensors</span><span class="p">:</span> <span class="k">lambda</span> <span class="o">*</span><span class="n">tensors</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">broadcast_to</span><span class="p">:</span> <span class="k">lambda</span> <span class="bp">self</span><span class="p">,</span> <span class="n">size</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">bucketize</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">boundaries</span><span class="p">,</span> <span class="n">out_int32</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">right</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cartesian_prod</span><span class="p">:</span> <span class="k">lambda</span> <span class="o">*</span><span class="n">tensors</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">tensors</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">concat</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">tensors</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># alias for torch.cat</span>
<span class="n">torch</span><span class="o">.</span><span class="n">concatenate</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">tensors</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># alias for torch.concatenate</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cdist</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span> <span class="n">compute_mode</span><span class="o">=</span><span class="s1">'use_mm_for_euclid_dist_if_necessary'</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ceil</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">celu</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">1.</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">chain_matmul</span><span class="p">:</span> <span class="k">lambda</span> <span class="o">*</span><span class="n">matrices</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">channel_shuffle</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">groups</span> <span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cholesky</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">upper</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">cholesky</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">cholesky_ex</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">check_errors</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cholesky_inverse</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">upper</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cholesky_solve</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">input1</span><span class="p">,</span> <span class="n">input2</span><span class="p">,</span> <span class="n">upper</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">choose_qparams_optimized</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">numel</span><span class="p">,</span> <span class="n">n_bins</span><span class="p">,</span> <span class="n">ratio</span><span class="p">,</span> <span class="n">bit_width</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">chunk</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">chunks</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">clamp</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="nb">min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="nb">max</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">clip</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="nb">min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="nb">max</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">clamp_min</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="nb">min</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">clamp_max</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="nb">max</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">column_stack</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">tensors</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cov</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">correction</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">fweights</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">aweights</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">clone</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">combinations</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">r</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">with_replacement</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">complex</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">real</span><span class="p">,</span> <span class="n">imag</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">copysign</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">polar</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">abs</span><span class="p">,</span> <span class="n">ang</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">cond</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="nb">ord</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conj</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conj_physical</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">resolve_conj</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">resolve_neg</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">constant_pad_nd</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">pad</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conv1d</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dilation</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conv2d</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dilation</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conv3d</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dilation</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">convolution</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">dilation</span><span class="p">,</span> <span class="n">transposed</span><span class="p">,</span> <span class="n">output_adding</span><span class="p">,</span> <span class="n">groups</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conv_tbc</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mi">0</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conv_transpose1d</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">output_padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">dilation</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conv_transpose2d</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">output_padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">dilation</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">conv_transpose3d</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">output_padding</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">dilation</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">corrcoef</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cos</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cosine_embedding_loss</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">input1</span><span class="p">,</span> <span class="n">input2</span><span class="p">,</span> <span class="n">target</span><span class="p">,</span> <span class="n">margin</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">size_average</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">reduce</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">reduction</span><span class="o">=</span><span class="s1">'mean'</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cosh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cosine_similarity</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">eps</span><span class="o">=</span><span class="mf">1e-8</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">count_nonzero</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cross</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">cross</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ctc_loss</span><span class="p">:</span> <span class="p">(</span><span class="k">lambda</span> <span class="n">log_probs</span><span class="p">,</span> <span class="n">targets</span><span class="p">,</span> <span class="n">input_lengths</span><span class="p">,</span> <span class="n">target_lengths</span><span class="p">,</span> <span class="n">blank</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">reduction</span><span class="o">=</span><span class="s1">'mean'</span><span class="p">,</span>
<span class="n">zero_infinity</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cummax</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cummin</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cumprod</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cumsum</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">cumulative_trapezoid</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">y</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">logcumsumexp</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dim</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">deg2rad</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">dequantize</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">det</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">det</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="c1"># alias for torch.det # type: ignore[attr-defined]</span>
<span class="n">torch</span><span class="o">.</span><span class="n">detach</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">diag</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">diagonal</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">diag_embed</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">diagonal</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">diagflat</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="mi">0</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">diff</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">n</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">prepend</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">append</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">diagonal</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dim1</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dim2</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">diagonal</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dim1</span><span class="o">=-</span><span class="mi">2</span><span class="p">,</span> <span class="n">dim2</span><span class="o">=-</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">diagonal_scatter</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">src</span><span class="p">,</span> <span class="n">offset</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dim1</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dim2</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">as_strided_scatter</span><span class="p">:</span> <span class="k">lambda</span> <span class="bp">self</span><span class="p">,</span> <span class="n">src</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">storage_offset</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">digamma</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">dist</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="mi">2</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">div</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">rounding_mode</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">divide</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">rounding_mode</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">dot</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">dropout</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">train</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">dsmm</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">mat2</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">hsmm</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">mat1</span><span class="p">,</span> <span class="n">mat2</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">dsplit</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">indices_or_sections</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">dstack</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">tensors</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">eig</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">eigvals</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">eigh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">UPLO</span><span class="o">=</span><span class="s2">"L"</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">eigvalsh</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">UPLO</span><span class="o">=</span><span class="s2">"L"</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">einsum</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">equation</span><span class="p">,</span> <span class="o">*</span><span class="n">operands</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">embedding</span><span class="p">:</span> <span class="p">(</span><span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">padding_idx</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">max_norm</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">norm_type</span><span class="o">=</span><span class="mf">2.0</span><span class="p">,</span> <span class="n">scale_grad_by_freq</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
<span class="n">sparse</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span>
<span class="n">torch</span><span class="o">.</span><span class="n">embedding_bag</span><span class="p">:</span> <span class="p">(</span><span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">offsets</span><span class="p">,</span> <span class="n">max_norm</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">norm_type</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">scale_grad_by_freq</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
<span class="n">mode</span><span class="o">=</span><span class="s1">'mean'</span><span class="p">,</span> <span class="n">sparse</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">per_sample_weights</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">padding_idx</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span>
<span class="n">torch</span><span class="o">.</span><span class="n">empty_like</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">requires_grad</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">eq</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">equal</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">other</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">erf</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">erfc</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">erfinv</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">exp2</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">expm1</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fake_quantize_per_channel_affine</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">scale</span><span class="p">,</span> <span class="n">zero_point</span><span class="p">,</span> <span class="n">axis</span><span class="p">,</span> <span class="n">quant_min</span><span class="p">,</span> <span class="n">quant_max</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fake_quantize_per_tensor_affine</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">scale</span><span class="p">,</span> <span class="n">zero_point</span><span class="p">,</span> <span class="n">quant_min</span><span class="p">,</span> <span class="n">quant_max</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fused_moving_avg_obs_fake_quant</span><span class="p">:</span> <span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">,</span> <span class="n">observer_on</span><span class="p">,</span> <span class="n">fake_quant_on</span><span class="p">,</span> <span class="n">averaging_const</span><span class="p">,</span> <span class="n">running_min</span><span class="p">,</span>
<span class="n">running_max</span><span class="p">,</span> <span class="n">scale</span><span class="p">,</span> <span class="n">zero_point</span><span class="p">,</span> <span class="n">quant_min</span><span class="p">,</span> <span class="n">quant_max</span><span class="p">,</span> <span class="n">ch_axis</span><span class="p">,</span>
<span class="n">per_row_fake_quant</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">symmetric_quant</span><span class="o">=</span><span class="kc">False</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_fp16_weight</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">packed_weight</span><span class="p">,</span> <span class="n">bias</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_fp16_weight_fp32_activation</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">packed_weight</span><span class="p">,</span> <span class="n">bias</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_int8_weight</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">packed</span><span class="p">,</span> <span class="n">col_offsets</span><span class="p">,</span> <span class="n">weight_scale</span><span class="p">,</span> <span class="n">weight_zero_point</span><span class="p">,</span> <span class="n">bias</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_int8_weight_fp32_activation</span><span class="p">:</span> <span class="p">(</span><span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">weight</span><span class="p">,</span> <span class="n">packed</span><span class="p">,</span> <span class="n">col_offsets</span><span class="p">,</span> <span class="n">weight_scale</span><span class="p">,</span>
<span class="n">weight_zero_point</span><span class="p">,</span> <span class="n">bias</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_linear_quantize_weight</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_pack_gemm_matrix_fp16</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fbgemm_pack_quantized_matrix</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</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="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">feature_alpha_dropout</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">train</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">feature_dropout</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">p</span><span class="p">,</span> <span class="n">train</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fft</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">n</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">ifft</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">n</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
<span class="n">torch</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">rfft</span><span class="p">:</span> <span class="k">lambda</span> <span class="nb">input</span><span class="p">,</span> <span class="n">n</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="kc">None</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span>