| __imul__ |
| __matmul__ |
| __radd__ |
| __rand__ |
| __rdiv__ |
| __rmatmul__ |
| __rmod__ |
| __rmul__ |
| __ror__ |
| __rpow__ |
| __rrshift__ |
| __rsub__ |
| __rxor__ |
| add |
| atan2 |
| bitwise_and |
| bitwise_left_shift |
| bitwise_or |
| bitwise_right_shift |
| bitwise_xor |
| complex |
| copysign |
| div |
| eq |
| float_power |
| floor_divide |
| fmax |
| fmin |
| fmod |
| gcd |
| ge |
| gt |
| heaviside |
| hypot |
| igamma |
| igammac |
| isclose |
| lcm |
| ldexp |
| le |
| logical_and |
| logical_or |
| logical_xor |
| lt |
| maximum |
| minimum |
| mul |
| ne |
| nextafter |
| polar |
| pow |
| remainder |
| rsub |
| special.xlog1py |
| special.zeta |
| sub |
| true_divide |
| xlogy |
| abs |
| acos |
| acosh |
| angle |
| asin |
| asinh |
| atan |
| atanh |
| bitwise_not |
| ceil |
| conj |
| conj_physical |
| cos |
| cosh |
| deg2rad |
| digamma |
| erf |
| erfc |
| erfinv |
| exp |
| exp2 |
| expm1 |
| floor |
| frac |
| frexp |
| i0 |
| imag |
| isfinite |
| isinf |
| isnan |
| isneginf |
| isposinf |
| isreal |
| lgamma |
| log |
| log10 |
| log1p |
| log2 |
| logical_not |
| logit |
| multigammaln |
| nan_to_num |
| neg |
| nn.functional.celu |
| nn.functional.elu |
| nn.functional.hardsigmoid |
| nn.functional.logsigmoid |
| nn.functional.mish |
| nn.functional.rrelu |
| nn.functional.selu |
| nn.functional.silu |
| nn.functional.softsign |
| nn.functional.tanhshrink |
| polygamma |
| positive |
| rad2deg |
| real |
| reciprocal |
| round |
| rsqrt |
| sgn |
| sigmoid |
| sign |
| signbit |
| sin |
| sinc |
| sinh |
| special.entr |
| special.erfcx |
| special.i0e |
| special.i1 |
| special.i1e |
| special.log_ndtr |
| special.ndtr |
| special.ndtri |
| special.polygamma |
| sqrt |
| square |
| tan |
| tanh |
| trunc |
| fft_fftfreq |
| fft_rfftfreq |
| fft.fft |
| fft.fft2 |
| fft.fftn |
| fft.fftshift |
| fft.hfft |
| fft.hfft2 |
| fft.hfftn |
| fft.ifft |
| fft.ifft2 |
| fft.ifftn |
| fft.ifftshift |
| fft.ihfft |
| fft.ihfft2 |
| fft.ihfftn |
| fft.irfft |
| fft.irfft2 |
| fft.irfftn |
| fft.rfft |
| fft.rfft2 |
| fft.rfftn |
| istft |
| stft |
| as_strided |
| atleast_1d |
| atleast_2d |
| atleast_3d |
| broadcast_shapes |
| broadcast_tensors |
| broadcast_to |
| cat |
| chunk |
| column_stack |
| contiguous |
| dsplit |
| dstack |
| expand |
| expand_as |
| flatten |
| flip |
| fliplr |
| flipud |
| H |
| hsplit |
| hstack |
| mH / adjoint |
| movedim |
| mT |
| narrow |
| narrow_copy |
| permute |
| ravel |
| repeat |
| repeat_interleave |
| reshape |
| reshape_as |
| resize_ |
| resize_as_ |
| roll |
| rot90 |
| split |
| split_with_sizes |
| squeeze |
| stack |
| swapaxes |
| T |
| t |
| tensor_split |
| tile |
| transpose |
| unbind |
| unflatten |
| unfold |
| unsqueeze |
| view |
| view_as |
| vsplit |
| vstack |
| addbmm |
| addmm |
| addmv |
| addr |
| baddbmm |
| block_diag |
| bmm |
| cartesian_prod |
| chain_matmul |
| cholesky |
| cholesky_inverse |
| cholesky_solve |
| cross |
| diag |
| diag_embed |
| diagflat |
| diagonal |
| dot |
| eig |
| einsum |
| frobenius_norm |
| geqrf |
| ger |
| inner |
| inverse |
| kron |
| linalg.cholesky |
| linalg.cholesky_ex |
| linalg.cond |
| linalg.cross |
| linalg.det |
| linalg.eig |
| linalg.eigh |
| linalg.eigvals |
| linalg.eigvalsh |
| linalg.householder_product |
| linalg.inv |
| linalg.inv_ex |
| linalg.lstsq |
| linalg.lu_factor |
| linalg.lu_factor_ex |
| linalg.matrix_norm |
| linalg.matrix_power |
| linalg.matrix_rank |
| linalg.multi_dot |
| linalg.norm |
| linalg.pinv |
| linalg.qr |
| linalg.slogdet |
| linalg.solve |
| linalg.solve_triangular |
| linalg.svd |
| linalg.svdvals |
| linalg.tensorinv |
| linalg.tensorsolve |
| linalg.vector_norm |
| lobpcg |
| logaddexp |
| logaddexp2 |
| logdet |
| lu |
| lu_solve |
| lu_unpack |
| matmul |
| matrix_exp |
| mm |
| mv |
| norm |
| nuclear_norm |
| orgqr |
| ormqr |
| outer |
| pca_lowrank |
| pinverse |
| qr |
| renorm |
| solve |
| svd |
| svd_lowrank |
| symeig |
| tensordot |
| trace |
| triangular_solve |
| tril |
| tril_indices |
| triu |
| triu_indices |
| vdot |
| all |
| amax |
| amin |
| nanquantile |
| quantile |
| sum |
| nansum |
| aminmax |
| any |
| argmax |
| std |
| var |
| var_mean |
| std_mean |
| argmin |
| cummax |
| cummin |
| cumprod |
| cumsum |
| logcumsumexp |
| logsumexp |
| max |
| mean |
| median |
| min |
| mode |
| nanmean |
| nanmedian |
| nanquantile |
| nansum |
| quantile |
| std |
| std_mean |
| sum |
| var |
| var_mean |
| cumulative_trapezoid |
| diff |
| gradient |
| grid_sampler |
| grid_sampler_2d |
| grid_sampler_3d |
| lerp |
| trapezoid |
| trapz |
| arange |
| as_tensor |
| asarray |
| bartlett_window |
| blackman_window |
| empty |
| empty_like |
| empty_strided |
| eye |
| from_numpy |
| full |
| full_like |
| hamming_window |
| hann_window |
| kaiser_window |
| linspace |
| logspace |
| meshgrid |
| new |
| new_empty |
| new_empty |
| new_empty_strided |
| new_full |
| new_full |
| new_ones |
| new_ones |
| new_tensor |
| new_zeros |
| new_zeros |
| normal |
| ones |
| ones_like |
| rand |
| rand_like |
| randint |
| randint_like |
| randn |
| randn_like |
| randn_like |
| random_ |
| randperm |
| range |
| tensor |
| vander |
| zeros |
| zeros_like |
| adaptive_max_pool1d_with_indices |
| adaptive_max_pool2d_with_indices |
| adaptive_max_pool3d_with_indices |
| affine_grid |
| alpha_dropout |
| batch_norm_gather_stats_with_counts |
| batch_norm_stats |
| binary_cross_entropy |
| binary_cross_entropy_with_logits |
| cdist |
| channel_shuffle |
| constant_pad_nd |
| conv3d |
| convolution |
| dist |
| dropout3d |
| feature_alpha_dropout |
| feature_dropout |
| fractional_max_pool2d_with_indices |
| fractional_max_pool3d_with_indices |
| gru_cell |
| gumbel_softmax |
| kl_div |
| l1_loss |
| log_softmax |
| lp_pool1d |
| lp_pool2d |
| lstm_cell |
| margin_ranking_loss |
| max_pool1d_with_indices |
| max_pool2d_with_indices |
| max_pool3d_with_indices |
| max_unpool1d |
| max_unpool2d |
| max_unpool3d |
| multi_head_attention_forward |
| multi_margin_loss |
| multilabel_margin_loss |
| multilabel_soft_margin_loss |
| native_batch_norm |
| native_dropout |
| native_layer_norm |
| native_norm |
| nn.functional.adaptive_avg_pool1d |
| nn.functional.adaptive_avg_pool2d |
| nn.functional.adaptive_avg_pool3d |
| nn.functional.adaptive_max_pool1d |
| nn.functional.adaptive_max_pool2d |
| nn.functional.adaptive_max_pool3d |
| nn.functional.avg_pool1d |
| nn.functional.avg_pool2d |
| nn.functional.avg_pool3d |
| nn.functional.batch_norm |
| nn.functional.bilinear |
| nn.functional.conv_transpose1d |
| nn.functional.conv_transpose2d |
| nn.functional.conv_transpose3d |
| nn.functional.conv1d |
| nn.functional.conv2d |
| nn.functional.cosine_embedding_loss |
| nn.functional.cosine_similarity |
| nn.functional.cross_entropy |
| nn.functional.ctc_loss |
| nn.functional.dropout |
| nn.functional.dropout2d |
| nn.functional.embedding |
| nn.functional.embedding_bag |
| nn.functional.feature_alpha_dropout |
| nn.functional.fractional_max_pool2d |
| nn.functional.fractional_max_pool3d |
| nn.functional.gaussian_nll_loss |
| nn.functional.gelu |
| nn.functional.glu |
| nn.functional.grid_sample |
| nn.functional.group_norm |
| nn.functional.hardshrink |
| nn.functional.hardsigmoid |
| nn.functional.hardswish |
| nn.functional.hardtanh |
| nn.functional.hinge_embedding_loss |
| nn.functional.huber_loss |
| nn.functional.instance_norm |
| nn.functional.interpolate |
| nn.functional.kl_div |
| nn.functional.layer_norm |
| nn.functional.leaky_relu |
| nn.functional.linear |
| nn.functional.local_response_norm |
| nn.functional.logsigmoid |
| nn.functional.max_pool1d |
| nn.functional.max_pool2d |
| nn.functional.max_pool3d |
| nn.functional.mse_loss |
| nn.functional.nll_loss |
| nn.functional.normalize |
| nn.functional.one_hot |
| nn.functional.pad |
| nn.functional.pairwise_distance |
| nn.functional.pixel_shuffle |
| nn.functional.pixel_unshuffle |
| nn.functional.poisson_nll_loss |
| nn.functional.prelu |
| nn.functional.relu |
| nn.functional.relu6 |
| nn.functional.softmin |
| nn.functional.softplus |
| nn.functional.softshrink |
| nn.functional.softsign |
| nn.functional.tanhshrink |
| nn.functional.threshold |
| nn.functional.unfold |
| nn.functional.upsample_bilinear |
| nn.functional.upsample_nearest |
| pdist |
| rnn_relu |
| rnn_relu_cell |
| rnn_tanh |
| rnn_tanh_cell |
| smooth_l1_loss |
| soft_margin_loss |
| softmax |
| triplet_margin_loss |
| triplet_margin_with_distance_loss |
| argsort |
| argwhere |
| bincount |
| bucketize |
| corrcoef |
| count_nonzero |
| cov |
| histc |
| histogram |
| histogramdd |
| isin |
| kthvalue |
| msort |
| nonzero |
| searchsorted |
| sort |
| topk |
| unique |
| unique_consecutive |
| clamp |
| clamp_max |
| clamp_min |
| where |
| diagonal_scatter |
| gather |
| scatter |
| scatter_add |
| scatter_reduce |
| select_scatter |
| slice_scatter |
| index_add |
| index_copy |
| index_fill |
| index_put |
| index_select |
| item |
| put |
| select |
| take |
| take_along_dim |
| bfloat16 |
| bool |
| byte |
| char |
| clone |
| cpu |
| cuda |
| double |
| fill_ |
| float |
| half |
| int |
| long |
| short |
| type_as |
| zero_ |
| coalesce |
| dense_dim |
| sparse_coo_tensor |
| sparse_csr_tensor |
| to_dense |
| to_sparse |
| to_sparse_coo |
| complex |
| conj |
| conj_physical |
| real |
| resolve_conj |
| resolve_neg |
| view_as_complex |
| view_as_real |
| bernoulli |
| binomial |
| cauchy |
| exponential_ |
| geometric_ |
| multinomial |
| poisson |
| __getitem__ |
| combinations |
| is_complex |
| is_floating_point |
| is_signed |
| sum_to_size |
| masked.amax |
| masked.amin |
| masked.log_softmax |
| masked.mean |
| masked.norm |
| masked.normalize |
| masked.prod |
| masked.softmax |
| masked.softmin |
| masked.std |
| masked.sum |
| masked.var |
| masked_fill |
| masked_scatter |
| masked_select |
| addcdiv |
| addcmul |
| allclose |
| equal |
