#pragma once

// ATen symbols correspond exactly to operators defined in ATen.  Every
// symbol here corresponds exactly to an ATen operation which is defined
// in Declarations.yaml; attributes are in one-to-one correspondence with
// their ATen name.
//
// To explicitly use interned strings as symbols in your code, you must add
// them to this list.

#define FORALL_ATEN_BASE_SYMBOLS(_) \
_(aten, __and__) \
_(aten, __iand__) \
_(aten, __ilshift__) \
_(aten, __ior__) \
_(aten, __irshift__) \
_(aten, __ixor__) \
_(aten, __lshift__) \
_(aten, __or__) \
_(aten, __rshift__) \
_(aten, __xor__) \
_(aten, _abs) \
_(aten, _addmv) \
_(aten, _addr) \
_(aten, _arange) \
_(aten, _argmax) \
_(aten, _argmin) \
_(aten, _baddbmm_mkl) \
_(aten, _cast_Byte) \
_(aten, _cast_Char) \
_(aten, _cast_Double) \
_(aten, _cast_Float) \
_(aten, _cast_Half) \
_(aten, _cast_Int) \
_(aten, _cast_Long) \
_(aten, _cast_Short) \
_(aten, _cat) \
_(aten, _ceil) \
_(aten, _clamp_max) \
_(aten, _clamp_min) \
_(aten, _convolution) \
_(aten, _convolution_double_backward) \
_(aten, convolution_overrideable) \
_(aten, convolution_backward_overrideable) \
_(aten, _convolution_nogroup) \
_(aten, _copy_ignoring_overlaps) \
_(aten, _cos) \
_(aten, _cosh) \
_(aten, _ctc_loss) \
_(aten, _ctc_loss_backward) \
_(aten, _cudnn_ctc_loss) \
_(aten, _cudnn_init_dropout_state) \
_(aten, _cudnn_rnn) \
_(aten, _cudnn_rnn_backward) \
_(aten, _cudnn_rnn_flatten_weight) \
_(aten, _cufft_clear_plan_cache) \
_(aten, _cufft_get_plan_cache_max_size) \
_(aten, _cufft_get_plan_cache_size) \
_(aten, _cufft_set_plan_cache_max_size) \
_(aten, _cumprod) \
_(aten, _cumsum) \
_(aten, _denseDims) \
_(aten, _dimI) \
_(aten, _dimV) \
_(aten, _dim_arange) \
_(aten, _dirichlet_grad) \
_(aten, _dot) \
_(aten, _embedding_bag) \
_(aten, _embedding_bag_backward) \
_(aten, _embedding_bag_dense_backward) \
_(aten, _embedding_bag_sparse_backward) \
_(aten, _erf) \
_(aten, _erfc) \
_(aten, _exp) \
_(aten, _exp2) \
_(aten, _expm1) \
_(aten, _fft_with_size) \
_(aten, _fill) \
_(aten, _floor) \
_(aten, _fused_dropout) \
_(aten, _indexCopy) \
_(aten, _indices) \
_(aten, _ldexp) \
_(aten, _linspace) \
_(aten, _local_scalar) \
_(aten, _local_scalar_dense) \
_(aten, _log) \
_(aten, _log10) \
_(aten, _log1p) \
_(aten, _log2) \
_(aten, _logspace) \
_(aten, _lu_with_info) \
_(aten, _masked_scale) \
_(aten, _mm) \
_(aten, _mv) \
_(aten, _nnz) \
_(aten, _nansum) \
_(aten, _pack_padded_sequence) \
_(aten, _pack_padded_sequence_backward) \
_(aten, _pad_packed_sequence) \
_(aten, _pdist_backward) \
_(aten, _pdist_forward) \
_(aten, _prod) \
_(aten, _prodall) \
_(aten, _range) \
_(aten, _reshape_from_tensor) \
_(aten, _round) \
_(aten, _rsqrt) \
_(aten, _s_where) \
_(aten, _shape_as_tensor) \
_(aten, _sigmoid) \
_(aten, _sigmoid_forward) \
_(aten, _sin) \
_(aten, _sinh) \
_(aten, _sparseDims) \
_(aten, _sparse_add) \
_(aten, _sparse_addmm) \
_(aten, _sparse_coo_tensor_with_dims) \
_(aten, _sparse_coo_tensor_with_dims_and_tensors) \
_(aten, _sparse_coo_tensor_unsafe) \
_(aten, _sparse_dense_add) \
_(aten, _sparse_div_scalar) \
_(aten, _sparse_div_zerodim) \
_(aten, _sparse_mul) \
_(aten, _sparse_mul_scalar) \
_(aten, _sparse_mul_zerodim) \
_(aten, _sparse_sum) \
_(aten, _sqrt) \
_(aten, _square) \
_(aten, _standard_gamma) \
_(aten, _standard_gamma_grad) \
_(aten, _sum) \
_(aten, _sum_cuda) \
_(aten, _tan) \
_(aten, _tanh) \
_(aten, _tanh_forward) \
_(aten, _th_get_device) \
_(aten, _th_kthvalue) \
_(aten, _th_mode) \
_(aten, _th_prod) \
_(aten, _th_sigmoid) \
_(aten, _th_std) \
_(aten, _th_sum) \
_(aten, _th_tanh) \
_(aten, _th_var) \
_(aten, _thnn_fused_gru_cell) \
_(aten, _thnn_fused_gru_cell_backward) \
_(aten, _thnn_fused_lstm_cell) \
_(aten, _thnn_fused_lstm_cell_backward) \
_(aten, _trilinear) \
_(aten, _trunc) \
_(aten, _unique) \
_(aten, _unique_dim) \
_(aten, _unsafe_view) \
_(aten, _validate_sparse_coo_tensor_args) \
_(aten, _values) \
_(aten, _weight_norm) \
_(aten, _weight_norm_cuda_interface) \
_(aten, _weight_norm_cuda_interface_backward) \
_(aten, _weight_norm_differentiable_backward) \
_(aten, abs) \
_(aten, adaptive_avg_pool1d) \
_(aten, adaptive_avg_pool2d) \
_(aten, adaptive_avg_pool2d_backward) \
_(aten, adaptive_avg_pool2d_forward) \
_(aten, adaptive_avg_pool3d) \
_(aten, adaptive_avg_pool3d_backward) \
_(aten, adaptive_avg_pool3d_forward) \
_(aten, adaptive_max_pool1d) \
_(aten, adaptive_max_pool2d) \
_(aten, adaptive_max_pool2d_backward) \
_(aten, adaptive_max_pool2d_forward) \
_(aten, adaptive_max_pool3d) \
_(aten, adaptive_max_pool3d_backward) \
_(aten, adaptive_max_pool3d_forward) \
_(aten, add) \
_(aten, add_) \
_(aten, addbmm) \
_(aten, addcdiv) \
_(aten, addcmul) \
_(aten, addmm) \
_(aten, addmv) \
_(aten, addr) \
_(aten, affine_grid_generator) \
_(aten, affine_grid_generator_backward) \
_(aten, alias) \
_(aten, all) \
_(aten, allclose) \
_(aten, alpha_dropout) \
_(aten, any) \
_(aten, arange) \
_(aten, argmax) \
_(aten, argmin) \
_(aten, as_strided) \
_(aten, as_tensor) \
_(aten, atan2) \
_(aten, atleast_1d) \
_(aten, atleast_2d) \
_(aten, atleast_3d) \
_(aten, avg_pool1d) \
_(aten, avg_pool2d) \
_(aten, avg_pool2d_backward) \
_(aten, avg_pool2d_forward) \
_(aten, avg_pool3d) \
_(aten, avg_pool3d_backward) \
_(aten, avg_pool3d_forward) \
_(aten, baddbmm) \
_(aten, bartlett_window) \
_(aten, batch_norm) \
_(aten, bernoulli) \
_(aten, bilinear) \
_(aten, binary_cross_entropy) \
_(aten, binary_cross_entropy_backward) \
_(aten, binary_cross_entropy_forward) \
_(aten, binary_cross_entropy_with_logits) \
_(aten, binary_cross_entropy_with_logits_backward) \
_(aten, binary_cross_entropy_with_logits_target_backward) \
_(aten, bincount) \
_(aten, blackman_window) \
_(aten, block_diag) \
_(aten, bmm) \
_(aten, broadcast_tensors) \
_(aten, broadcast_to) \
_(aten, cartesian_prod) \
_(aten, cat) \
_(aten, cauchy) \
_(aten, ceil) \
_(aten, celu) \
_(aten, chain_matmul) \
_(aten, cholesky) \
_(aten, cholesky_inverse) \
_(aten, cholesky_solve) \
_(aten, chunk) \
_(aten, clamp_max) \
_(aten, clamp_min) \
_(aten, clone) \
_(aten, coalesce) \
_(aten, combinations) \
_(aten, _conj) \
_(aten, conj) \
_(aten, complex) \
_(aten, copysign) \
_(aten, polar) \
_(aten, constant_pad_nd) \
_(aten, contiguous) \
_(aten, conv1d) \
_(aten, conv2d) \
_(aten, conv3d) \
_(aten, conv_tbc) \
_(aten, conv_tbc_backward) \
_(aten, conv_transpose1d) \
_(aten, convolution) \
_(aten, copy_sparse_to_sparse) \
_(aten, cos) \
_(aten, cosh) \
_(aten, cosine_embedding_loss) \
_(aten, cosine_similarity) \
_(aten, count_nonzero) \
_(aten, cross) \
_(aten, std_mean) \
_(aten, var_mean) \
_(aten, ctc_loss) \
_(aten, cudnn_affine_grid_generator) \
_(aten, cudnn_affine_grid_generator_backward) \
_(aten, cudnn_batch_norm) \
_(aten, cudnn_batch_norm_backward) \
_(aten, cudnn_convolution) \
_(aten, cudnn_convolution_backward) \
_(aten, cudnn_convolution_backward_bias) \
_(aten, cudnn_convolution_backward_input) \
_(aten, cudnn_convolution_backward_weight) \
_(aten, cudnn_convolution_transpose) \
_(aten, cudnn_convolution_transpose_backward) \
_(aten, cudnn_convolution_transpose_backward_bias) \
_(aten, cudnn_convolution_transpose_backward_input) \
_(aten, cudnn_convolution_transpose_backward_weight) \
_(aten, cudnn_grid_sampler) \
_(aten, cudnn_grid_sampler_backward) \
_(aten, cudnn_is_acceptable) \
_(aten, cummax) \
_(aten, cummin) \
_(aten, cumprod) \
_(aten, cumsum) \
_(aten, data_ptr) \
_(aten, deg2rad) \
_(aten, detach) \
_(aten, diag) \
_(aten, diag_embed) \
_(aten, diagflat) \
_(aten, diagonal) \
_(aten, fill_diagonal_) \
_(aten, diff) \
_(aten, digamma) \
_(aten, dim) \
_(aten, dist) \
_(aten, dot) \
_(aten, dropout) \
_(aten, dstack) \
_(aten, eig) \
_(aten, einsum) \
_(aten, elu) \
_(aten, elu_backward) \
_(aten, elu_forward) \
_(aten, embedding) \
_(aten, embedding_backward) \
_(aten, embedding_bag) \
_(aten, embedding_dense_backward) \
_(aten, embedding_renorm) \
_(aten, embedding_sparse_backward) \
_(aten, empty) \
_(aten, empty_like) \
_(aten, empty_strided) \
_(aten, eq) \
_(aten, equal) \
_(aten, erf) \
_(aten, erfc) \
_(aten, erfinv) \
_(aten, exp) \
_(aten, expand) \
_(aten, expand_as) \
_(aten, expm1) \
_(aten, exponential) \
_(aten, eye) \
_(aten, feature_alpha_dropout) \
_(aten, feature_dropout) \
_(aten, fft) \
_(aten, fill) \
_(aten, flatten) \
_(aten, flip) \
_(aten, fliplr) \
_(aten, flipud) \
_(aten, floor) \
_(aten, fmod) \
_(aten, fmod_) \
_(aten, fmax) \
_(aten, fmin) \
_(aten, frac) \
_(aten, fractional_max_pool2d) \
_(aten, fractional_max_pool2d_backward) \
_(aten, fractional_max_pool2d_forward) \
_(aten, frobenius_norm) \
_(aten, full) \
_(aten, full_like) \
_(aten, gather) \
_(aten, gcd) \