/final_test_proxy_tensor.csv Secret
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November 12, 2022 18:36
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807a62fc61bea26707c3dc09a12bad204e375a95 | https://gist.github.com/9a6556a3a1d74413410da0d9d32446e4 | ||
---|---|---|---|
addmv_cpu_float32 | RuntimeError: aten.addmv.default - couldn't find symbolic meta function/decomposition | ||
addr_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
allclose_cpu_float32 | RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten.allclose.default - erroring out! It's likely that this is caused by data-dependent control flow or similar. | ||
aminmax_cpu_float32 | RuntimeError: aten.aminmax.default - couldn't find symbolic meta function/decomposition | ||
argwhere_cpu_float32 | RuntimeError: aten.nonzero.default - couldn't find symbolic meta function/decomposition | ||
baddbmm_cpu_float32 | RuntimeError: aten.baddbmm.default - couldn't find symbolic meta function/decomposition | ||
bucketize_cpu_float32 | torch._subclasses.fake_tensor.DataDependentOutputException: aten._local_scalar_dense.default | ||
cartesian_prod_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
cdist_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
cholesky_cpu_float32 | RuntimeError: aten.cholesky.default - couldn't find symbolic meta function/decomposition | ||
cholesky_inverse_cpu_float32 | RuntimeError: aten.cholesky_inverse.default - couldn't find symbolic meta function/decomposition | ||
cholesky_solve_cpu_float32 | RuntimeError: aten.cholesky_solve.default - couldn't find symbolic meta function/decomposition | ||
column_stack_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
combinations_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
corrcoef_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
count_nonzero_cpu_float32 | RuntimeError: aten.count_nonzero.default - couldn't find symbolic meta function/decomposition | ||
cov_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
cross_cpu_float32 | RuntimeError: aten.linalg_cross.default - couldn't find symbolic meta function/decomposition | ||
cummax_cpu_float32 | RuntimeError: aten.cummax.default - couldn't find symbolic meta function/decomposition | ||
cummin_cpu_float32 | RuntimeError: aten.cummin.default - couldn't find symbolic meta function/decomposition | ||
cumprod_cpu_float32 | RuntimeError: aten.cumprod.default - couldn't find symbolic meta function/decomposition | ||
cumulative_trapezoid_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
deg2rad_cpu_float32 | RuntimeError: aten.deg2rad.default - couldn't find symbolic meta function/decomposition | ||
diff_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
dist_cpu_float32 | RuntimeError: aten.dist.default - couldn't find symbolic meta function/decomposition | ||
dsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
equal_cpu_float32 | RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten.equal.default - erroring out! It's likely that this is caused by data-dependent control flow or similar. | ||
fft_fft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_fft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_fftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_fftshift_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_hfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_hfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_hfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_ifft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_ifft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_ifftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_ifftshift_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_ihfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_ihfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_ihfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_irfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_irfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_irfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_rfft2_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_rfft_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
fft_rfftn_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
frexp_cpu_float32 | RuntimeError: aten.frexp.Tensor - couldn't find symbolic meta function/decomposition | ||
geqrf_cpu_float32 | RuntimeError: aten.geqrf.default - couldn't find symbolic meta function/decomposition | ||
gradient_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
histc_cpu_float32 | RuntimeError: aten.histc.default - couldn't find symbolic meta function/decomposition | ||
histogram_cpu_float32 | RuntimeError: aten.histogram.bin_ct - couldn't find symbolic meta function/decomposition | ||
histogramdd_cpu_float32 | RuntimeError: aten._histogramdd_bin_edges.default - couldn't find symbolic meta function/decomposition | ||
hsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
i0_cpu_float32 | RuntimeError: aten.i0.default - couldn't find symbolic meta function/decomposition | ||
index_reduce_cpu_float32 | RuntimeError: aten.index_reduce.default - couldn't find symbolic meta function/decomposition | ||
inner_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
inplace_abs_cpu_float32 | RuntimeError: aten.abs_.default - couldn't find symbolic meta function/decomposition | ||
inplace_acos_cpu_float32 | RuntimeError: aten.acos_.default - couldn't find symbolic meta function/decomposition | ||
inplace_acosh_cpu_float32 | RuntimeError: aten.acosh_.default - couldn't find symbolic meta function/decomposition | ||
inplace_addbmm_cpu_float32 | RuntimeError: aten.addbmm_.default - couldn't find symbolic meta function/decomposition | ||
inplace_addcdiv_cpu_float32 | RuntimeError: aten.addcdiv_.default - couldn't find symbolic meta function/decomposition | ||
inplace_addcmul_cpu_float32 | RuntimeError: aten.addcmul_.default - couldn't find symbolic meta function/decomposition | ||
inplace_addmm_cpu_float32 | RuntimeError: aten.addmm_.default - couldn't find symbolic meta function/decomposition | ||
inplace_addmm_decomposed_cpu_float32 | RuntimeError: aten.addmm_.default - couldn't find symbolic meta function/decomposition | ||
inplace_addmv_cpu_float32 | RuntimeError: aten.addmv_.default - couldn't find symbolic meta function/decomposition | ||
inplace_addr_cpu_float32 | RuntimeError: aten.addr_.default - couldn't find symbolic meta function/decomposition | ||
inplace_asin_cpu_float32 | RuntimeError: aten.asin_.default - couldn't find symbolic meta function/decomposition | ||
inplace_asinh_cpu_float32 | RuntimeError: aten.asinh_.default - couldn't find symbolic meta function/decomposition | ||
inplace_atan2_cpu_float32 | RuntimeError: aten.atan2_.default - couldn't find symbolic meta function/decomposition | ||
inplace_atan_cpu_float32 | RuntimeError: aten.atan_.default - couldn't find symbolic meta function/decomposition | ||
inplace_atanh_cpu_float32 | RuntimeError: aten.atanh_.default - couldn't find symbolic meta function/decomposition | ||
inplace_baddbmm_cpu_float32 | RuntimeError: aten.baddbmm_.default - couldn't find symbolic meta function/decomposition | ||
inplace_ceil_cpu_float32 | RuntimeError: aten.ceil_.default - couldn't find symbolic meta function/decomposition | ||
inplace_clamp_cpu_float32 | RuntimeError: aten.clamp_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_clamp_max_cpu_float32 | RuntimeError: aten.clamp_max_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_clamp_min_cpu_float32 | RuntimeError: aten.clamp_min_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_conj_physical_cpu_float32 | RuntimeError: aten.conj_physical_.default - couldn't find symbolic meta function/decomposition | ||
inplace_copysign_cpu_float32 | RuntimeError: aten.copysign_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_cos_cpu_float32 | RuntimeError: aten.cos_.default - couldn't find symbolic meta function/decomposition | ||
inplace_cosh_cpu_float32 | RuntimeError: aten.cosh_.default - couldn't find symbolic meta function/decomposition | ||
inplace_cumprod_cpu_float32 | RuntimeError: aten.cumprod_.default - couldn't find symbolic meta function/decomposition | ||
inplace_cumsum_cpu_float32 | RuntimeError: aten.cumsum_.default - couldn't find symbolic meta function/decomposition | ||
inplace_deg2rad_cpu_float32 | RuntimeError: aten.deg2rad_.default - couldn't find symbolic meta function/decomposition | ||
inplace_digamma_cpu_float32 | RuntimeError: aten.digamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_div_floor_rounding_cpu_float32 | RuntimeError: aten.div_.Tensor_mode - couldn't find symbolic meta function/decomposition | ||
inplace_div_trunc_rounding_cpu_float32 | RuntimeError: aten.div_.Tensor_mode - couldn't find symbolic meta function/decomposition | ||
inplace_eq_cpu_float32 | RuntimeError: aten.eq_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_erf_cpu_float32 | RuntimeError: aten.erf_.default - couldn't find symbolic meta function/decomposition | ||
inplace_erfc_cpu_float32 | RuntimeError: aten.erfc_.default - couldn't find symbolic meta function/decomposition | ||
inplace_erfinv_cpu_float32 | RuntimeError: aten.erfinv_.default - couldn't find symbolic meta function/decomposition | ||
inplace_exp2_cpu_float32 | RuntimeError: aten.exp2_.default - couldn't find symbolic meta function/decomposition | ||
inplace_exp_cpu_float32 | RuntimeError: aten.exp_.default - couldn't find symbolic meta function/decomposition | ||
inplace_expm1_cpu_float32 | RuntimeError: aten.expm1_.default - couldn't find symbolic meta function/decomposition | ||
inplace_float_power_cpu_float32 | RuntimeError: the base given to float_power_ has dtype Float but the operation's result requires dtype Double | ||
inplace_floor_cpu_float32 | RuntimeError: aten.floor_.default - couldn't find symbolic meta function/decomposition | ||
inplace_floor_divide_cpu_float32 | RuntimeError: aten.floor_divide_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_fmod_cpu_float32 | RuntimeError: aten.fmod_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_frac_cpu_float32 | RuntimeError: aten.frac_.default - couldn't find symbolic meta function/decomposition | ||
inplace_ge_cpu_float32 | RuntimeError: aten.ge_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_gt_cpu_float32 | RuntimeError: aten.gt_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_heaviside_cpu_float32 | RuntimeError: aten.heaviside_.default - couldn't find symbolic meta function/decomposition | ||
inplace_hypot_cpu_float32 | RuntimeError: aten.hypot_.default - couldn't find symbolic meta function/decomposition | ||
inplace_i0_cpu_float32 | RuntimeError: aten.i0_.default - couldn't find symbolic meta function/decomposition | ||
inplace_igamma_cpu_float32 | RuntimeError: aten.igamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_igammac_cpu_float32 | RuntimeError: aten.igammac_.default - couldn't find symbolic meta function/decomposition | ||
inplace_index_reduce_cpu_float32 | RuntimeError: aten.index_reduce_.default - couldn't find symbolic meta function/decomposition | ||
inplace_le_cpu_float32 | RuntimeError: aten.le_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_lerp_cpu_float32 | RuntimeError: aten.lerp_.Scalar - couldn't find symbolic meta function/decomposition | ||
inplace_lgamma_cpu_float32 | RuntimeError: aten.lgamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_log10_cpu_float32 | RuntimeError: aten.log10_.default - couldn't find symbolic meta function/decomposition | ||
inplace_log1p_cpu_float32 | RuntimeError: aten.log1p_.default - couldn't find symbolic meta function/decomposition | ||
inplace_log2_cpu_float32 | RuntimeError: aten.log2_.default - couldn't find symbolic meta function/decomposition | ||
inplace_log_cpu_float32 | RuntimeError: aten.log_.default - couldn't find symbolic meta function/decomposition | ||
inplace_logit_cpu_float32 | RuntimeError: aten.logit_.default - couldn't find symbolic meta function/decomposition | ||
inplace_lt_cpu_float32 | RuntimeError: aten.lt_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_masked_fill_cpu_float32 | RuntimeError: aten.masked_fill_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_masked_scatter_cpu_float32 | RuntimeError: aten.masked_scatter_.default - couldn't find symbolic meta function/decomposition | ||
inplace_mvlgamma_mvlgamma_p_1_cpu_float32 | RuntimeError: aten.mvlgamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_mvlgamma_mvlgamma_p_3_cpu_float32 | RuntimeError: aten.mvlgamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_mvlgamma_mvlgamma_p_5_cpu_float32 | RuntimeError: aten.mvlgamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nan_to_num_cpu_float32 | RuntimeError: aten.nan_to_num_.default - couldn't find symbolic meta function/decomposition | ||
inplace_ne_cpu_float32 | RuntimeError: aten.ne_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_neg_cpu_float32 | RuntimeError: aten.neg_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nextafter_cpu_float32 | RuntimeError: aten.nextafter_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nn_functional_celu_cpu_float32 | RuntimeError: aten.celu_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nn_functional_elu_cpu_float32 | RuntimeError: aten.elu_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nn_functional_hardsigmoid_cpu_float32 | RuntimeError: aten.hardsigmoid_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nn_functional_mish_cpu_float32 | RuntimeError: aten.mish_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nn_functional_rrelu_cpu_float32 | RuntimeError: aten.rrelu_with_noise_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nn_functional_selu_cpu_float32 | RuntimeError: aten.elu_.default - couldn't find symbolic meta function/decomposition | ||
inplace_nn_functional_threshold_cpu_float32 | RuntimeError: aten.threshold_.default - couldn't find symbolic meta function/decomposition | ||
inplace_polygamma_polygamma_n_0_cpu_float32 | RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_polygamma_polygamma_n_1_cpu_float32 | RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_polygamma_polygamma_n_2_cpu_float32 | RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_polygamma_polygamma_n_3_cpu_float32 | RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_polygamma_polygamma_n_4_cpu_float32 | RuntimeError: aten.polygamma_.default - couldn't find symbolic meta function/decomposition | ||
inplace_pow_cpu_float32 | RuntimeError: aten.pow_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_put_cpu_float32 | RuntimeError: aten.put_.default - couldn't find symbolic meta function/decomposition | ||
inplace_rad2deg_cpu_float32 | RuntimeError: aten.rad2deg_.default - couldn't find symbolic meta function/decomposition | ||
inplace_reciprocal_cpu_float32 | RuntimeError: aten.reciprocal_.default - couldn't find symbolic meta function/decomposition | ||
inplace_remainder_cpu_float32 | RuntimeError: aten.remainder_.Tensor - couldn't find symbolic meta function/decomposition | ||
inplace_renorm_cpu_float32 | RuntimeError: aten.renorm_.default - couldn't find symbolic meta function/decomposition | ||
inplace_resize__cpu_float32 | RuntimeError: Expected !size_bytes_is_symbolic_ to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
inplace_resize_as__cpu_float32 | RuntimeError: aten.resize_as_.default - couldn't find symbolic meta function/decomposition | ||
inplace_round_cpu_float32 | RuntimeError: aten.round_.default - couldn't find symbolic meta function/decomposition | ||
inplace_round_decimals_0_cpu_float32 | RuntimeError: aten.round_.decimals - couldn't find symbolic meta function/decomposition | ||
inplace_round_decimals_3_cpu_float32 | RuntimeError: aten.round_.decimals - couldn't find symbolic meta function/decomposition | ||
inplace_round_decimals_neg_3_cpu_float32 | RuntimeError: aten.round_.decimals - couldn't find symbolic meta function/decomposition | ||
inplace_rsqrt_cpu_float32 | RuntimeError: aten.rsqrt_.default - couldn't find symbolic meta function/decomposition | ||
inplace_sgn_cpu_float32 | RuntimeError: aten.sgn_.default - couldn't find symbolic meta function/decomposition | ||
inplace_sigmoid_cpu_float32 | RuntimeError: aten.sigmoid_.default - couldn't find symbolic meta function/decomposition | ||
inplace_sign_cpu_float32 | RuntimeError: aten.sign_.default - couldn't find symbolic meta function/decomposition | ||
inplace_sin_cpu_float32 | RuntimeError: aten.sin_.default - couldn't find symbolic meta function/decomposition | ||
inplace_sinc_cpu_float32 | RuntimeError: aten.sinc_.default - couldn't find symbolic meta function/decomposition | ||
inplace_sinh_cpu_float32 | RuntimeError: aten.sinh_.default - couldn't find symbolic meta function/decomposition | ||
inplace_sqrt_cpu_float32 | RuntimeError: aten.sqrt_.default - couldn't find symbolic meta function/decomposition | ||
inplace_square_cpu_float32 | RuntimeError: aten.pow_.Scalar - couldn't find symbolic meta function/decomposition | ||
inplace_squeeze_cpu_float32 | RuntimeError: aten.squeeze_.default - couldn't find symbolic meta function/decomposition | ||
inplace_t_cpu_float32 | RuntimeError: aten.t_.default - couldn't find symbolic meta function/decomposition | ||
inplace_tan_cpu_float32 | RuntimeError: aten.tan_.default - couldn't find symbolic meta function/decomposition | ||
inplace_tanh_cpu_float32 | RuntimeError: aten.tanh_.default - couldn't find symbolic meta function/decomposition | ||
inplace_transpose_cpu_float32 | RuntimeError: aten.transpose_.default - couldn't find symbolic meta function/decomposition | ||
inplace_tril_cpu_float32 | RuntimeError: aten.tril_.default - couldn't find symbolic meta function/decomposition | ||
inplace_triu_cpu_float32 | RuntimeError: aten.triu_.default - couldn't find symbolic meta function/decomposition | ||
inplace_trunc_cpu_float32 | RuntimeError: aten.trunc_.default - couldn't find symbolic meta function/decomposition | ||
inplace_uniform_cpu_float32 | RuntimeError: aten.uniform_.default - couldn't find symbolic meta function/decomposition | ||
inplace_xlogy_cpu_float32 | RuntimeError: aten.xlogy_.Tensor - couldn't find symbolic meta function/decomposition | ||
isclose_cpu_float32 | RuntimeError: aten.bitwise_and_.Tensor - couldn't find symbolic meta function/decomposition | ||
isin_cpu_float32 | RuntimeError: aten.isin.Tensor_Tensor - couldn't find symbolic meta function/decomposition | ||
kron_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
kthvalue_cpu_float32 | RuntimeError: aten.kthvalue.default - couldn't find symbolic meta function/decomposition | ||
linalg_cholesky_cpu_float32 | RuntimeError: aten.linalg_cholesky_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_cholesky_ex_cpu_float32 | RuntimeError: aten.linalg_cholesky_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_cond_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
linalg_cross_cpu_float32 | RuntimeError: aten.linalg_cross.default - couldn't find symbolic meta function/decomposition | ||
linalg_det_cpu_float32 | RuntimeError: aten._linalg_det.default - couldn't find symbolic meta function/decomposition | ||
linalg_det_singular_cpu_float32 | RuntimeError: aten._linalg_det.default - couldn't find symbolic meta function/decomposition | ||
linalg_eig_cpu_float32 | RuntimeError: aten.linalg_eig.default - couldn't find symbolic meta function/decomposition | ||
linalg_eigh_cpu_float32 | RuntimeError: aten._linalg_eigh.default - couldn't find symbolic meta function/decomposition | ||
linalg_eigvals_cpu_float32 | RuntimeError: aten.linalg_eig.default - couldn't find symbolic meta function/decomposition | ||
linalg_eigvalsh_cpu_float32 | RuntimeError: aten._linalg_eigh.default - couldn't find symbolic meta function/decomposition | ||
linalg_householder_product_cpu_float32 | RuntimeError: aten.linalg_householder_product.default - couldn't find symbolic meta function/decomposition | ||
linalg_inv_cpu_float32 | RuntimeError: aten.linalg_inv_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_inv_ex_cpu_float32 | RuntimeError: aten.linalg_inv_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_ldl_factor_cpu_float32 | RuntimeError: aten.linalg_ldl_factor_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_ldl_factor_ex_cpu_float32 | RuntimeError: aten.linalg_ldl_factor_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_ldl_solve_cpu_float32 | RuntimeError: aten.linalg_ldl_solve.default - couldn't find symbolic meta function/decomposition | ||
linalg_lu_cpu_float32 | RuntimeError: aten.linalg_lu.default - couldn't find symbolic meta function/decomposition | ||
linalg_lu_factor_cpu_float32 | RuntimeError: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_lu_factor_ex_cpu_float32 | RuntimeError: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_lu_solve_cpu_float32 | RuntimeError: aten.linalg_lu_solve.default - couldn't find symbolic meta function/decomposition | ||
linalg_matrix_norm_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
linalg_matrix_power_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
linalg_matrix_rank_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
linalg_matrix_rank_hermitian_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
linalg_multi_dot_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
linalg_norm_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
linalg_norm_subgradients_at_zero_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
linalg_pinv_cpu_float32 | RuntimeError: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition | ||
linalg_pinv_hermitian_cpu_float32 | RuntimeError: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition | ||
linalg_qr_cpu_float32 | RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition | ||
linalg_slogdet_cpu_float32 | RuntimeError: aten._linalg_slogdet.default - couldn't find symbolic meta function/decomposition | ||
linalg_solve_cpu_float32 | RuntimeError: aten._linalg_solve_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_solve_ex_cpu_float32 | RuntimeError: aten._linalg_solve_ex.default - couldn't find symbolic meta function/decomposition | ||
linalg_solve_triangular_cpu_float32 | RuntimeError: aten.linalg_solve_triangular.default - couldn't find symbolic meta function/decomposition | ||
linalg_svd_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
linalg_svdvals_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
linalg_tensorinv_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
linalg_tensorsolve_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
linalg_vander_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
logaddexp2_cpu_float32 | RuntimeError: aten.logaddexp2.default - couldn't find symbolic meta function/decomposition | ||
logaddexp_cpu_float32 | RuntimeError: aten.logaddexp.default - couldn't find symbolic meta function/decomposition | ||
logcumsumexp_cpu_float32 | RuntimeError: aten.logcumsumexp.default - couldn't find symbolic meta function/decomposition | ||
logdet_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
lu_cpu_float32 | RuntimeError: aten.linalg_lu_factor_ex.default - couldn't find symbolic meta function/decomposition | ||
lu_solve_cpu_float32 | RuntimeError: aten.linalg_lu_solve.default - couldn't find symbolic meta function/decomposition | ||
lu_unpack_cpu_float32 | RuntimeError: aten.lu_unpack.default - couldn't find symbolic meta function/decomposition | ||
masked_cumprod_cpu_float32 | RuntimeError: aten.cumprod.default - couldn't find symbolic meta function/decomposition | ||
masked_fill_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
masked_logaddexp_cpu_float32 | RuntimeError: aten.logaddexp.default - couldn't find symbolic meta function/decomposition | ||
masked_scatter_cpu_float32 | RuntimeError: aten.masked_scatter.default - couldn't find symbolic meta function/decomposition | ||
masked_select_cpu_float32 | RuntimeError: aten.masked_select.default - couldn't find symbolic meta function/decomposition | ||
matrix_exp_cpu_float32 | RuntimeError: aten.linalg_matrix_exp.default - couldn't find symbolic meta function/decomposition | ||
median_cpu_float32 | RuntimeError: aten.median.default - couldn't find symbolic meta function/decomposition | ||
meshgrid_list_of_tensors_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
meshgrid_variadic_tensors_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
min_reduction_with_dim_cpu_float32 | RuntimeError: aten.min.dim - couldn't find symbolic meta function/decomposition | ||
mode_cpu_float32 | RuntimeError: aten.mode.default - couldn't find symbolic meta function/decomposition | ||
multinomial_cpu_float32 | RuntimeError: aten.multinomial.default - couldn't find symbolic meta function/decomposition | ||
nan_to_num_cpu_float32 | RuntimeError: Cannot cast FakeTensor(FakeTensor(..., device='meta', size=()), cpu) to number | ||
nanquantile_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
narrow_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
nn_functional_adaptive_max_pool1d_cpu_float32 | RuntimeError: aten.adaptive_max_pool2d.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_adaptive_max_pool2d_cpu_float32 | RuntimeError: aten.adaptive_max_pool2d.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_adaptive_max_pool3d_cpu_float32 | TypeError: adaptive_max_pool3d(): argument 'output_size' (position 2) must be tuple of ints, but found element of type SymInt at pos 1 | ||
nn_functional_avg_pool3d_cpu_float32 | RuntimeError: aten.avg_pool3d.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_bilinear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_binary_cross_entropy_cpu_float32 | RuntimeError: expected int at position 0, but got: SymInt | ||
nn_functional_cosine_embedding_loss_cpu_float32 | RuntimeError: aten.sqrt_.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_cosine_similarity_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_cross_entropy_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_ctc_loss_cpu_float32 | RuntimeError: aten._ctc_loss.Tensor - couldn't find symbolic meta function/decomposition | ||
nn_functional_embedding_bag_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_embedding_cpu_float32 | TypeError: embedding(): argument 'padding_idx' (position 3) must be int, not SymInt | ||
nn_functional_fractional_max_pool2d_cpu_float32 | RuntimeError: aten.rand.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_fractional_max_pool3d_cpu_float32 | RuntimeError: aten.rand.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_gaussian_nll_loss_cpu_float32 | RuntimeError: It appears that you're trying to get value out of a tracing tensor with aten._local_scalar_dense.default - erroring out! It's likely that this is caused by data-dependent control flow or similar. | ||
nn_functional_grid_sample_cpu_float32 | RuntimeError: aten.round.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_hinge_embedding_loss_cpu_float32 | RuntimeError: aten.clamp_min_.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_interpolate_area_cpu_float32 | TypeError: adaptive_avg_pool1d(): argument 'output_size' (position 2) must be tuple of ints, but found element of type SymInt at pos 0 | ||
nn_functional_interpolate_bicubic_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_interpolate_linear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_interpolate_nearest_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_interpolate_trilinear_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_margin_ranking_loss_cpu_float32 | RuntimeError: aten.clamp_min_.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_max_pool1d_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nn_functional_max_pool3d_cpu_float32 | RuntimeError: aten.max_pool3d_with_indices.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_max_unpool1d_grad_cpu_float32 | RuntimeError: aten.max_unpool2d.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_max_unpool2d_grad_cpu_float32 | RuntimeError: aten.max_unpool2d.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_max_unpool3d_grad_cpu_float32 | RuntimeError: aten.max_unpool3d.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_multi_margin_loss_cpu_float32 | RuntimeError: aten.multi_margin_loss.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_multilabel_margin_loss_cpu_float32 | RuntimeError: aten.multilabel_margin_loss_forward.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_pad_reflect_cpu_float32 | RuntimeError: aten.reflection_pad1d.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_pad_replicate_cpu_float32 | RuntimeError: aten.replication_pad1d.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_pdist_cpu_float32 | RuntimeError: aten._pdist_forward.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_pixel_shuffle_cpu_float32 | RuntimeError: aten.pixel_shuffle.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_pixel_unshuffle_cpu_float32 | RuntimeError: aten.pixel_unshuffle.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_rrelu_cpu_float32 | RuntimeError: aten.rrelu_with_noise.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_smooth_l1_loss_cpu_float32 | RuntimeError: aten.smooth_l1_loss.default - couldn't find symbolic meta function/decomposition | ||
nn_functional_upsample_nearest_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
nonzero_cpu_float32 | RuntimeError: aten.nonzero.default - couldn't find symbolic meta function/decomposition | ||
norm_nuc_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
normal_cpu_float32 | RuntimeError: aten.normal.Tensor_Tensor - couldn't find symbolic meta function/decomposition | ||
normal_number_mean_cpu_float32 | RuntimeError: aten.normal.float_Tensor - couldn't find symbolic meta function/decomposition | ||
ormqr_cpu_float32 | RuntimeError: aten.ormqr.default - couldn't find symbolic meta function/decomposition | ||
outer_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
pca_lowrank_cpu_float32 | RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition | ||
pinverse_cpu_float32 | RuntimeError: aten.linalg_pinv.atol_rtol_tensor - couldn't find symbolic meta function/decomposition | ||
polar_cpu_float32 | RuntimeError: aten.polar.default - couldn't find symbolic meta function/decomposition | ||
polygamma_polygamma_n_0_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
polygamma_polygamma_n_1_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
polygamma_polygamma_n_2_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
polygamma_polygamma_n_3_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
polygamma_polygamma_n_4_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
put_cpu_float32 | RuntimeError: aten.put.default - couldn't find symbolic meta function/decomposition | ||
qr_cpu_float32 | RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition | ||
quantile_cpu_float32 | RuntimeError: Cannot call numel() on tensor with symbolic sizes/strides | ||
rad2deg_cpu_float32 | RuntimeError: aten.rad2deg.default - couldn't find symbolic meta function/decomposition | ||
renorm_cpu_float32 | RuntimeError: aten.renorm.default - couldn't find symbolic meta function/decomposition | ||
resize__cpu_float32 | RuntimeError: Expected !size_bytes_is_symbolic_ to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.) | ||
resize_as__cpu_float32 | RuntimeError: aten.resize_as_.default - couldn't find symbolic meta function/decomposition | ||
roll_cpu_float32 | IndexError: Dimension out of range (expected to be in range of [-s0, s0 - 1], but got Mod(-2, s0)) | ||
round_cpu_float32 | RuntimeError: aten.round.default - couldn't find symbolic meta function/decomposition | ||
round_decimals_0_cpu_float32 | RuntimeError: aten.round.decimals - couldn't find symbolic meta function/decomposition | ||
round_decimals_3_cpu_float32 | RuntimeError: aten.round.decimals - couldn't find symbolic meta function/decomposition | ||
round_decimals_neg_3_cpu_float32 | RuntimeError: aten.round.decimals - couldn't find symbolic meta function/decomposition | ||
searchsorted_cpu_float32 | RuntimeError: aten.searchsorted.Tensor - couldn't find symbolic meta function/decomposition | ||
segment_reduce_lengths_cpu_float32 | RuntimeError: aten.segment_reduce.default - couldn't find symbolic meta function/decomposition | ||
segment_reduce_offsets_cpu_float32 | RuntimeError: aten.segment_reduce.default - couldn't find symbolic meta function/decomposition | ||
sparse_sampled_addmm_cpu_float32 | torch._subclasses.fake_tensor.UnsupportedFakeTensorException: meta converter nyi | ||
special_airy_ai_cpu_float32 | RuntimeError: aten.special_airy_ai.default - couldn't find symbolic meta function/decomposition | ||
special_bessel_y0_cpu_float32 | RuntimeError: aten.special_bessel_y0.default - couldn't find symbolic meta function/decomposition | ||
special_bessel_y1_cpu_float32 | RuntimeError: aten.special_bessel_y1.default - couldn't find symbolic meta function/decomposition | ||
special_chebyshev_polynomial_t_cpu_float32 | RuntimeError: aten.special_chebyshev_polynomial_t.default - couldn't find symbolic meta function/decomposition | ||
special_chebyshev_polynomial_u_cpu_float32 | RuntimeError: aten.special_chebyshev_polynomial_u.default - couldn't find symbolic meta function/decomposition | ||
special_hermite_polynomial_h_cpu_float32 | RuntimeError: aten.special_hermite_polynomial_h.default - couldn't find symbolic meta function/decomposition | ||
special_hermite_polynomial_he_cpu_float32 | RuntimeError: aten.special_hermite_polynomial_he.default - couldn't find symbolic meta function/decomposition | ||
special_laguerre_polynomial_l_cpu_float32 | RuntimeError: aten.special_laguerre_polynomial_l.default - couldn't find symbolic meta function/decomposition | ||
special_modified_bessel_i0_cpu_float32 | RuntimeError: aten.special_modified_bessel_i0.default - couldn't find symbolic meta function/decomposition | ||
special_modified_bessel_i1_cpu_float32 | RuntimeError: aten.special_modified_bessel_i1.default - couldn't find symbolic meta function/decomposition | ||
special_modified_bessel_k0_cpu_float32 | RuntimeError: aten.special_modified_bessel_k0.default - couldn't find symbolic meta function/decomposition | ||
special_modified_bessel_k1_cpu_float32 | RuntimeError: aten.special_modified_bessel_k1.default - couldn't find symbolic meta function/decomposition | ||
special_polygamma_special_polygamma_n_0_cpu_float32 | RuntimeError: aten.polygamma.default - couldn't find symbolic meta function/decomposition | ||
special_scaled_modified_bessel_k0_cpu_float32 | RuntimeError: aten.special_scaled_modified_bessel_k0.default - couldn't find symbolic meta function/decomposition | ||
special_scaled_modified_bessel_k1_cpu_float32 | RuntimeError: aten.special_scaled_modified_bessel_k1.default - couldn't find symbolic meta function/decomposition | ||
stft_cpu_float32 | RuntimeError: aten.reflection_pad1d.default - couldn't find symbolic meta function/decomposition | ||
sum_to_size_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
svd_cpu_float32 | RuntimeError: aten._linalg_svd.default - couldn't find symbolic meta function/decomposition | ||
svd_lowrank_cpu_float32 | RuntimeError: aten.linalg_qr.default - couldn't find symbolic meta function/decomposition | ||
symeig_cpu_float32 | RuntimeError: aten.symeig.default - couldn't find symbolic meta function/decomposition | ||
take_along_dim_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
take_cpu_float32 | RuntimeError: aten.take.default - couldn't find symbolic meta function/decomposition | ||
tensor_split_cpu_float32 | RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides | ||
tensordot_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
trapezoid_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
trapz_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
triangular_solve_cpu_float32 | RuntimeError: aten.triangular_solve.default - couldn't find symbolic meta function/decomposition | ||
unflatten_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
unique_consecutive_cpu_float32 | RuntimeError: aten.unique_consecutive.default - couldn't find symbolic meta function/decomposition | ||
unique_cpu_float32 | RuntimeError: aten._unique2.default - couldn't find symbolic meta function/decomposition | ||
view_as_complex_cpu_float32 | RuntimeError: aten.view_as_complex.default - couldn't find symbolic meta function/decomposition | ||
view_as_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides | ||
vsplit_cpu_float32 | RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides |
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