English | 简体中文
layout
, device
, requires_grad
, memory_format
.Generator
that manages the state of the algorithm which produces pseudo random numbers.MSAdapter APIs | Status | Restrictions |
---|---|---|
torch.is_tensor | Supported | |
torch.is_floating_point | Supported | |
torch.arange | Supported | |
torch.cat | Supported | |
torch.tensor | Supported | |
torch.as_tensor | Supported | |
torch.from_numpy | Supported | |
torch.frombuffer | Partly supported | Function is constrained |
torch.permute | Supported | |
torch.bitwise_left_shift | Supported | |
torch.bitwise_right_shift | Supported | |
torch.nan_to_num | Partly supported | Input type is constrained |
torch.range | Partly supported | Currently not support on Ascend |
torch.linspace | Supported | |
torch.logspace | Partly supported | Function is constrained |
torch.eye | Supported | |
torch.empty | Supported | |
torch.empty_like | Supported | |
torch.eig | Partly supported | Currently not support on GPU |
torch.full | Supported | |
torch.full_like | Supported | |
torch.polar | Supported | |
torch.concat | Supported | |
torch.column_stack | Supported | |
torch.gather | Supported | |
torch.is_complex | Supported | |
torch.hstack | Supported | |
torch.index_select | Supported | |
torch.masked_select | Supported | |
torch.movedim | Supported | |
torch.moveaxis | Supported | |
torch.narrow | Supported | |
torch.nonzero | Supported | |
torch.numel | Supported | |
torch.reshape | Supported | |
torch.row_stack | Supported | |
torch.select | Supported | |
torch.zeros | Supported | |
torch.squeeze | Supported | |
torch.stack | Supported | |
torch.swapaxes | Supported | |
torch.swapdims | Supported | |
torch.zeros_like | Supported | |
torch.take | Supported | |
torch.ones | Supported | |
torch.tile | Supported | |
torch.transpose | Supported | |
torch.unbind | Supported | |
torch.unsqueeze | Supported | |
torch.ones_like | Supported | |
torch.vstack | Supported | |
torch.heaviside | Supported | |
torch.seed | Supported | |
torch.initial_seed | Supported | |
torch.rand | Supported | |
torch.randn | Supported | |
torch.abs | Supported | |
torch.absolute | Supported | |
torch.acos | Supported | |
torch.adjoint | Supported | |
torch.acosh | Supported | |
torch.arccosh | Supported | |
torch.add | Partly supported | Function is constrained |
torch.addcdiv | Supported | |
torch.addcmul | Supported | |
torch.dsplit | Supported | |
torch.asin | Supported | |
torch.arcsin | Supported | |
torch.asinh | Supported | |
torch.arcsinh | Supported | |
torch.atan | Supported | |
torch.arctan | Supported | |
torch.atanh | Supported | |
torch.arctanh | Supported | |
torch.atan2 | Supported | |
torch.arctan2 | Supported | |
torch.bitwise_not | Supported | |
torch.bitwise_and | Supported | |
torch.bitwise_or | Supported | |
torch.bitwise_xor | Supported | |
torch.hsplit | Supported | |
torch.split | Supported | |
torch.ceil | Supported | |
torch.t | Supported | |
torch.tensor_split | Supported | |
torch.conj_physical | Supported | |
torch.copysign | Supported | |
torch.cos | Supported | |
torch.cosh | Supported | |
torch.deg2rad | Supported | |
torch.device | Supported | |
torch.div | Supported | |
torch.divide | Supported | |
torch.erf | Supported | |
torch.erfc | Supported | |
torch.erfinv | Supported | |
torch.exp | Supported | |
torch.exp2 | Supported | |
torch.expm1 | Supported | |
torch.fix | Supported | |
torch.vsplit | Supported | |
torch.floor | Supported | |
torch.floor_divide | Supported | |
torch.where | Supported | |
torch.frac | Supported | |
torch.frexp | Supported | |
torch.finfo | Supported | |
torch.iinfo | Supported | |
torch.ldexp | Supported | |
torch.lerp | Supported | |
torch.arccos | Supported | |
torch.log | Supported | |
torch.angle | Supported | |
torch.log1p | Supported | |
torch.clamp | Supported | |
torch.logaddexp | Supported | |
torch.logaddexp2 | Supported | |
torch.logical_not | Supported | |
torch.logical_or | Supported | |
torch.logit | Supported | |
torch.clip | Supported | |
torch.float_power | Partly Supported | Input type is constrained |
torch.igammac | Supported | |
torch.mul | Supported | |
torch.fmod | Supported | |
torch.lgamma | Partly supported | Currently not support on Ascend |
torch.neg | Supported | |
torch.log10 | Supported | |
torch.nextafter | Partly supported | Input type is constrained |
torch.positive | Supported | |
torch.pow | Supported | |
torch.rad2deg | Supported | |
torch.log2 | Supported | |
torch.hypot | Supported | |
torch.remainder | Supported | |
torch.round | Supported | |
torch.sigmoid | Supported | |
torch.multiply | Supported | |
torch.negative | Supported | |
torch.sin | Supported | |
torch.reciprocal | Supported | |
torch.sinh | Supported | |
torch.sqrt | Supported | |
torch.roll | Supported | |
torch.rot90 | Supported | |
torch.square | Supported | |
torch.sub | Supported | |
torch.rsqrt | Supported | |
torch.tan | Supported | |
torch.tanh | Supported | |
torch.sign | Supported | |
torch.trunc | Supported | |
torch.xlogy | Supported | |
torch.amax | Supported | |
torch.amin | Supported | |
torch.aminmax | Supported | |
torch.all | Supported | |
torch.any | Supported | |
torch.min | Supported | |
torch.dist | Supported | |
torch.logsumexp | Supported | |
torch.nanmean | Supported | |
torch.nansum | Supported | |
torch.prod | Supported | |
torch.qr | Supported | |
torch.std | Supported | |
torch.sgn | Supported | |
torch.unique_consecutive | Supported | |
torch.var | Supported | |
torch.count_nonzero | Supported | |
torch.allclose | Partly supported | Function is constrained |
torch.signbit | Supported | |
torch.eq | Supported | |
torch.equal | Supported | |
torch.ge | Supported | |
torch.greater_equal | Supported | |
torch.gt | Supported | |
torch.greater | Supported | |
torch.isclose | Partly supported | Function is constrained |
torch.isfinite | Supported | |
torch.isin | Supported | |
torch.isinf | Supported | |
torch.isposinf | Supported | |
torch.isneginf | Supported | |
torch.isnan | Supported | |
torch.isreal | Supported | |
torch.is_nonzero | Supported | |
torch.le | Supported | |
torch.less_equal | Supported | |
torch.lt | Supported | |
torch.less | Supported | |
torch.lu | Partly supported | Function is constrained |
torch.lu_solve | Partly supported | Function is constrained |
torch.lu_unpack | Partly supported | Currently not support on Ascend |
torch.maximum | Supported | |
torch.minimum | Supported | |
torch.ne | Supported | |
torch.sinc | Supported | |
torch.subtract | Supported | |
torch.topk | Supported | |
torch.true_divide | Supported | |
torch.atleast_1d | Supported | |
torch.atleast_2d | Supported | |
torch.atleast_3d | Supported | |
torch.block_diag | Supported | |
torch.broadcast_to | Supported | |
torch.cdist | Supported | |
torch.corrcoef | Supported | |
torch.cov | Supported | |
torch.cummin | Supported | |
torch.cumprod | Supported | |
torch.cumsum | Supported | |
torch.diag | Supported | |
torch.diagflat | Supported | |
torch.diagonal | Supported | |
torch.diff | Supported | |
torch.flatten | Supported | |
torch.flip | Supported | |
torch.flipud | Supported | |
torch.histc | Partly supported | Currently not support on GPU |
torch.meshgrid | Supported | |
torch.ravel | Supported | |
torch.not_equal | Supported | |
torch.trace | Supported | |
torch.tril | Supported | |
torch.triu | Supported | |
torch.sort | Partly supported | Function is constrained |
torch.msort | Supported | |
torch.addmv | Supported | |
torch.addr | Supported | |
torch.bincount | Supported | |
torch.bmm | Supported | |
torch.cholesky | Supported | |
torch.cholesky_inverse | Supported | |
torch.dot | Supported | |
torch.repeat_interleave | Partly Supported | Function is constrained |
torch.addbmm | Supported | |
torch.det | Supported | |
torch.addmm | Supported | |
torch.matmul | Partly supported | Function is constrained |
torch.mv | Supported | |
torch.orgqr | Supported | |
torch.outer | Supported | |
torch.vdot | Supported | |
torch._assert | Supported | |
torch.inner | Supported | |
torch.logdet | Supported | |
torch.lstsq | Partly supported | Function is constrained |
torch.mm | Supported | |
torch.cuda.is_available | Supported | |
torch.ByteTensor | Supported | |
torch.CharTensor | Supported | |
torch.IntTensor | Supported | |
torch.HalfTensor | Supported | |
torch.FloatTensor | Supported | |
torch.DoubleTensor | Supported | |
torch.ByteStorage | Supported | |
torch.as_strided | Supported | |
torch.view_as_real | Supported | |
torch.scatter | Unsupported | |
torch.manual_seed | Supported | |
torch.matrix_exp | Unspported | |
torch.bernoulli | Supported | |
torch.multinomial | Partly supported | Function is constrained |
torch.randint | Partly supported | Function is constrained |
torch.randperm | Partly supported | Function is constrained |
torch.digamma | Partly supported | Currently not support on Ascend |
torch.fft | Supported | |
torch.gradient | Supported | |
torch.imag | Partly supported | Function is constrained |
torch.logical_and | supported | |
torch.logical_xor | Supported | |
torch.igamma | Supported | |
torch.mvlgamma | Supported | |
torch.i0 | Partly supported | Function is constrained |
torch.real | Supported | |
torch.argmax | Supported | |
torch.argmin | Supported | |
torch.max | Partly supported | Function is constrained |
torch.mean | Supported | |
torch.median | Supported | |
torch.norm | Supported | |
torch.normal | Supported | |
torch.unique | Supported | |
torch.bartlett_window | Supported | |
torch.sum | Partly supported | Currently not support on GRAPH mode |
torch.hann_window | Supported | |
torch.argsort | Supported | |
torch.cross | Partly supported | Currently not support on GPU |
torch.cummax | Partly supported | Currently not support on Ascend |
torch.einsum | Partly supported | Only support on GPU |
torch.fliplr | Supported | |
torch.hamming_window | Supported | |
torch.svd | Partly supported | Function is constrained |
torch.searchsorted | Supported | |
torch.fmax | Partly supported | Only support on CPU |
torch.fmin | Partly supported | Function is constrained |
torch.inverse | Partly supported | Currently not support on Ascend |
torch.poisson | Partly supported | Currently not support on Ascend |
torch.polygamma | Partly supported | Currently not support on Ascend |
torch.matrix_power | Partly supported | Function is constrained |
torch.vander | Supported | |
torch.renorm | Supported | |
torch.conj | Partly supported | Currently not support on GRAPH mode |
torch.is_conj | Partly supported | Currently not support on GRAPH mode |
torch.resolve_conj | Partly supported | Currently not support on GRAPH mode |
torch.index_add | Partly supported | Function is constrained |
torch.scatter_reduce | Partly supported | Function is constrained |
torch.scatter_add | Supported | |
torch.index_copy | Supported | |
torch.histogramdd | Partly supported | Function is constrained |
torch.diag_embed | Supported | |
torch.resolve_neg | Partly supported | Currently not support on GRAPH mode |
torch.pinverse | Partly supported | Currently not support on Ascend |
torch.asarray | Partly supported | Function is constrained |
torch.symeig | Partly supported | Currently not support on Ascend |
torch.result_type | Supported | |
torch.logcumsumexp | Supported | |
torch.complex | Partly supported | Function is constrained |
torch.blackman_window | Supported | |
torch.kaiser_window | Supported | |
torch.bucketize | Supported | |
torch.cartesian_prod | Supported | |
torch.clone | Supported | |
torch.clone | combinations | |
torch.kron | Partly supported | Function is constrained |
torch.gcd | Supported | |
torch.histogram | Supported | |
torch.lcm | Supported | |
torch.tensordot | Supported | |
torch.tril_indices | Supported | |
torch.triu_indices | Supported | |
torch.geqrf | Partly Supported | Function is constrained |
torch.trapz | Supported | |
torch.trapezoid | Supported | |
torch.kthvalue | Supported | |
torch.slice_scatter | Supported | |
torch.select_scatter | Supported | |
torch.take_along_dim | Supported | |
torch.pad | Partly supported | 1.Currently not support on GRAPH mode. 2.Function is constrained |
torch.broadcast_shapes | Supported | |
torch.broadcast_tensors | Supported | |
torch.index_reduce | Partly supported | Function is constrained |
torch.chain_matmul | Supported | |
torch.view_as_complex | Partly Supported | Function is constrained |
torch.empty_strided | Supported | |
torch.cumulative_trapezoid | Supported |
MSAdapter APIs | Status | Restrictions |
---|---|---|
Tensor.mm | Supported | |
Tensor.msort | Supported | |
Tensor.abs | Supported | |
Tensor.absolute | Supported | |
Tensor.acos | Supported | |
Tensor.acosh | Supported | |
Tensor.new | Supported | |
Tensor.new_tensor | Supported | |
Tensor.new_full | Supported | |
Tensor.new_empty | Supported | |
Tensor.new_ones | Supported | |
Tensor.new_zeros | Supported | |
Tensor.is_cuda | Supported | |
Tensor.ndim | Supported | |
Tensor.add | Partly supported | Function is constrained |
Tensor.addbmm | Supported | |
Tensor.addcdiv | Supported | |
Tensor.addcmul | Supported | |
Tensor.addmm | Supported | |
Tensor.addmv | Supported | |
Tensor.addr | Supported | |
Tensor.all | Supported | |
Tensor.allclose | Partly supported | Function is constrained |
Tensor.amax | Supported | |
Tensor.amin | Supported | |
Tensor.aminmax | Supported | |
Tensor.any | Supported | |
Tensor.arccos | Supported | |
Tensor.arccosh | Supported | |
Tensor.arcsin | Supported | |
Tensor.arcsinh | Supported | |
Tensor.arctan | Supported | |
Tensor.arctan2 | Supported | |
Tensor.arctanh | Supported | |
Tensor.asin | Supported | |
Tensor.asinh | Supported | |
Tensor.atan | Supported | |
Tensor.atan2 | Supported | |
Tensor.atanh | Supported | |
Tensor.baddbmm | Supported | |
Tensor.bincount | Supported | |
Tensor.bitwise_and | Supported | |
Tensor.bitwise_left_shift | Supported | |
Tensor.bitwise_not | Supported | |
Tensor.bitwise_or | Supported | |
Tensor.bitwise_right_shift | Supported | |
Tensor.bitwise_xor | Supported | |
Tensor.bmm | Supported | |
Tensor.bool | Partly supported | Function is constrained |
Tensor.broadcast_to | Supported | |
Tensor.byte | Supported | |
Tensor.ceil | Supported | |
Tensor.char | Supported | |
Tensor.cholesky | Supported | |
Tensor.cholesky_inverse | Supported | |
Tensor.clamp | Supported | |
Tensor.clip | Supported | |
Tensor.clone | Supported | |
Tensor.conj | Partly supported | Currently not support on GRAPH mode |
Tensor.copysign | Supported | |
Tensor.cos | Supported | |
Tensor.cosh | Supported | |
Tensor.count_nonzero | Supported | |
Tensor.cpu | Supported | |
Tensor.cummax | Partly supported | Currently not support on Ascend |
Tensor.cummin | Supported | |
Tensor.cumprod | Supported | |
Tensor.cumsum | Supported | |
Tensor.data | Supported | |
Tensor.deg2rad | Supported | |
Tensor.detach | Supported | |
Tensor.diag | Supported | |
Tensor.diagflat | Supported | |
Tensor.diagonal | Supported | |
Tensor.diff | Supported | |
Tensor.dim | Supported | |
Tensor.dist | Supported | |
Tensor.divide | Supported | |
Tensor.dot | Supported | |
Tensor.double | Supported | |
Tensor.dsplit | Supported | |
Tensor.eig | Partly supported | Currently not support on GPU |
Tensor.eq | Supported | |
Tensor.equal | Supported | |
Tensor.erf | Supported | |
Tensor.erfc | Supported | |
Tensor.erfinv | Supported | |
Tensor.exp | Supported | |
Tensor.expand_as | Supported | |
Tensor.expm1 | Supported | |
Tensor.fix | Supported | |
Tensor.flatten | Supported | |
Tensor.flip | Supported | |
Tensor.flipud | Supported | |
Tensor.float_power | Supported | |
Tensor.floor | Supported | |
Tensor.fmod | Supported | |
Tensor.gather | Supported | |
Tensor.ge | Supported | |
Tensor.ger | Supported | |
Tensor.greater | Supported | |
Tensor.greater_equal | Supported | |
Tensor.gt | Supported | |
Tensor.half | Supported | |
Tensor.hardshrink | Supported | |
Tensor.heaviside | Supported | |
Tensor.hsplit | Supported | |
Tensor.hypot | Supported | |
Tensor.index_select | Supported | |
Tensor.int | Supported | |
Tensor.is_complex | Supported | |
Tensor.isclose | Partly supported | Function is constrained |
Tensor.isfinite | Supported | |
Tensor.isinf | Supported | |
Tensor.isnan | Supported | |
Tensor.isneginf | Supported | |
Tensor.isposinf | Supported | |
Tensor.isreal | Supported | |
Tensor.is_tensor | Supported | |
Tensor.item | Supported | |
Tensor.le | Supported | |
Tensor.less | Supported | |
Tensor.less_equal | Supported | |
Tensor.log | Supported | |
Tensor.log10 | Supported | |
Tensor.log1p | Supported | |
Tensor.log2 | Supported | |
Tensor.logaddexp | Supported | |
Tensor.logdet | Supported | |
Tensor.logical_not | Supported | |
Tensor.logical_or | Supported | |
Tensor.logical_xor | Supported | |
Tensor.logsumexp | Supported | |
Tensor.long | Supported | |
Tensor.lt | Supported | |
Tensor.lu | Partly supported | Currently not support on Ascend |
Tensor.lu_solve | Partly supported | Currently not support on Ascend |
Tensor.lstsq | Partly supported | Function is constrained |
Tensor.masked_fill | Supported | |
Tensor.matmul | Partly supported | Function is constrained |
Tensor.max | Supported | |
Tensor.maximum | Supported | |
Tensor.mean | Supported | |
Tensor.min | Supported | |
Tensor.fmax | Partly supported | Only support on CPU |
Tensor.fmin | Partly supported | Function is constrained |
Tensor.histc | Partly supported | Currently not support on GPU |
Tensor.minimum | Supported | |
Tensor.moveaxis | Supported | |
Tensor.movedim | Supported | |
Tensor.mul | Supported | |
Tensor.multiply | Supported | |
Tensor.mvlgamma | Supported | |
Tensor.nanmean | Supported | |
Tensor.nansum | Supported | |
Tensor.narrow | Supported | |
Tensor.ndimension | Supported | |
Tensor.ne | Supported | |
Tensor.neg | Partly supported | Function is constrained |
Tensor.negative | Supported | |
Tensor.nonzero | Supported | |
Tensor.not_equal | Supported | |
Tensor.numel | Supported | |
Tensor.numpy | Supported | |
Tensor.orgqr | Supported | |
Tensor.permute | Supported | |
Tensor.pow | Supported | |
Tensor.prod | Supported | |
Tensor.qr | Supported | |
Tensor.rad2deg | Supported | |
Tensor.ravel | Supported | |
Tensor.random_ | Partly supported | Not support the GRAPH mode |
Tensor.reciprocal | Supported | |
Tensor.remainder | Supported | |
Tensor.renorm | Supported | |
Tensor.repeat | Supported | |
Tensor.repeat_interleave | Partly Supported | Function is constrained |
Tensor.reshape | Supported | |
Tensor.reshape_as | Supported | |
Tensor.resize_as_ | Partly supported | Not support the GRAPH mode |
Tensor.round | Supported | |
Tensor.roll | Supported | |
Tensor.rot90 | Supported | |
Tensor.rsqrt_ | Partly supported | Not support the GRAPH mode |
Tensor.rsqrt | Supported | |
Tensor.select | Supported | |
Tensor.short | Supported | |
Tensor.sigmoid | Supported | |
Tensor.sign | Supported | |
Tensor.signbit | Supported | |
Tensor.sin | Supported | |
Tensor.sinc | Supported | |
Tensor.sinh | Supported | |
Tensor.size | Supported | |
Tensor.sort | Supported | |
Tensor.split | Supported | |
Tensor.sqrt | Supported | |
Tensor.square | Supported | |
Tensor.squeeze | Supported | |
Tensor.stride | Supported | |
Tensor.sub | Supported | |
Tensor.subtract | Supported | |
Tensor.sum | Supported | |
Tensor.swapaxes | Supported | |
Tensor.swapdims | Supported | |
Tensor.T | Supported | |
Tensor.t | Supported | |
Tensor.H | Supported | |
Tensor.take | Supported | |
Tensor.tan | Supported | |
Tensor.tanh | Supported | |
Tensor.tensor_split | Supported | |
Tensor.tile | Supported | |
Tensor.tolist | Supported | |
Tensor.topk | Supported | |
Tensor.trace | Supported | |
Tensor.transpose | Supported | |
Tensor.tril | Supported | |
Tensor.tril_ | Partly supported | Not support the GRAPH mode |
Tensor.triu | Supported | |
Tensor.triu_ | Partly supported | Not support the GRAPH mode |
Tensor.true_divide | Supported | |
Tensor.true_divide_ | Partly supported | Not support the GRAPH mode |
Tensor.trunc | Supported | |
Tensor.type | Supported | |
Tensor.type_as | Supported | |
Tensor.unbind | Supported | |
Tensor.uniform_ | Partly supported | Not support the GRAPH mode |
Tensor.unique_consecutive | Supported | |
Tensor.unsqueeze | Supported | |
Tensor.var | Supported | |
Tensor.vdot | Supported | |
Tensor.view_as | Supported | |
Tensor.vsplit | Supported | |
Tensor.xlogy_ | Partly supported | Not support the GRAPH mode |
Tensor.argmin | Supported | |
Tensor.argsort | Supported | |
Tensor.as_strided | Supported | |
Tensor.bernoulli | Supported | |
Tensor.bernoulli_ | Partly supported | Not support the GRAPH mode |
Tensor.cauchy_ | Partly supported | Currently not support on GPU and GRAPH mode |
Tensor.chunk | Supported | |
Tensor.contiguous | Supported | |
Tensor.cross | Partly supported | Currently not support on GPU |
Tensor.cuda | Supported | |
Tensor.det | Supported | |
Tensor.digamma | Partly supported | Currently not support on Ascend |
Tensor.div | Supported | |
Tensor.expand | Partly supported | Function is constrained |
Tensor.fliplr | Partly supported | Currently not support on Ascend |
Tensor.float | Partly supported | Function is constrained |
Tensor.index_fill | Supported | |
Tensor.inverse | Partly supported | Currently not support on Ascend |
Tensor.is_floating_point | Supported | |
Tensor.norm | Supported | |
Tensor.real | Supported | |
Tensor.scatter_ | Partly supported | Not support the GRAPH mode |
Tensor.scatter | Partly supported | Function is constrained |
Tensor.std | Partly supported | Function is constrained |
Tensor.svd | Partly supported | Function is constrained |
Tensor.to | Supported | |
Tensor.unique | Supported | |
Tensor.view | Supported | |
Tensor.where | Supported | |
Tensor.xlogy | Partly supported | Function is constrained |
Tensor.abs_ | Partly supported | Not support the GRAPH mode |
Tensor.absolute_ | Partly supported | Not support the GRAPH mode |
Tensor.acos_ | Partly supported | Not support the GRAPH mode |
Tensor.arccos_ | Partly supported | Not support the GRAPH mode |
Tensor.add_ | Partly supported | Not support the GRAPH mode |
Tensor.addbmm_ | Partly supported | Not support the GRAPH mode |
Tensor.addcdiv_ | Partly supported | Not support the GRAPH mode |
Tensor.addcmul_ | Partly supported | Not support the GRAPH mode |
Tensor.addmm_ | Partly supported | Not support the GRAPH mode |
Tensor.addmv_ | Partly supported | Not support the GRAPH mode |
Tensor.addr_ | Partly supported | Not support the GRAPH mode |
Tensor.asin_ | Partly supported | Not support the GRAPH mode |
Tensor.arcsin_ | Partly supported | Not support the GRAPH mode |
Tensor.atan_ | Partly supported | Not support the GRAPH mode |
Tensor.arctan_ | Partly supported | Not support the GRAPH mode |
Tensor.atan2_ | Partly supported | Not support the GRAPH mode |
Tensor.arctan2_ | Partly supported | Not support the GRAPH mode |
Tensor.baddbmm_ | Partly supported | Not support the GRAPH mode |
Tensor.bitwise_not_ | Partly supported | Not support the GRAPH mode |
Tensor.bitwise_and_ | Partly supported | Not support the GRAPH mode |
Tensor.bitwise_or_ | Partly supported | Not support the GRAPH mode |
Tensor.bitwise_xor_ | Partly supported | Not support the GRAPH mode |
Tensor.clamp_ | Partly supported | Not support the GRAPH mode |
Tensor.clip_ | Partly supported | Not support the GRAPH mode |
Tensor.copy_ | Partly supported | Not support the GRAPH mode |
Tensor.copysign_ | Partly supported | Not support the GRAPH mode |
Tensor.acosh_ | Partly supported | Not support the GRAPH mode |
Tensor.arccosh_ | Partly supported | Not support the GRAPH mode |
Tensor.cumprod_ | Partly supported | Not support the GRAPH mode |
Tensor.div_ | Partly supported | Not support the GRAPH mode |
Tensor.divide_ | Partly supported | Not support the GRAPH mode |
Tensor.eq_ | Partly supported | Not support the GRAPH mode |
Tensor.expm1_ | Partly supported | Not support the GRAPH mode |
Tensor.fix_ | Partly supported | Not support the GRAPH mode |
Tensor.fill_ | Partly supported | Not support the GRAPH mode |
Tensor.float_power_ | Partly supported | Not support the GRAPH mode |
Tensor.floor_ | Partly supported | Not support the GRAPH mode |
Tensor.fmod_ | Partly supported | Not support the GRAPH mode |
Tensor.ge_ | Partly supported | Not support the GRAPH mode |
Tensor.greater_equal_ | Partly supported | Not support the GRAPH mode |
Tensor.gt_ | Partly supported | Not support the GRAPH mode |
Tensor.greater_ | Partly supported | Not support the GRAPH mode |
Tensor.hypot_ | Partly supported | Not support the GRAPH mode |
Tensor.le_ | Partly supported | Not support the GRAPH mode |
Tensor.less_equal_ | Partly supported | Not support the GRAPH mode |
Tensor.lgamma_ | Partly supported | Not support the GRAPH mode, not support on Ascend |
Tensor.logical_xor_ | Partly supported | Not support the GRAPH mode |
Tensor.lt_ | Partly supported | Not support the GRAPH mode |
Tensor.less_ | Partly supported | Not support the GRAPH mode |
Tensor.mul_ | Partly supported | Not support the GRAPH mode |
Tensor.multiply_ | Partly supported | Not support the GRAPH mode |
Tensor.mvlgamma_ | Partly supported | Not support the GRAPH mode |
Tensor.ne_ | Partly supported | Not support the GRAPH mode |
Tensor.not_equal_ | Partly supported | Not support the GRAPH mode |
Tensor.neg_ | Partly supported | Not support the GRAPH mode |
Tensor.negative_ | Partly supported | Not support the GRAPH mode |
Tensor.pow_ | Partly supported | Not support the GRAPH mode |
Tensor.reciprocal_ | Partly supported | Not support the GRAPH mode |
Tensor.renorm_ | Partly supported | Not support the GRAPH mode |
Tensor.resize_ | Partly supported | Not support the GRAPH mode |
Tensor.round_ | Partly supported | Not support the GRAPH mode |
Tensor.sigmoid_ | Partly supported | Not support the GRAPH mode |
Tensor.sign_ | Partly supported | Not support the GRAPH mode |
Tensor.sin_ | Partly supported | Not support the GRAPH mode |
Tensor.sinc_ | Partly supported | Not support the GRAPH mode |
Tensor.sinh_ | Partly supported | Not support the GRAPH mode |
Tensor.asinh_ | Partly supported | Not support the GRAPH mode |
Tensor.square_ | Partly supported | Not support the GRAPH mode |
Tensor.sqrt_ | Partly supported | Not support the GRAPH mode |
Tensor.squeeze_ | Partly supported | Not support the GRAPH mode |
Tensor.sub_ | Partly supported | Not support the GRAPH mode |
Tensor.tan_ | Partly supported | Not support the GRAPH mode |
Tensor.tanh_ | Partly supported | Not support the GRAPH mode |
Tensor.atanh_ | Partly supported | Not support the GRAPH mode |
Tensor.arctanh_ | Partly supported | Not support the GRAPH mode |
Tensor.transpose_ | Partly supported | Not support the GRAPH mode |
Tensor.trunc_ | Partly supported | Not support the GRAPH mode |
Tensor.unsqueeze_ | Partly supported | Not support the GRAPH mode |
Tensor.zero_ | Partly supported | Not support the GRAPH mode |
Tensor.is_conj | Partly supported | Currently not support on GRAPH mode |
Tensor.resolve_conj | Partly supported | Currently not support on GRAPH mode |
Tensor.i0 | Partly supported | Function is constrained |
Tensor.nextafter | Partly supported | Input type is constrained |
Tensor.logit | Supported | |
Tensor.matrix_power | Partly supported | Function is constrained |
Tensor.index_fill_ | Partly supported | Currently not support on GRAPH mode |
Tensor.index_add | Partly supported | Function is constrained |
Tensor.index_add_ | Partly supported | Currently not support on GRAPH mode |
Tensor.scatter_add | Supported | |
Tensor.scatter_add_ | Partly supported | Currently not support on GRAPH mode |
Tensor.index_copy | Supported | |
Tensor.index_copy_ | Partly supported | Currently not support on GRAPH mode |
Tensor.diag_embed | Supported | |
Tensor.resolve_neg | Partly supported | Currently not support on GRAPH mode |
Tensor.i0_ | Partly supported | Currently not support on GRAPH mode |
Tensor.logit_ | Partly supported | Currently not support on GRAPH mode |
Tensor.pinverse | Partly supported | Currently not support on Ascend |
Tensor.symeig | Partly supported | Currently not support on Ascend |
Tensor.put_ | Partly supported | Currently not support on GRAPH mode |
Tensor.index_put | Supported | |
Tensor.index_put_ | Partly supported | Currently not support on GRAPH mode |
Tensor.nan_to_num | Partly supported | Input type is constrained |
Tensor.nan_to_num_ | Partly supported | Currently not support on GRAPH mode |
Tensor.logcumsumexp | Supported | |
Tensor.nextafter_ | Partly supported | Input type is constrained |
Tensor.lgamma | Partly supported | Currently not support on Ascend |
Tensor.log2_ | Partly supported | Currently not support on GRAPH mode |
Tensor.logaddexp2 | Supported | |
Tensor.logical_and | Supported | |
Tensor.logical_and_ | Partly supported | Currently not support on GRAPH mode |
Tensor.logical_not_ | Partly supported | Currently not support on GRAPH mode |
Tensor.logical_or_ | Partly supported | Currently not support on GRAPH mode |
Tensor.igamma | Supported | |
Tensor.igamma_ | Partly supported | Currently not support on GRAPH mode |
Tensor.igammac | Supported | |
Tensor.igammac_ | Partly supported | Currently not support on GRAPH mode |
Tensor.positive | Supported | |
Tensor.remainder_ | Partly supported | Currently not support on GRAPH mode |
Tensor.sgn | Supported | |
Tensor.sgn_ | Partly supported | Currently not support on GRAPH mode |
Tensor.subtract_ | Partly supported | Currently not support on GRAPH mode |
Tensor.argmax | Supported | |
Tensor.gcd | Supported | |
Tensor.histogram | Supported | |
Tensor.lcm | Supported | |
Tensor.geqrf | Partly Supported | Function is constrained |
Tensor.inner | Supported | |
Tensor.kthvalue | Supported | |
Tensor.adjoint | Supported | |
Tensor.angle | Supported | |
Tensor.argwhere | Supported | |
Tensor.cov | Supported | |
Tensor.element_size | Supported | |
Tensor.is_signed | Supported | |
Tensor.masked_select | Supported | |
Tensor.median | Supported | |
Tensor.mv | Supported | |
Tensor.multinomial | Supported | |
Tensor.nelement | Supported | |
Tensor.outer | Supported | |
Tensor.slice_scatter | Supported | |
Tensor.select_scatter | Supported | |
Tensor.slogdet | Supported | |
Tensor.sum_to_size | Supported | |
Tensor.take_along_dim | Supported | |
Tensor.unflatten | Supported | |
Tensor.unfold | Supported | |
Tensor.conj_physical | Supported | |
Tensor.conj_physical_ | Partly supported | Currently not support on GRAPH mode |
Tensor.arcsinh_ | Partly supported | Currently not support on GRAPH mode |
Tensor.bitwise_right_shift_ | Partly supported | Currently not support on GRAPH mode |
Tensor.ceil_ | Partly supported | Currently not support on GRAPH mode |
Tensor.cos_ | Partly supported | Currently not support on GRAPH mode |
Tensor.cosh_ | Partly supported | Currently not support on GRAPH mode |
Tensor.cumsum_ | Partly supported | Currently not support on GRAPH mode |
Tensor.digamma_ | Partly supported | Currently not support on GRAPH mode, not support on Ascend |
Tensor.erf_ | Partly supported | Currently not support on GRAPH mode |
Tensor.erfc_ | Partly supported | Currently not support on GRAPH mode |
Tensor.erfinv_ | Partly supported | Currently not support on GRAPH mode |
Tensor.exp_ | Partly supported | Currently not support on GRAPH mode |
Tensor.fill_diagonal_ | Partly supported | Currently not support on GRAPH mode |
Tensor.floor_divide | Supported | |
Tensor.floor_divide_ | Partly supported | Currently not support on GRAPH mode |
Tensor.frac | Supported | |
Tensor.frac_ | Partly supported | Currently not support on GRAPH mode |
Tensor.gcd_ | Partly supported | Currently not support on GRAPH mode |
Tensor.lcm_ | Partly supported | Currently not support on GRAPH mode |
Tensor.imag | Partly supported | Function is constrained |
Tensor.ldexp | Supported | |
Tensor.ldexp_ | Partly supported | Currently not support on GRAPH mode |
Tensor.log_ | Partly supported | Currently not support on GRAPH mode |
Tensor.log10_ | Partly supported | Currently not support on GRAPH mode |
Tensor.log1p_ | Partly supported | Currently not support on GRAPH mode |
Tensor.masked_fill_ | Partly supported | Currently not support on GRAPH mode |
Tensor.normal_ | Partly supported | Currently not support on GRAPH mode |
Tensor.scatter_reduce | Partly supported | Function is constrained |
Tensor.scatter_reduce_ | Partly supported | Function is constrained |
Tensor.exponential_ | Partly supported | Currently not support on GRAPH mode |
Tensor.index_reduce | Partly supported | Function is constrained |
Tensor.index_reduce_ | Partly supported | Function is constrained |
Tensor.masked_scatter | Partly supported | Function is constrained |
Tensor.masked_scatter_ | Partly supported | Currently not support on GRAPH mode or on GPU |
MSAdapter APIs | Status | Restrictions |
---|---|---|
nn.ModuleDict | Supported | |
nn.ParameterList | Supported | |
nn.ParameterDict | Supported | |
nn.Unfold | Supported | |
nn.Fold | Supported | |
nn.MaxPool1d | Partly supported | Currently not support on Ascend |
nn.MaxPool2d | Supported | |
nn.MaxPool3d | Supported | |
nn.AvgPool1d | supported | |
nn.AvgPool2d | supported | |
nn.AvgPool3d | supported | |
nn.FractionalMaxPool2d | Supported | |
nn.FractionalMaxPool3d | Supported | |
nn.LPPool1d | Partly supported | Function is constrained |
nn.LPPool2d | Partly supported | Function is constrained |
nn.AdaptiveMaxPool1d | Supported | |
nn.AdaptiveMaxPool2d | Supported | |
nn.AdaptiveMaxPool3d | Partly supported | Function is constrained |
nn.AdaptiveAvgPool1d | Partly supported | Function is constrained |
nn.AdaptiveAvgPool2d | Partly supported | Function is constrained |
nn.AdaptiveAvgPool3d | Partly supported | Function is constrained |
nn.ReflectionPad1d | Supported | |
nn.ReflectionPad2d | Partly supported | Function is constrained |
nn.ReflectionPad3d | Supported | |
nn.ReplicationPad1d | Supported | |
nn.ReplicationPad2d | Partly supported | Function is constrained |
nn.ReplicationPad3d | Supported | |
nn.ZeroPad2d | Supported | |
nn.ConstantPad1d | Supported | |
nn.ConstantPad2d | Supported | |
nn.ConstantPad3d | Supported | |
nn.ELU | Partly supported | Function is constrained |
nn.Hardshrink | Partly supported | Function is constrained |
nn.Hardsigmoid | Supported | |
nn.Hardtanh | Partly supported | Function is constrained |
nn.Hardswish | Partly supported | Function is constrained |
nn.LeakyReLU | Partly supported | Function is constrained |
nn.LogSigmoid | Supported | |
nn.PReLU | Partly supported | Function is constrained |
nn.ReLU | Supported | |
nn.ReLU6 | Partly supported | Function is constrained |
nn.RReLU | Partly supported | inplace not support on GRAPH mode |
nn.SELU | Partly supported | inplace not support on GRAPH mode |
nn.CELU | Partly supported | inplace not support on GRAPH mode |
nn.GELU | Supported | |
nn.Sigmoid | Supported | |
nn.SiLU | Supported | |
nn.Mish | Partly supported | inplace not support on GRAPH mode |
nn.Softplus | Supported | |
nn.Softshrink | Supported | |
nn.Softsign | Supported | |
nn.Tanh | Supported | |
nn.Tanhshrink | Supported | |
nn.Threshold | Partly supported | inplace not support on GRAPH mode |
nn.GLU | Supported | |
nn.Softmin | Supported | |
nn.Softmax | Supported | |
nn.Softmax2d | Supported | |
nn.LogSoftmax | Partly supported | Function is constrained |
nn.BatchNorm1d | Partly supported | Function is constrained |
nn.BatchNorm2d | Supported | |
nn.BatchNorm3d | Supported | |
nn.LazyBatchNorm1d | Supported | |
nn.LazyBatchNorm2d | Supported | |
nn.LazyBatchNorm3d | Supported | |
nn.GroupNorm | Supported | |
nn.LayerNorm | Supported | |
nn.LocalResponseNorm | Supported | |
nn.RNNBase | Supported | |
nn.RNN | Supported | |
nn.RNNCell | Supported | |
nn.LSTMCell | Supported | |
nn.GRUCell | Supported | |
nn.Identity | Supported | |
nn.Linear | Partly supported | Function is constrained |
nn.Bilinear | Supported | |
nn.LazyLinear | Supported | |
nn.Dropout | Supported | |
nn.Dropout1d | Supported | |
nn.Dropout2d | Supported | |
nn.Dropout3d | Supported | |
nn.AlphaDropout | Supported | |
nn.FeatureAlphaDropout | Supported | |
nn.CosineSimilarity | Supported | |
nn.PairwiseDistance | Supported | |
nn.L1Loss | Supported | |
nn.MSELoss | Supported | |
nn.CrossEntropyLoss | Supported | |
nn.CTCLoss | Supported | |
nn.NLLLoss | Supported | |
nn.PoissonNLLLoss | Supported | |
nn.GaussianNLLLoss | Supported | |
nn.BCELoss | Supported | |
nn.BCEWithLogitsLoss | Supported | |
nn.MarginRankingLoss | Supported | |
nn.HingeEmbeddingLoss | Partly supported | Function is constrained |
nn.HuberLoss | Supported | |
nn.SmoothL1Loss | Supported | |
nn.SoftMarginLoss | Partly supported | Currently not support on CPU |
nn.MultiLabelSoftMarginLoss | Supported | |
nn.CosineEmbeddingLoss | Supported | |
nn.TripletMarginWithDistanceLoss | Supported | |
nn.PixelShuffle | Supported | |
nn.PixelUnshuffle | Supported | |
nn.Upsample | Supported | |
nn.UpsamplingNearest2d | Partly supported | Function is constrained |
nn.UpsamplingBilinear2d | Supported | |
nn.ChannelShuffle | Supported | |
nn.Flatten | Supported | |
nn.Unflatten | Supported | |
nn.Module | Supported | |
nn.Sequential | Supported | |
nn.ModuleList | Supported | |
nn.Conv1d | Partly supported | Function is constrained |
nn.Conv2d | supported | |
nn.Conv3d | Partly supported | Function is constrained |
nn.ConvTranspose1d | Partly supported | Function is constrained |
nn.ConvTranspose2d | Partly supported | Function is constrained |
nn.ConvTranspose3d | Partly supported | Function is constrained |
nn.LazyConv1d | Partly supported | padding mode is not fully supported |
nn.LazyConv2d | Partly supported | padding mode is not fully supported |
nn.LazyConv3d | Partly supported | padding mode is not fully supported |
nn.LazyConvTranspose1d | Partly supported | padding mode is not fully supported |
nn.LazyConvTranspose2d | Partly supported | padding mode is not fully supported |
nn.LazyConvTranspose3d | Partly supported | padding mode is not fully supported |
nn.MaxUnpool1d | Partly supported | Currently not support on Ascend |
nn.MaxUnpool2d | Partly supported | Currently not support on Ascend |
nn.MaxUnpool3d | Partly supported | Currently not support on Ascend |
nn.MultiheadAttention | Supported | |
nn.AdaptiveLogSoftmaxWithLoss | Partly supported | Currently not support on GRAPH mode |
nn.SyncBatchNorm | Partly supported | Only support on Ascend |
nn.InstanceNorm1d | Partly supported | Only support on GPU |
nn.InstanceNorm2d | Partly supported | Only support on GPU |
nn.InstanceNorm3d | Partly supported | Only support on GPU |
nn.LazyInstanceNorm1d | Partly supported | Only support on GPU |
nn.LazyInstanceNorm2d | Partly supported | Only support on GPU |
nn.LazyInstanceNorm3d | Partly supported | Only support on GPU |
nn.LSTM | Partly supported | Function is constrained |
nn.GRU | Supported | |
nn.Embedding | Supported | |
nn.KLDivLoss | Partly supported | Function is constrained |
nn.MultiLabelMarginLoss | Partly supported | Currently not support on CPU |
nn.MultiMarginLoss | Supported | |
nn.Module.named_module | Supported | |
nn.TripletMarginLoss | Partly supported | Currently only support on GPU |
nn.Transformer | Supported | |
nn.TransformerEncoder | Supported | |
nn.TransformerDecoder | Supported | |
nn.TransformerEncoderLayer | Supported | |
nn.TransformerDecoderLayer | Supported | |
nn.utils.rnn.pad_sequence | Supported | |
nn.utils.rnn.pack_padded_sequence | Supported | |
nn.utils.rnn.PackedSequence | Supported | |
nn.utils.rnn.pad_packed_sequence | Supported | |
nn.utils.rnn.pack_sequence | Supported |
MSAdapter APIs | Status | Restrictions |
---|---|---|
functional.max_pool2d | Supported | |
functional.max_pool3d | Supported | |
functional.conv_transpose2d | Supported | |
functional.conv_transpose3d | Supported | |
functional.avg_pool2d | Supported | |
functional.avg_pool3d | Supported | |
functional.max_pool1d | Supported | |
functional.max_unpool1d | Supported | |
functional.max_unpool2d | Supported | |
functional.max_unpool3d | Supported | |
functional.lp_pool1d | Partly supported | Function is constrained |
functional.lp_pool2d | Partly supported | Function is constrained |
functional.adaptive_max_pool1d | Supported | |
functional.adaptive_max_pool2d | Supported | |
functional.adaptive_avg_pool1d | Supported | |
functional.fractional_max_pool2d | Supported | |
functional.fractional_max_pool3d | Supported | |
functional.threshold | Supported | |
functional.threshold_ | Supported | |
functional.relu | Supported | |
functional.relu_ | Supported | |
functional.hardtanh | Supported | |
functional.hardtanh_ | Supported | |
functional.hardswish | Supported | |
functional.relu6 | Supported | |
functional.elu | Supported | |
functional.elu_ | Supported | |
functional.selu | Supported | |
functional.celu | Supported | |
functional.leaky_relu | Supported | |
functional.leaky_relu_ | Supported | |
functional.prelu | Partly supported | inplace not support on GRAPH mode |
functional.rrelu | Partly supported | inplace not support on GRAPH mode |
functional.rrelu_ | Supported | |
functional.glu | Supported | |
functional.gelu | Supported | |
functional.logsigmoid | Supported | |
functional.hardshrink | Supported | |
functional.tanhshrink | Supported | |
functional.softsign | Supported | |
functional.softplus | Supported | |
functional.softmin | Supported | |
functional.softmax | Partly supported | Function is constrained |
functional.softshrink | Supported | |
functional.gumbel_softmax | Supported | |
functional.log_softmax | Partly supported | Function is constrained |
functional.tanh | Supported | |
functional.sigmoid | Supported | |
functional.hardsigmoid | Supported | |
functional.silu | Supported | |
functional.mish | Supported | |
functional.batch_norm | Supported | |
functional.group_norm | Supported | |
functional.instance_norm | Supported | |
functional.layer_norm | Supported | |
functional.local_response_norm | Supported | |
functional.normalize | Supported | |
functional.linear | Supported | |
functional.bilinear | Supported | |
functional.dropout | Supported | |
functional.alpha_dropout | Supported | |
functional.feature_alpha_dropout | Supported | |
functional.dropout1d | Partly supported | inplace not support on GRAPH mode |
functional.dropout2d | Partly supported | inplace not support on GRAPH mode |
functional.dropout3d | Partly supported | inplace not support on GRAPH mode |
functional.one_hot | Supported | |
functional.pairwise_distance | Supported | |
functional.cosine_similarity | Supported | |
functional.pdist | Supported | |
functional.binary_cross_entropy | Supported | |
functional.binary_cross_entropy_with_logits | Supported | |
functional.poisson_nll_loss | Supported | |
functional.cosine_embedding_loss | Supported | |
functional.cross_entropy | Supported | |
functional.gaussian_nll_loss | Supported | |
functional.hinge_embedding_loss | Supported | |
functional.l1_loss | Supported | |
functional.mse_loss | Supported | |
functional.margin_ranking_loss | Supported | |
functional.multilabel_soft_margin_loss | Supported | |
functional.nll_loss | Supported | |
functional.smooth_l1_loss | Supported | |
functional.soft_margin_loss | Partly supported | Currently not support on CPU |
functional.triplet_margin_loss | Partly supported | Currently only support on GPU |
functional.triplet_margin_with_distance_loss | Supported | |
functional.pixel_shuffle | Supported | |
functional.pixel_unshuffle | Supported | |
functional.grid_sample | Supported | |
functional.huber_loss | Supported | |
functional.conv1d | Supported | |
functional.conv2d | Supported | |
functional.conv3d | Partly supported | Function is constrained |
functional.conv_transpose1d | Supported | |
functional.unfold | Supported | |
functional.fold | Supported | |
functional.adaptive_max_pool3d | Partly supported | Currently not support on Ascend |
functional.adaptive_avg_pool2d | Supported | |
functional.adaptive_avg_pool3d | Supported | |
functional.embedding | Supported | |
functional.ctc_loss | Supported | |
functional.kl_div | Partly supported | Function is constrained |
functional.multilabel_margin_loss | Partly supported | Currently not support on CPU |
functional.multi_margin_loss | Supported | |
functional.interpolate | Partly supported | Function is constrained |
functional.upsample | Supported | |
functional.upsample_nearest | Supported | |
functional.upsample_bilinear | Partly supported | Function is constrained |
functional.affine_grid | Supported | |
functional.avg_pool1d | Supported |
MSAdapter APIs | Status | Restrictions |
---|---|---|
norm | Partly supported | Function is constrained |
vector_norm | Partly supported | Function is constrained |
matrix_norm | Unsupported | |
diagonal | Supported | |
det | Supported | |
slogdet | Supported | |
cond | Unsupported | |
matrix_rank | Unsupported | |
cholesky | Unsupported | |
qr | Unsupported | |
lu | Partly supported | Currently not support on Ascend |
lu_factor | Partly supported | Currently not support on Ascend |
lu_factor_ex | Partly supported | Function is constrained |
lu_solve | Partly supported | Function is constrained |
eig | Partly supported | Currently not support on GPU |
eigvals | Partly supported | Function is constrained |
eigh | Supported | |
eigvalsh | Partly supported | Currently not support on Ascend |
svd | Partly supported | Function is constrained |
svdvals | Partly supported | Function is constrained |
solve | Supported | |
solve_triangular | Unsupported | |
lu_solve | Unsupported | |
lstsq | Partly supported | Function is constrained |
inv | Partly supported | Function is constrained |
pinv | Unsupported | Currently not support on Ascend |
qr | Supported | |
matrix_exp | Unsupported | |
matrix_power | Partly supported | Function is constrained |
cross | Unsupported | |
matmul | Partly supported | Function is constrained |
vecdot | Unsupported | |
multi_dot | Supported | |
householder_product | Supported | |
tensorinv | Unsupported | |
tensorsolve | Unsupported | |
vander | Supported | |
cholesky_ex | Unsupported | |
inv_ex | Unsupported | |
solve_ex | Unsupported | |
lu_factor_ex | Unsupported | |
ldl_factor | Unsupported | |
ldl_factor_ex | Unsupported | |
ldl_solve | Unsupported | |
eigh | Supported | |
solve | Supported |
MSAdapter APIs | Status | Restrictions |
---|---|---|
Optimizer | Unsupported | Please use mindspore.nn.Optimizer instead |
Adadelta | Unsupported | Please use mindspore.nn.Adadelta instead |
Adagrad | Unsupported | Please use mindspore.nn.Adagrad instead |
Adam | Unsupported | Please use mindspore.nn.Adam instead |
AdamW | Unsupported | Please use mindspore.nn.AdamWeightDecay instead |
SparseAdam | Unsupported | |
Adamax | Unsupported | Please use mindspore.nn.AdaMax instead |
ASGD | Unsupported | Please use mindspore.nn.ASGD instead |
LBFGS | Unsupported | |
NAdam | Unsupported | |
RAdam | Unsupported | |
RMSprop | Unsupported | Please use mindspore.nn.RMSprop instead |
Rprop | Unsupported | Please use mindspore.nn.Rprop instead |
SGD | Unsupported | Please use mindspore.nn.SGD instead |
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》