torch_objects.md

Torch objects used in learnpytorch.io website

name	type
torch.Tensor	<class 'torch._C._TensorMeta'>
torch.e	<class 'float'>
torch.t	<class 'builtin_function_or_method'>
torch.torch	<class 'module'>
torch.eig	<class 'function'>
torch.ne	<class 'builtin_function_or_method'>
torch.nn	<class 'module'>
torch.tensor	<class 'builtin_function_or_method'>
torch.Size	<class 'type'>
torch.gt	<class 'builtin_function_or_method'>
torch.rand	<class 'builtin_function_or_method'>
torch.random	<class 'module'>
torch.os	<class 'module'>
torch.zeros	<class 'builtin_function_or_method'>
torch.ones	<class 'builtin_function_or_method'>
torch.arange	<class 'builtin_function_or_method'>
torch.ge	<class 'builtin_function_or_method'>
torch.range	<class 'builtin_function_or_method'>
torch.put	<class 'builtin_function_or_method'>
torch.zeros_like	<class 'builtin_function_or_method'>
torch.ones_like	<class 'builtin_function_or_method'>
torch.cuda	<class 'module'>
torch.float	<class 'torch.dtype'>
torch.float32	<class 'torch.dtype'>
torch.float16	<class 'torch.dtype'>
torch.half	<class 'torch.dtype'>
torch.float64	<class 'torch.dtype'>
torch.double	<class 'torch.dtype'>
torch.le	<class 'builtin_function_or_method'>
torch.dtype	<class 'type'>
torch.device	<class 'type'>
torch.mul	<class 'builtin_function_or_method'>
torch.add	<class 'builtin_function_or_method'>
torch.matmul	<class 'builtin_function_or_method'>
torch.transpose	<class 'builtin_function_or_method'>
torch.mm	<class 'builtin_function_or_method'>
torch.mean	<class 'builtin_function_or_method'>
torch.argmax	<class 'builtin_function_or_method'>
torch.max	<class 'builtin_function_or_method'>
torch.argmin	<class 'builtin_function_or_method'>
torch.min	<class 'builtin_function_or_method'>
torch.int	<class 'torch.dtype'>
torch.int8	<class 'torch.dtype'>
torch.reshape	<class 'builtin_function_or_method'>
torch.stack	<class 'builtin_function_or_method'>
torch.squeeze	<class 'builtin_function_or_method'>
torch.unsqueeze	<class 'builtin_function_or_method'>
torch.permute	<class 'builtin_function_or_method'>
torch.from_numpy	<class 'builtin_function_or_method'>
torch._tensor	<class 'module'>
torch.manual_seed	<class 'function'>
torch.seed	<class 'function'>
torch.all	<class 'builtin_function_or_method'>
torch.cat	<class 'builtin_function_or_method'>
torch.Type	<class 'pybind11_builtins.pybind11_type'>
torch.erf	<class 'builtin_function_or_method'>
torch.lt	<class 'builtin_function_or_method'>
torch.name	<class 'str'>
torch.tile	<class 'builtin_function_or_method'>
torch.cpu	<class 'module'>
torch.optim	<class 'module'>
torch.utils	<class 'module'>
torch.eq	<class 'builtin_function_or_method'>
torch.mode	<class 'builtin_function_or_method'>
torch.randn	<class 'builtin_function_or_method'>
torch.inf	<class 'float'>
torch.inference_mode	<class 'type'>
torch.no_grad	<class 'type'>
torch.zero_	<class 'builtin_function_or_method'>
torch.save	<class 'function'>
torch.pi	<class 'float'>
torch.load	<class 'function'>
torch.obj	<class 'builtin_function_or_method'>
torch.sin	<class 'builtin_function_or_method'>
torch.sigmoid	<class 'builtin_function_or_method'>
torch.softmax	<class 'builtin_function_or_method'>
torch.split	<class 'function'>
torch.exp	<class 'builtin_function_or_method'>
torch._C	<class 'module'>
torch.log	<class 'builtin_function_or_method'>
torch.logit	<class 'builtin_function_or_method'>
torch.classes	<class 'torch._classes._Classes'>
torch.addmm	<class 'builtin_function_or_method'>
torch.lu	<class 'function'>
torch.imag	<class 'builtin_function_or_method'>
torch.amp	<class 'module'>
torch._classes	<class 'module'>
torch.isclose	<class 'builtin_function_or_method'>
torch.testing	<class 'module'>
torch.sum	<class 'builtin_function_or_method'>
torch.uint8	<class 'torch.dtype'>
torch.ByteTensor	<class 'torch.tensortype'>
torch.FloatTensor	<class 'torch.tensortype'>
torch.conv2d	<class 'builtin_function_or_method'>
torch.Set	<class 'typing._SpecialGenericAlias'>
torch.hub	<class 'module'>
torch.Use	<class 'pybind11_builtins.pybind11_type'>
torch.functional	<class 'module'>
torch.ger	<class 'builtin_function_or_method'>
torch.tan	<class 'builtin_function_or_method'>
torch.any	<class 'builtin_function_or_method'>
torch.cross	<class 'builtin_function_or_method'>
torch.empty	<class 'builtin_function_or_method'>
torch.fill	<class 'builtin_function_or_method'>
torch.var	<class 'builtin_function_or_method'>
torch.std	<class 'builtin_function_or_method'>
torch.norm	<class 'function'>
torch.normal	<class 'builtin_function_or_method'>
torch.sinc	<class 'builtin_function_or_method'>
torch.Argument	<class 'pybind11_builtins.pybind11_type'>
torch.log_	<class 'builtin_function_or_method'>
torch.flatten	<class 'builtin_function_or_method'>
torch.embedding	<class 'builtin_function_or_method'>
torch.dropout	<class 'builtin_function_or_method'>
torch.Block	<class 'pybind11_builtins.pybind11_type'>
torch.numel	<class 'builtin_function_or_method'>
torch.take	<class 'builtin_function_or_method'>
torch.Any	<class 'typing._SpecialForm'>
torch.clone	<class 'builtin_function_or_method'>
torch.attr	<class 'str'>
torch.mv	<class 'builtin_function_or_method'>
torch.int64	<class 'torch.dtype'>
torch.dist	<class 'builtin_function_or_method'>
torch.package	<class 'module'>