structured_delegate:add.out structured_delegate: add.out:这表示该操作的结构化委托(structured delegate)是add.out。即,这个操作通过委托给另一个操作(可能是add.out)来实现。通常,委托是为了代码重用或简化逻辑的目的。add.out可能是一个更通用的加法操作,它用于处理与add_相同的核心功能,但实现上可能会有所不...
max=None) -> Tensor device_check: NoCheck # TensorIterator variants: function, method cpp_no_default_args: ['min'] structured_delegate: clamp.out dispatch: QuantizedCPU: clamp_quantized_cpu tags: [core, pointwise] python中调用情况 >>> x tensor([0.3779, 0.5394, 0.3778, 0.3164, 0.5636]) >...
structured_delegate: scatter_add.out variants: function, method - func: scatter_add_(Tensor(a!) self, int dim, Tensor index, Tensor src) -> Tensor(a!) structured_delegate: scatter_add.out variants: method - func: scatter_add.out(Tensor self, int dim, Tensor index, Tensor src, *, Ten...
CUDA: sub_out SparseCPU, SparseCUDA: sub_out_sparse # sub.Tensor 对应的虚函数表 - func: sub.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor device_check: NoCheck # TensorIterator variants: function, method structured_delegate: sub.out dispatch: SparseCPU...
NoCheck# TensorIteratorstructured:Truestructured_inherits:TensorIteratorBasedispatch:CPU,CUDA:sub_outSparseCPU,SparseCUDA:sub_out_sparse# sub.Tensor 对应的虚函数表-func:sub.Tensor(Tensorself,Tensorother,*,Scalaralpha=1)->Tensordevice_check:NoCheck# TensorIteratorvariants:function,methodstructured_delegate:...
🐛 Describe the bug The operator is - func: aminmax(Tensor self, *, int? dim=None, bool keepdim=False) -> (Tensor min, Tensor max) device_check: NoCheck # TensorIterator structured_delegate: aminmax.out variants: function, method Look in ...
- func: add_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!) variants: method structured_delegate: add.out dispatch: SparseCPU, SparseCUDA: add_sparse_ MkldnnCPU: mkldnn_add_ add_.Scalar 的函数分发描述。
structured_delegate: _softmax.out dispatch: CPU: softmax_cpu CUDA: softmax_cuda MkldnnCPU: mkldnn_softmax - func: _softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) structured: True dispatch: CPU: softmax_cpu_out CUDA: softmax_cuda_out -...
前面看到了如何在 GPU 上操作张量,我们接下来看看如何把模型放置到 GPU 之上。 首先我们定义了一个模型。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 classToyModel(nn.Module):def__init__(self):super(ToyModel,self).__init__()self.net1=nn.Linear(10,10)self.relu=nn.ReLU()self.net2=nn...
TFLite supports addingstructured metadatato the model. This includes: Model information- Overall description of the model as well as items such as license terms. SeeModelMetadata. Input information- Description of the inputs and pre-processing required such as normalization. ...