![]() You may also use torch.empty() with the In-place random sampling Torch.rand() torch.rand_like() torch.randn() torch.randn_like() torch.randint() torch.randint_like() torch.randperm() Random sampling creation ops are listed under Random sampling and Returns the total number of elements in the input tensor.ĭisables denormal floating numbers on CPU. Sets the default torch.Tensor type to floating point tensor type t. Sets the default torch.Tensor to be allocated on device. Get the current default floating point torch.dtype. Sets the default floating point dtype to d. Returns True if the input is a single element tensor which is not equal to zero after type conversions. Returns True if the data type of input is a floating point data type i.e., one of torch.float64, torch.float32, torch.float16, and torch.bfloat16. Returns True if the input is a conjugated tensor, i.e. Returns True if the data type of input is a complex data type i.e., one of ple圆4, and plex128. Returns True if obj is a PyTorch storage object. Extending torch.func with autograd.Function.CPU threading and TorchScript inference. ![]() ![]() CUDA Automatic Mixed Precision examples.
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