Tensor to int
2017年12月1日 — You can use: print(dictionary[IntTensor.data[0]]). The key you're using is an object of type autograd.Variable . .data gives the tensor and the ... ,if I got a float tensor,but the model needs a double tensor.what should I do to cast the float tensor ... tensor_one.int() : converts the tensor_one type to torch.int32.
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 Tensor to int 相關參考資料
How do I get the value of a tensor in PyTorch? - Stack Overflow
2019年8月31日 — You can use x.item() to get a Python number from a tensor that has one element. https://stackoverflow.com How to cast a 1-d IntTensor to int in Pytorch - Stack Overflow
2017年12月1日 — You can use: print(dictionary[IntTensor.data[0]]). The key you're using is an object of type autograd.Variable . .data gives the tensor and the ... https://stackoverflow.com How to cast a tensor to another type? - PyTorch Forums
if I got a float tensor,but the model needs a double tensor.what should I do to cast the float tensor ... tensor_one.int() : converts the tensor_one type to torch.int32. https://discuss.pytorch.org pytorch 把tensor转换成int_zl535320706的博客-CSDN博客_ ...
2018年7月23日 — 直接在tensor变量的后面加.item()，就能把tensor类型转换成int类型，我也不知道为什么，试了别的都不行。 准确的说是把Tensor 转化成Python ... https://blog.csdn.net Tensorflow: How to convert scalar tensor to scalar variable in ...
2020年2月12日 — You need to evaluate a tensor to get a value. If you want to do this: i = # convert idx to int. you can do sess.run() or idx.eval(): i = sess.run(idx). https://stackoverflow.com tf.cast | TensorFlow Core v2.5.0
x, A Tensor or SparseTensor or IndexedSlices of numeric type. It could be uint8 , uint16 , uint32 , uint64 , int8 , int16 , int32 , int64 , float16 , float32 , float64 ... https://www.tensorflow.org Torch - How to change tensor type? - Stack Overflow
2021年2月17日 — y = y.long() does the job. There are similar methods for other data types, such as int , char , float and byte . You can check different dtypes here. https://stackoverflow.com torch.Tensor — PyTorch 1.8.1 documentation
Useful when range is important, since it has the same number of exponent bits as float32. torch.Tensor is an alias for the default tensor type ( torch.FloatTensor ). https://pytorch.org torch.Tensor — PyTorch master documentation
quantized 4-bit integer is stored as a 8-bit signed integer. Currently it's only supported in EmbeddingBag operator. torch.Tensor is an alias for the default tensor ... https://pytorch.org torch.Tensor.int — PyTorch master documentation
Tensor.int. Tensor. int (memory_format=torch.preserve_format) → Tensor. self.int() is equivalent to self.to(torch.int32) . See to() . Parameters. memory_format ... https://pytorch.org |