Tensor to int
2019年8月31日 — You can use x.item() to get a Python number from a tensor that has one element. ,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. ,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 ... ,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). ,x, A Tensor or SparseTensor or IndexedSlices of numeric type. It could be uint8 , uint16 , uint32 , uint64 , int8 , int16 , int32 , int64 , float16 , float32 , float64 ... ,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. ,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 ). ,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 ... ,Tensor.int. Tensor. int (memory_format=torch.preserve_format) → Tensor. self.int() is equivalent to self.to(torch.int32) . See to() . Parameters. memory_format ...
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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 |