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Which function is used to get the data type of tensors in tensorflow in python? I need to define dynamic data types according to different tensors.
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We can access the data type of a tensor using the ". dtype" attribute of the tensor. It returns the data type of the tensor.
You can use get_shape() to get the shape of a tensorflow variable. You can use dtype property to get the type of a tensorflow variable. You can use as_numpy_dtype property of dtype to convert from tf. dtype to numpy dtype.
Tensors are multi-dimensional arrays with a uniform type (called a dtype ). You can see all supported dtypes with names(tf$dtypes) . If you're familiar with R array or NumPy, tensors are (kind of) like R or NumPy arrays. All tensors are immutable: you can never update the contents of a tensor, only create a new one.
You can get the type using x.dtype, as follows:
import tensorflow as tf
x=tf.constant([1,2])
x.dtype
This prints tf.int32
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