Creating a Tensor
Following is the way of creating a Tensor
Syntax:
tf.constant(value, dtype, name = "")
Arguments:
-`value`: Value of n-dimension to define the tensor.
Optional -
'dtype' - Define the type of data:
- `tf.string`: String variable
- `tf.int16`: Integer variable
- `tf.float32`: Flot variable
- "name": Name of the tensor.
Optional:
By default, `Const_1:0`
to create a tensor of dimension 0
import tensorflow as tf
r1 = tf.constant(1, tf.int16)
print(r1)
r2 = tf.constant(1, tf.int16, name = "my_scalar")
print(r2)
The output of the above code will be Tensor("Const_1:0", shape=(), dtype=int16) Tensor("my_scalar:0", shape=(), dtype=int16)
to create a tensor with decimal or string values
import tensorflow as tf
# Decimal
r1_decimal = tf.constant(1.12345, tf.float32)
print(r1_decimal)
# String
r1_string = tf.constant("infovistar", tf.string)
print(r1_string)
The output of the above code will be Tensor("Const_2:0", shape=(), dtype=float32) Tensor("Const_3:0", shape=(), dtype=string)
to create a tensor of dimension 1
import tensorflow as tf
r2_boolean = tf.constant([True, True, False], tf.bool)
print(r2_boolean)
## Rank 2
r2_matrix = tf.constant([ [1, 2],
[3, 4] ], tf.int16)
print(r2_matrix)
The output of the above code will be Tensor("Const_4:0", shape=(3,), dtype=bool) Tensor("Const_5:0", shape=(2, 2), dtype=int16)