Python – tensorflow.math.floor()
Last Updated :
22 Sep, 2021
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. floor() is used to find the element wise floor value of the input i.e. the largest integer not greater than x
Syntax: tensorflow.math.floor( x, name)
Parameters:
- x: It’s a tensor and allowed dtype for this tensor are bfloat16, half, float32, float64.
- name: It’s an optional argument that defines the name for the operation.
Returns: It returns a tensor of same dtype as x.
Example 1:
Python3
import tensorflow as tf
a = tf.constant([ 1.5 , 2.7 , 3.9 , 1.2 , 1.8 ], dtype = tf.float64)
print ( 'a: ' ,a)
r = tf.math.floor(a)
print ( "Result: " ,r)
|
Output:
a: tf.Tensor([1.5 2.7 3.9 1.2 1.8], shape=(5,), dtype=float64)
Result: tf.Tensor([1. 2. 3. 1. 1.], shape=(5,), dtype=float64))
Example 2: In this example 2-D tensor is used.
Python3
import tensorflow as tf
a = tf.constant([[ 1.5 , 2.7 ], [ 3.9 , 1.2 ]], dtype = tf.float64)
print ( 'a: ' ,a)
r = tf.math.floor(a)
print ( 'Result: ' ,r)
|
Output:
a: tf.Tensor(
[[1.5 2.7]
[3.9 1.2]], shape=(2, 2), dtype=float64)
Result: tf.Tensor(
[[1. 2.]
[3. 1.]], shape=(2, 2), dtype=float64)
Example 3: In this example invalid dtype tensor is used. It will raise NotFoundError.
Python3
import tensorflow as tf
a = tf.constant([ 1.5 , 2.7 , 3.9 , 1.2 , 1.8 ], dtype = tf.complex128)
print ( 'a: ' ,a)
r = tf.math.floor(a)
|
Output:
a: tf.Tensor([1.5+0.j 2.7+0.j 3.9+0.j 1.2+0.j 1.8+0.j], shape=(5,), dtype=complex128)
---------------------------------------------------------------------------
NotFoundError Traceback (most recent call last)
in ()
6
7 # Finding the floor value
----> 8 r = tf.math.floor(a)
2 frames
/usr/local/lib/python3.6/dist-packages/six.py in raise_from(value, from_value)
NotFoundError: Could not find valid device for node.
Node:{{node Floor}}
All kernels registered for op Floor :
device='XLA_GPU'; T in [DT_FLOAT, DT_DOUBLE, DT_BFLOAT16, DT_HALF]
device='XLA_CPU'; T in [DT_FLOAT, DT_DOUBLE, DT_BFLOAT16, DT_HALF]
device='XLA_CPU_JIT'; T in [DT_FLOAT, DT_DOUBLE, DT_BFLOAT16, DT_HALF]
device='XLA_GPU_JIT'; T in [DT_FLOAT, DT_DOUBLE, DT_BFLOAT16, DT_HALF]
device='GPU'; T in [DT_DOUBLE]
device='GPU'; T in [DT_HALF]
device='GPU'; T in [DT_FLOAT]
device='CPU'; T in [DT_DOUBLE]
device='CPU'; T in [DT_HALF]
device='CPU'; T in [DT_FLOAT]
[Op:Floor]
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