Comments (2)
import tensorflow as tf
import numpy as np
def angle_with_nan_handling(input_tensor):
# Check if input_tensor contains NaN values
contains_nan = tf.reduce_any(tf.math.is_nan(input_tensor))
# If input_tensor contains NaN values, return NaN
if contains_nan:
return tf.fill(tf.shape(input_tensor), tf.constant(np.nan, dtype=tf.float64))
else:
# Calculate angle for non-NaN values
return tf.math.angle(input_tensor)
Test with float64 input
input_float64 = tf.constant([np.nan], dtype=tf.float64)
out_float64 = angle_with_nan_handling(input_float64)
print("Output for float64 input:", out_float64.numpy()) # Output: [nan]
Test with complex128 input
input_complex128 = tf.constant([np.nan], dtype=tf.complex128)
out_complex128 = angle_with_nan_handling(input_complex128)
print("Output for complex128 input:", out_complex128.numpy()) # Output: [nan]
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@SuryanarayanaY I was able to replicate the issue here.
Thank you!
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from tensorflow.