Bug Fixed in tf.custom_gradient API Document #58486
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tf.custom_gradient documentation have the below code snippet from line nos.63 to 65 which is throwing Runtime Error:tf.gradients is not supported when eager execution is enabled. Use tf.GradientTape instead. x = tf.constant(100.) y = log1pexp(x) dy_dx = tf.gradients(y, x) # Will be NaN when evaluated. The above code snippet needs to be replaced with the one attached below to avoid the runtime error in 2.X versions. with tf.GradientTape() as tape: tape.watch(x) y=log1pexp(x) dy_dx = tape.gradient(y, x) # Will be NaN when evaluated. Please refer to the attached gist below for same. https://colab.research.google.com/gist/SuryanarayanaY/e692b30c318c42e86819bc153ab2ee77/tf_gradient.ipynb#scrollTo=YQoLZkmVgUok
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tf.custom_gradient documentation have the below code snippet from line nos.63 to 65 which is throwing Runtime Error:tf.gradients is not supported when eager execution is enabled. Use tf.GradientTape instead.
The above code snippet needs to be replaced with the one attached below to avoid the runtime error in 2.X versions.
Please refer to the attached gist below for same.