Closed IgnacioRodriguez98 closed 1 year ago
In TensorFlow.NET, you can use tf.set_random_seed. Here is an example:
using static Tensorflow.Binding;
tf.set_random_seed(10);
var randNum = tf.random.uniform(1);
Console.WriteLine($"randnum: {randNum}"); // randnum: tf.Tensor: shape=(1,), dtype=float32, numpy=array([0.6364622])
In TensorFlow.NET, you can use tf.set_random_seed. Here is an example:
using static Tensorflow.Binding; tf.set_random_seed(10); var randNum = tf.random.uniform(1); Console.WriteLine($"randnum: {randNum}"); // randnum: tf.Tensor: shape=(1,), dtype=float32, numpy=array([0.6364622])
Excuse my ignorance, but if I put my code like this (in python if it works for me like this) I would already have my seed and could I have my reproducible experiment?
var LSTM = new Sequential();
LSTM.Add(new Bidirectional(new LSTM(50, activation: "relu", input_shape: input_shape)));
LSTM.Add(new Dense(1));
LSTM.Compile(optimizer: "adam", loss: "mean_squared_error");
tf.set_random_seed(7);
LSTM.fit()
Sorry, even though TensorFlow and TensorFlow.NET use the same random seed and the same way random numbers are generated, they can't currently produce the same random number. BTW, tf.set_random_seed
is used in tf1, you are better use tf.random.set_seed
in tf2, and there is no alignment tf.random.set_seed
yet in TensorFlow.NET, you can use tf.set_random_seed
in TensorFlow.NET instead.
Description
Hi there.
I´m came from python and there is necessary to set a random seed to ensure that results are reproducible, how can I set that seed in tensorflow.net?
here are examples to set it in python:
np.random.seed(7) tf.set_random_seed(7)