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[Juligee]

Add Linear Algebra functions for TensorFlow frontend

[Kd-Here]

Hello @Juligee I am new to opensource but good knowledge for Linear Algebra which function i should add?

[Juligee]

Hello @Juligee I am new to opensource but good knowledge for Linear Algebra which function i should add?

Hi, @Kd-Here. Nice to meet you.

Regard the function to add to Ivi frontend, check the "To-Do-List" on this link - https://github.com/unifyai/ivy/issues/1546

• then select a subtask with a Tensorflow Linear Algebra, like "eigh" highlighted -

• You should searcch for the function in Tensorflow website - https://www.tensorflow.org/quantum/tutorials/quantum_data

the native function looks like this-

tf.linalg.eigh( tf.einsum('ji,jk->ik', x_train_normalized, x_train_normalized)) return tf.einsum('ij,jk->ik', x_train_normalized, e_vectors[:,-n_components:]), \ tf.einsum('ij,jk->ik', x_test_normalized, e_vectors[:, -n_components:])

• then start the implementation according Ivy documentation.

If you need more information, please ask more and if I could find the answer, good, or send as many questions to the contributing channel on Ivy discord chat.

You are welcomed!