ERROR: No matching distribution found for tensorflow.contrib.rnn.python.ops

As of TensorFlow 2.0, the `tensorflow.contrib` module has been removed. Therefore, you cannot install the `tensorflow.contrib.rnn.python.ops` package.

Instead, you should use the built-in `tf.keras.layers` module to create recurrent neural networks. For example:

import tensorflow as tf

model = tf.keras.Sequential([
  tf.keras.layers.LSTM(64),
  tf.keras.layers.Dense(10)
])

This code creates a model with an LSTM layer with 64 units and a dense layer with 10 units. You can then train this model using the `fit` method:

model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
model.fit(x_train, y_train, epochs=10, validation_data=(x_test, y_test))

This code compiles the model with the `categorical_crossentropy` loss function, the `adam` optimizer, and the `accuracy` metric. It then trains the model for 10 epochs on the training data `x_train` and `y_train`, and validates the model on the test data `x_test` and `y_test`.