a922855fe7aef360e4a360caa800388d9c843355,art/classifiers/tensorflow.py,TensorflowV2Classifier,predict,#TensorflowV2Classifier#Any#Any#,673

Before Change

    //         // Run prediction
    //         results[begin:end] = self._sess.run(self._output, feed_dict=feed_dict)

        results = self._model(x_preprocessed).numpy()
        // print(type(results))
        // sadf

        return results

After Change

        // Run prediction with batch processing
        results = np.zeros((x_preprocessed.shape[0], self.nb_classes), dtype=np.float32)
        num_batch = int(np.ceil(len(x_preprocessed) / float(batch_size)))
        for m in range(num_batch):
            // Batch indexes
            begin, end = m * batch_size, min((m + 1) * batch_size, x_preprocessed.shape[0])

            // Run prediction
            results[begin:end] = self._model(x_preprocessed[begin:end]).numpy()

        return results

    def fit(self, x, y, batch_size=128, nb_epochs=10, **kwargs):
        

Instances