Add "accelerator: GPU" to notebooks. (#1149)

* Use GPU

* update notebooks to use GPU

* add "Accelerator" to the required metadata

* Add accelerator metadata to all the Tutobooks.

[Automated]

If a file contains "TPUStartegy" use "TPU".
elif a file doesn't contain ".fit(" use "NONE".
else use "GPU".

For TPU the file list is:

"""
../examples/nlp/text_extraction_with_bert.py
../examples/keras_recipes/tfrecord.py
../examples/vision/xray_classification_with_tpus.py
../examples/vision/image_classification_efficientnet_fine_tuning.py
"""

For NONE the file list is:

"""
../examples/rl/deep_q_network_breakout.py:Accelerator: NONE
../examples/rl/ddpg_pendulum.py:Accelerator: NONE
../examples/rl/actor_critic_cartpole.py:Accelerator: NONE
../examples/rl/ppo_cartpole.py:Accelerator: NONE
../examples/generative/random_walks_with_stable_diffusion.py:Accelerator: NONE
../examples/generative/neural_style_transfer.py:Accelerator: NONE
../examples/generative/deep_dream.py:Accelerator: NONE
../examples/vision/grad_cam.py:Accelerator: NONE
../examples/vision/visualizing_what_convnets_learn.py:Accelerator: NONE
../examples/vision/probing_vits.py:Accelerator: NONE
../examples/vision/reptile.py:Accelerator: NONE
../examples/vision/near_dup_search.py:Accelerator: NONE
../examples/vision/integrated_gradients.py:Accelerator: NONE
../examples/vision/cait.py:Accelerator: NONE
../guides/understanding_masking_and_padding.py:Accelerator: NONE
../guides/writing_a_training_loop_from_scratch.py:Accelerator: NONE
../guides/keras_tuner/tailor_the_search_space.py:Accelerator: NONE
../guides/keras_tuner/visualize_tuning.py:Accelerator: NONE
../guides/keras_tuner/distributed_tuning.py:Accelerator: NONE
../guides/keras_cv/custom_image_augmentations.py:Accelerator: NONE
../guides/keras_cv/generate_images_with_stable_diffusion.py:Accelerator: NONE
../guides/keras_cv/coco_metrics.py:Accelerator: NONE
"""

* These ones benefit from having a GPU

* NONE -> None

* Drop accelerator for 'introduction_to_keras_for_*'

Author: MarkDaoust

examples/audio/ctc_asr.py

@@ -4,6 +4,7 @@
 Date created: 2021/09/26
 Last modified: 2021/09/26
 Description: Training a CTC-based model for automatic speech recognition.
+Accelerator: GPU
 """
 
 """

examples/audio/ipynb/ctc_asr.ipynb

@@ -647,6 +647,7 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
   "colab": {
    "collapsed_sections": [],
    "name": "ctc_asr",

examples/audio/ipynb/melgan_spectrogram_inversion.ipynb

@@ -832,6 +832,7 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
   "colab": {
    "collapsed_sections": [],
    "name": "melgan_spectrogram_inversion",

examples/audio/ipynb/speaker_recognition_using_cnn.ipynb

@@ -619,6 +619,7 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
   "colab": {
    "collapsed_sections": [],
    "name": "speaker_recognition_using_cnn",

examples/audio/ipynb/transformer_asr.ipynb

@@ -692,6 +692,7 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
   "colab": {
    "collapsed_sections": [],
    "name": "transformer_asr",

examples/audio/ipynb/uk_ireland_accent_recognition.ipynb

@@ -1032,6 +1032,7 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
   "colab": {
    "collapsed_sections": [],
    "name": "uk_ireland_accent_recognition",

examples/audio/ipynb/wav2vec2_audiocls.ipynb

@@ -642,6 +642,7 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
   "colab": {
    "collapsed_sections": [],
    "name": "wav2vec2_audiocls",

examples/audio/melgan_spectrogram_inversion.py

@@ -4,6 +4,7 @@
 Date created: 02/09/2021
 Last modified: 15/09/2021
 Description: Inversion of audio from mel-spectrograms using the MelGAN architecture and feature matching.
+Accelerator: GPU
 """
 
 """

examples/audio/speaker_recognition_using_cnn.py

@@ -4,6 +4,7 @@
 Date created: 14/06/2020
 Last modified: 03/07/2020
 Description: Classify speakers using Fast Fourier Transform (FFT) and a 1D Convnet.
+Accelerator: GPU
 """
 """
 ## Introduction

examples/audio/transformer_asr.py

@@ -4,6 +4,7 @@
 Date created: 2021/01/13
 Last modified: 2021/01/13
 Description: Training a sequence-to-sequence Transformer for automatic speech recognition.
+Accelerator: GPU
 """
 """
 ## Introduction