{"record":{"id":"297ca4c909000d8d","repo":"tensorflow/models","slug":"unrecongized-dtype-dtype","errorCode":null,"errorMessage":"Unrecongized dtype: {dtype}","messagePattern":"Unrecongized dtype: (.+?)","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/projects/movinet/tools/quantize_movinet.py","lineNumber":140,"sourceCode":"  image_string = tf.io.encode_png(\n      tf.squeeze(tf.cast(input_frame * 255., tf.uint8), axis=[0, 1]))\n  features['image'] = _bytes_feature(image_string.numpy())\n\n  # Input/Output states at time T\n  for k, v in output_states.items():\n    dtype = v[0].dtype\n    if dtype == tf.int32:\n      features['input/' + k] = _int64_feature(\n          input_states[k].numpy().flatten().tolist())\n      features['output/' + k] = _int64_feature(\n          output_states[k].numpy().flatten().tolist())\n    elif dtype == tf.float32:\n      features['input/' + k] = _float_feature(\n          input_states[k].numpy().flatten().tolist())\n      features['output/' + k] = _float_feature(\n          output_states[k].numpy().flatten().tolist())\n    else:\n      raise ValueError(f'Unrecongized dtype: {dtype}')\n\n  tfe = _build_tf_example(features)\n  record_file = '{}/movinet_stream_{:06d}.tfrecords'.format(\n      output_dataset_dir, file_index)\n  logging.info('Saving to %s.', record_file)\n  with tf.io.TFRecordWriter(record_file) as writer:\n    writer.write(tfe)\n\n\ndef get_dataset() -> tf.data.Dataset:\n  \"\"\"Gets dataset source.\"\"\"\n  config = video_classification_configs.video_classification_kinetics600()\n\n  temporal_stride = FLAGS.temporal_stride\n  num_frames = FLAGS.num_frames\n  image_size = FLAGS.image_size\n  feature_shape = (num_frames, image_size, image_size, 3)\n","sourceCodeStart":122,"sourceCodeEnd":158,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/movinet/tools/quantize_movinet.py#L122-L158","documentation":"Error \"Unrecongized dtype: {dtype}\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/movinet/tools/quantize_movinet.py:140 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"e006f5f0d534913e49c1f1dae87364039fa607e2","analyzedAt":"2026-08-24T14:09:15.576Z","schemaVersion":2},"datasetVersion":"2026-08-24T17:17:21.512Z"}