TypeError: Input 'shape' of 'ScatterNd' Op has type int64 that does not match type int32 of argument 'indices'.

[MotivaCG]

Trying to test Local Implicit sample I've found this issue:

Performing latent grid optimization...
Traceback (most recent call last):
  File "C:\Users\Victor\anaconda3\envs\LocalImplicit\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 508, in _apply_op_helper
    values = ops.convert_to_tensor(
  File "C:\Users\Victor\anaconda3\envs\LocalImplicit\lib\site-packages\tensorflow\python\profiler\trace.py", line 183, in wrapped
    return func(*args, **kwargs)
  File "C:\Users\Victor\anaconda3\envs\LocalImplicit\lib\site-packages\tensorflow\python\framework\ops.py", line 1662, in convert_to_tensor
    raise ValueError(
ValueError: Tensor conversion requested dtype int32 for Tensor with dtype int64: <tf.Tensor 'Const_3:0' shape=(2,) dtype=int64>

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\Dependencias\LocalImplicitGrid\graphics\reconstruct_geometry.py", line 108, in <module>
    app.run(main)
  File "C:\Users\Victor\anaconda3\envs\LocalImplicit\lib\site-packages\absl\app.py", line 312, in run
    _run_main(main, args)
  File "C:\Users\Victor\anaconda3\envs\LocalImplicit\lib\site-packages\absl\app.py", line 258, in _run_main
    sys.exit(main(argv))
  File "D:\Dependencias\LocalImplicitGrid\graphics\reconstruct_geometry.py", line 88, in main
    v, f, _, _ = rec.encode_decoder_one_scene(
  File "D:\Dependencias\LocalImplicitGrid\graphics\tensorflow_graphics\projects\local_implicit_grid\core\reconstruction.py", line 351, in encode_decoder_one_scene
    goptim = LIGOptimizer(
  File "D:\Dependencias\LocalImplicitGrid\graphics\tensorflow_graphics\projects\local_implicit_grid\core\reconstruction.py", line 61, in __init__
    self._init_graph()
  File "D:\Dependencias\LocalImplicitGrid\graphics\tensorflow_graphics\projects\local_implicit_grid\core\reconstruction.py", line 106, in _init_graph
    self.feat_grid = tf.scatter_nd(self.occ_idx_flat_,
  File "C:\Users\Victor\anaconda3\envs\LocalImplicit\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 9185, in scatter_nd
    _, _, _op, _outputs = _op_def_library._apply_op_helper(
  File "C:\Users\Victor\anaconda3\envs\LocalImplicit\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 546, in _apply_op_helper
    raise TypeError(
TypeError: Input 'shape' of 'ScatterNd' Op has type int64 that does not match type int32 of argument 'indices'.

Any tip on this?

Thank you in advance.

[MotivaCG]

It seems to be related to not finding Cuda but after forcing it I have this new issue:

(localimplicit) D:\Dependencias\LocalImplicitGrid\graphics>python reconstruct_geometry.py --input_ply demo_data/living_room_33_1000_per_m2.ply --part_size=0.25
2022-03-03 20:11:52.947232: E tensorflow/core/lib/monitoring/collection_registry.cc:77] Cannot register 2 metrics with the same name: /tensorflow/api/keras/optimizers
Traceback (most recent call last):
  File "D:\Dependencias\LocalImplicitGrid\graphics\reconstruct_geometry.py", line 28, in <module>
    from tensorflow_graphics.projects.local_implicit_grid.core import reconstruction as rec
  File "D:\Dependencias\LocalImplicitGrid\graphics\tensorflow_graphics\projects\local_implicit_grid\core\reconstruction.py", line 23, in <module>
    from tensorflow_graphics.projects.local_implicit_grid.core import evaluator
  File "D:\Dependencias\LocalImplicitGrid\graphics\tensorflow_graphics\projects\local_implicit_grid\core\evaluator.py", line 27, in <module>
    from tensorflow_graphics.projects.local_implicit_grid.core import implicit_nets as im
  File "D:\Dependencias\LocalImplicitGrid\graphics\tensorflow_graphics\projects\local_implicit_grid\core\implicit_nets.py", line 24, in <module>
    layers = tf.keras.layers
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 62, in __getattr__
    module = self._load()
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 45, in _load
    module = importlib.import_module(self.__name__)
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\importlib\__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\__init__.py", line 25, in <module>
    from keras import models
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\models.py", line 20, in <module>
    from keras import metrics as metrics_module
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\metrics.py", line 24, in <module>
    from keras import activations
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\activations.py", line 20, in <module>
    from keras.layers import advanced_activations
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\layers\__init__.py", line 23, in <module>
    from keras.engine.input_layer import Input
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\engine\input_layer.py", line 21, in <module>
    from keras.engine import base_layer
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\engine\base_layer.py", line 43, in <module>
    from keras.mixed_precision import loss_scale_optimizer
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py", line 18, in <module>
    from keras import optimizers
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\optimizers.py", line 31, in <module>
    from keras.optimizer_v2 import adadelta as adadelta_v2
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\optimizer_v2\adadelta.py", line 22, in <module>
    from keras.optimizer_v2 import optimizer_v2
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\keras\optimizer_v2\optimizer_v2.py", line 36, in <module>
    keras_optimizers_gauge = tf.__internal__.monitoring.BoolGauge(
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\tensorflow\python\eager\monitoring.py", line 360, in __init__
    super(BoolGauge, self).__init__('BoolGauge', _bool_gauge_methods,
  File "C:\Users\Victor\anaconda3\envs\localimplicit\lib\site-packages\tensorflow\python\eager\monitoring.py", line 135, in __init__
    self._metric = self._metric_methods[self._label_length].create(*args)
tensorflow.python.framework.errors_impl.AlreadyExistsError: Another metric with the same name already exists.

(localimplicit) D:\Dependencias\LocalImplicitGrid\graphics>