When loading the mt3 model, I'm getting a valueerror: "Configurable 'models.ContinuousInputsEncoderDecoderModel.loss_fn' doesn't have a parameter named 'z_loss'. In file "/content/mt3/gin/model.gin", line 16 z_loss = %Z_LOSS ^" Not sure what this means since I know nothing about code but feel like it would be helpful to address.

It was working fine until a few days ago, But now, "Imports and Definitions" section says,

/usr/local/lib/python3.7/dist-packages/jax/_src/lib/__init__.py in check_jaxlib_version(jax_version, jaxlib_version, minimum_jaxlib_version)
     80            f'incompatible with jax version {jax_version}. Please '
     81            'update your jax and/or jaxlib packages.')
---> 82     raise RuntimeError(msg)
     83 
     84   return _jaxlib_version

RuntimeError: jaxlib version 0.3.20 is newer than and incompatible with jax version 0.3.15. Please update your jax and/or jaxlib packages.

Second cell in Colab Notebook results in the following error.

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
[<ipython-input-2-152851d66c54>](https://localhost:8080/#) in <module>()
     14 import seqio
     15 import t5
---> 16 import t5x
     17 
     18 from mt3 import metrics_utils

4 frames
[/content/t5x/__init__.py](https://localhost:8080/#) in <module>()
     15 """Import API modules."""
     16 
---> 17 import t5x.adafactor
     18 import t5x.checkpoints
     19 import t5x.decoding

[/content/t5x/adafactor.py](https://localhost:8080/#) in <module>()
     61 import jax.numpy as jnp
     62 import numpy as np
---> 63 from t5x import utils
     64 from t5x.optimizers import OptimizerDef
     65 from t5x.optimizers import OptimizerState

[/content/t5x/utils.py](https://localhost:8080/#) in <module>()
     41 import numpy as np
     42 import seqio
---> 43 from t5x import checkpoints
     44 from t5x import optimizers
     45 from t5x import partitioning

[/content/t5x/checkpoints.py](https://localhost:8080/#) in <module>()
     50 from t5x import checkpoint_utils
     51 from t5x import optimizers
---> 52 from t5x import partitioning
     53 from t5x import state_utils
     54 from t5x import train_state as train_state_lib

[/content/t5x/partitioning.py](https://localhost:8080/#) in <module>()
     45   cached_property = property  # pylint: disable=invalid-name
     46 else:
---> 47   cached_property = functools.cached_property  # pylint: disable=invalid-name
     48 
     49 

AttributeError: module 'functools' has no attribute 'cached_property'

The jax package doesn't seem to have the correct version installed. This version of the jax package does not seem to have a function called 'tree_multimap'

ModuleNotFoundError Traceback (most recent call last) in () 14 import seqio 15 import t5 ---> 16 import t5x 17 18 from mt3 import metrics_utils

ModuleNotFoundError: No module named 't5x

ImportError Traceback (most recent call last) in () 14 import seqio 15 import t5 ---> 16 import t5x 17 18 from mt3 import metrics_utils

2 frames /content/t5x/utils.py in () 26 import time 27 import typing ---> 28 from typing import Any, Callable, Iterable, Mapping, Optional, Sequence, Tuple, Type, Union, Protocol 29 import warnings 30

ImportError: cannot import name 'Protocol' from 'typing' (/usr/lib/python3.7/typing.py)

NOTE: If your import is failing due to a missing package, you can manually install dependencies using either !pip or !apt.

To view examples of installing some common dependencies, click the "Open Examples" button below.

When I run Imports and Definitions It always show that.

How can I solve it!

Issue

This notebook runs out of disk space installing tf-nightly when running the Setup Environment cell.

Details

I poked around a bit, and it looks like as part of the t5x installation, clu also gets installed. During the clu installation, it looks like tf-nightly attempts to get installed twice. The first time around it grabs the most recent version, tf_nightly-2.10.0.dev20220521-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl, as seen here

The second time around, it tries to grab every version (including back to 2.9.0) from https://pypi.org/project/tf-nightly/#history, as seen here , until it eventually hits ERROR: Could not install packages due to an OSError: [Errno 28] No space left on device

I'm not quite sure what's causing the second installation to trigger. The rest of the installation seems to go okay, but running Imports and Definitions fails out when it can't find clu

Notes

• These errors came from running !pip install git+https://github.com/google/CommonLoopUtils#egg=clu , which I got from the t5x repo . If it makes more sense to open an issue there, I can do that -- I opened one here as it happened when I was running the demo notebook
• This has run for me as recently as April 26, 2022. I'm not sure if this issue was still happening, but I was just not running out of disk space on Colab because there were fewer tf-nightly versions (they're each ~500MB)

I know the 0-127 midi instrument program is included in this 1536, but what exactly does this region locate? I'm asking this because I want to apply a mask to the raw output to constrain the predicted types of instrument before softmax layer. So appreciated it if you can help me with this!

Hello! I want to transcribe multi-instrument music with this repository. I cloned it and installed the requirements. However, I am unsure which file I need to run in order to automatically transcribe music.

I have been using the scripts for a while, and It is amazing. However, I lost between the track names when I tried to pull the guitars and Arabic instruments back from the MIDI. Sometimes it splits them so much that you get disoriented between small parts and large parts of the same instrument, while being afraid to overlap the tunes. There are only the drums that can be easily found as they are on channel 10. Note: I am using FL Studio embed FLEX system to import the MIDI file. Any workaround for this?

Detail

AttributeError Traceback (most recent call last) in () 14 import seqio 15 import t5 ---> 16 import t5x 17 18 from mt3 import metrics_utils

2 frames /content/t5x/init.py in () 15 """Import API modules.""" 16 ---> 17 import t5x.adafactor 18 import t5x.checkpoints 19 import t5x.decoding

/content/t5x/adafactor.py in () 61 import jax.numpy as jnp 62 import numpy as np ---> 63 from t5x import utils 64 from t5x.optimizers import OptimizerDef 65 from t5x.optimizers import OptimizerState

/content/t5x/utils.py in () 152 153 --> 154 class LegacyCheckpointer(orbax.checkpoint.Checkpointer): 155 """Implementation of Checkpointer interface for T5X. 156

AttributeError: module 'orbax.checkpoint' has no attribute 'Checkpointer'

Hi, this project is impressive. I would like to try it out on mobile ios / android. Can the model be converted easily to tensorflow lite ? What would be the required redesign ? Thanks a lot.

The following prompt appears when running Transcribe Audio: WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/util/nest.py:914: RandomDataset.init (from tensorflow.python. data.ops.dataset_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.data.Dataset.random(...). This error will cause google colab to process very slowly. Can there be a solution? Thanks!