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I was wondering if the equinox community has good advice / best practices for creating dataloaders that work well with jax? I've done some stuff from scratch but I tend to find that the training (on G…
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Hi there,
I'm trying to set up public datasets for evaluation listed in Table 9, but got different train/test size for some datasets:
1. Facial Emotion Recognition 2013
Dataset I found on [Kaggl…
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**Describe the bug**
``quantize_model(model)`` throws ValueError if ``tf.keras.mixed_precision.experimental.Policy("mixed_float16")`` is set.
**System information**
TensorFlow installed from …
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I followed the example https://github.com/tensorflow/probability/blob/master/tensorflow_probability/examples/jupyter_notebooks/Structural_Time_Series_Modeling_Case_Studies_Atmospheric_CO2_and_Electric…
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Hello Team,
Library versions:
- TensorFlow 2.5.0
- TensorFlow Ranking 0.4.2
## TL;DR:
I trained two models (let's calls them `A` and `B` (with same fixed seed, same training dataset input, …
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# Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [Y ] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
- [Y ] I am reporti…
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By default tensorflow will run the training on 1 GPU with lowest ID.
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When running the `fit` function on a model after compiling the model with the TPUStrategy as in #1056 , the cardinality is implicitely calculated.
A TFRecordDataset is used as Dataset for the fit fun…
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https://tensorflow.google.cn/lite/performance/quantization_spec
from this document we can see the post-training quantization do asymmetric quantization for activations, do symmetric quantization for …
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1 ! python /content/seq2point-nilm/train_main.py
2021-10-28 09:11:45.132367: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not …