sushreebarsa
sushreebarsa
@drewshark Before applying tf.math.reciprocal, could you try to explicitly cast your integer input tensor to a supported floating-point data type using tf.cast as follows; ``` import os os.environ['CUDA_VISIBLE_DEVICES'] = ''...
@drewshark Glad it helped you! Thank you for your response here. Closing the issue for now.
@suyash-narain Could you please refer to the official TensorFlow Lite [documentation](https://www.tensorflow.org/lite/guide/build_cmake) for complete Bazel build and let us know if it helps? Thank you!
@suyash-narain Bazel doesn't directly support creating a single shared library (.so) file containing both C++ and C symbols. To achieve this you can try creating separate libraries for your C++...
@sunitha8687 You are using an older TF version 2.8 which is not actively supported so could you please try to upgrade to the latest and follow the tested build configurations...
@sunitha8687 Since your tested build configurations support Python 3.7 to 3.10, please update the base image in your Dockerfile. Kindly rebuild your Docker image locally with the updated base image...
@dennisushi I wasn't able to replicate the issue on colab using TF v2.15, please find the [gist](https://colab.research.google.com/gist/sushreebarsa/75c81cfc0a7a5664336835db4a062cb2/64284.ipynb) here. Kindly use TF latest Version as TF v1.x is no longer actively...
@JuanVargas In order to expedite the trouble-shooting process, please provide a complete code snippet to reproduce the issue reported here. Thank you!
@JuliaUReddy Thank you for raising this issue. If the issue is the same as [this](https://github.com/keras-team/keras/issues/19339) one then we will track the issue in Keras repo. Meanwhile please ensure your checkpoint...
@JuliaUReddy You've set steps_per_epoch = 213 for training, indicating it expects 213 batches per epoch. Here the training gets interrupted due to "Your input ran out of data" warnings. This...