Comments (1)
System information
- Android Device information (use
adb shell getprop ro.build.fingerprint
if possible):__- TensorFlow Lite in Play Services SDK version (found in
build.gradle
):- Google Play Services version
(Settings
>Apps
>Google Play Services
>App details
):Standalone code to reproduce the issue
Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to or attach code demonstrating
the problem.Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem.
If including tracebacks, please include the full traceback. Large logs and files
should be attached.
from tensorflow.
Related Issues (20)
- Model.add_loss is not documented HOT 4
- Cannot use @TaskAction annotation on method IncrementalTask.taskAction$gradle_core() because interface org.gradle.api.tasks.incremental.IncrementalTaskInputs is not a valid parameter to an action method. HOT 4
- ERROR: @local_config_cuda//:enable_cuda :: Error loading option @local_config_cuda//:enable_cuda: 'NoneType' value has no field or method 'replace' HOT 2
- A checker is needed for inputs of Conv layers. HOT 1
- [Bazel CI] Bazel build error: Target '//tensorflow/tools/pip_package:build_pip_package' contains an error with Bazel@HEAD HOT 1
- TensorFlow lite compilation error under Ubuntu 22.04.4 LTS HOT 2
- Upgrading TFLite package (from TF 2.8 to Play Services) HOT 1
- Unknown: JIT Compilation Failed
- ValueError: Invalid dtype: str768 HOT 6
- Infinity loop when try to save model with input_signatures on funtion decorator HOT 3
- Tensorflow does not recognice GPU no matter what HOT 5
- __dict__ error when saving a model using tf.saved_model.save(model, modelSavedPath)
- softplus on zero values is incorrect HOT 3
- We integrate tensorflow movenet with our webapp, and it stopped working (it worked two weeks ago) with the following error message, what can be the possible reasons and how to fix it? HOT 2
- Tensorflow TF ops - CPU Factory not registered HOT 8
- Complex dtype input for keras layer in tf2.16+ HOT 1
- [Android x86_64] [TFLite] `Fatal signal 11 (SIGSEGV), code 128 (SI_KERNEL), fault addr 0x0` crash from `libtensorflowlite.so` HOT 1
- [DOCS] Missing complex input for Round op HOT 1
- Ensemble provides either correct or (the same) incorrect inference results HOT 2
- tf.keras.utils.plot_model doesn't work HOT 1
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from tensorflow.