Comments (7)
letting you guys know that numba
has recently opensourced their numbapro
paid library, so everyone can use 'gpu' and 'parallel' targets now! I'd be really excited to see if anyone would use any of those in tensorflow
from tensorflow.
Our team has recently released a library for python-native TensorFlow operator definition and optimization: opveclib. It is not part of the numba ecosystem, but I believe could be an alternative solution to @datnamer 's desired functionality.
from tensorflow.
So I did some digging in the documentation. It would be convenient to be able to write a new op with Numba.
from tensorflow.
👍
from tensorflow.
I think that 'close' belongs over in tensorflow/skflow #47
from tensorflow.
Oops, sorry.
from tensorflow.
Since we have py_func() you can utilize any python numpy based library, so this feature seems addressed. If you have a more targeted feature request, we'd be happy to talk about it. Thanks!
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Related Issues (20)
- Negative values returned from tf.math.sobol_sample HOT 1
- Unable to run model builder test for Object Detection API HOT 2
- Difficulty viewing "Lifetime of a PR" diagram in CONTRIBUTING.md if you have a dark background
- Enabling XLA in tensorflow 2.16 causes memory leaks HOT 1
- Layers.Flatten( ) fails under TF 2.16.1 but not under TF 2.15 HOT 2
- INT4 and other low-precision conversion support status
- Tensorflow 2.16.1 fails to compile with -march=native on Xeon 4410Y CPU HOT 7
- In Ardiono:Hybrid models are not supported on TFLite Micro. Node FULLY_CONNECTED (number 12f) failed to prepare with status 1
- tf.math.reciprocal lacks support of int input on CPU, inconsistent with the documentation
- using tf.linalg.det in custom loss function yields matrix inversion error HOT 1
- Could not interpret optimizer identifier: <keras.src.optimizers.adam.Adam object HOT 4
- Unrecognized keyword arguments passed to Embedding HOT 4
- tf.raw_ops.ApproximateEqual/Erfinv fail support a few data types, inconsistent with the documentation
- how to solve the exception with "UnboundLocalError: local variable 'batch_index' referenced before assignment" HOT 2
- tflite converter crashes with version 2.16.1 HOT 4
- TensorflowLite for Windows on Arm
- Allocating all memory, CUDA OOM
- Segmentation fault (core dumped) HOT 1
- Fail to build from source: API rate limit exceeded for 216.228.127.129 HOT 1
- how to solve this error ? : AttributeError: module 'keras._tf_keras.keras.layers' has no attribute 'experimental' HOT 4
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