Comments (6)
It is is closer, but still far away - many gradients are still missing from the C API.
from tensorflow.jl.
Any timeline on this?
from tensorflow.jl.
No. There is a just TODO in the readme for the C API that says to add support support for gradient calculations.
from tensorflow.jl.
In the mean time, would you be amenable to splitting out, say, TensorFlowCore.jl to provide the core API and have TensorFlow.jl wrap that + provide extras like gradients
? It'd be pretty useful for applications that don't need gradients
not to have the hard python dependency.
Alternatively, perhaps we could do something like lazy-loading the python process when gradients
is first called?
from tensorflow.jl.
I'd be up for lazy-loading the python process. In practice I would think most uses of TensorFlow would use gradients
, but if nothing else, you'd get a faster start-up time.
from tensorflow.jl.
I think this might be unblocked now:
tensorflow/tensorflow#6268
or at least it is closer.
from tensorflow.jl.
Related Issues (20)
- Add docs for Eager mode HOT 1
- Configuration. HOT 1
- Installation fails using latest Conda.jl HOT 2
- Import Frozen Networks from Python? HOT 3
- Using tf.keras with Tensorflow.jl HOT 3
- FYI: Support TF v1.12.2 that "Fixes a potential security vulnerability where carefully crafted GIF images can produce a null pointer dereference during decoding" HOT 3
- Passing a type in `shape` kw argument leads to exciting tensors HOT 1
- Tensorflow 2.0 API branch? HOT 1
- Error installing TensorFlow on Ubuntu HOT 5
- Documentation/Example of Input Pipeline
- Support 2.1.0 and/or 1.15.2 HOT 8
- sefault on julia 1.3-rc5 HOT 1
- PyCall not found error HOT 15
- TensorFlow.jl with Google's Coral board HOT 1
- Release v0.12
- MNIST package not found in the examples
- TF2 and incongruence with TF Dev summit message? HOT 1
- Support for TF 2.3? HOT 2
- Is there a good reason to revive this project? HOT 5
- Feedback on Detected CODE_INJECTION
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from tensorflow.jl.