TensorFlow.NET
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SciSharp
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
### Background and Feature Description 不支持使用结构化信号进行训练，希望能添加，谢谢了，还有最新版（0.150.0）版本不支持GPU 。希望能改进。https://tensorflow.google.cn/neural_structured_learning?hl=zh-cn ### API Definition and Usage _No response_ ### Alternatives # Create a base model -- sequential, functional, or subclass. model = tf.keras.Sequential([ tf.keras.Input((28,...
### Description 读取.h5的模型报错：Tensorflow.Exceptions.NotOkStatusException: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for E:\aa\007005.h5\variables\variables at Tensorflow.Checkpoint.CheckpointReader..ctor(String filename) at Tensorflow.Checkpoint.TrackableSaver.restore(String save_path, CheckpointOptions options) at Tensorflow.Loader._restore_checkpoint() at Tensorflow.Loader..ctor(SavedObjectGraph object_graph_proto, SavedModel saved_model_proto, String...
### Description While loading training data into an NDArray an exception is being thrown. In this example "i" was 455, "xDim" = 740, "yDim" = 532 this is the stack...
### Description Our builds don't use the default paths for bin and obj - instead they place all files in a separate folder (`artifacts`) in the root of our repository....
### Description I can no longer reference this assembly in from my own strong name signed assembly. I get > CSC : error CS8002: Referenced assembly 'Tensorflow.Binding, Version=0.150.0.0, Culture=neutral, PublicKeyToken=null'...
### Description When updating to the latest TF.NET I noticed that Dispose methods were removed from types. This seems to be done in https://github.com/SciSharp/TensorFlow.NET/commit/e5dfe90e9b5107fe6de7f4e73c54feee1c94f4ff#diff-fa5a105168638b6355c038d3eb3749d77f6e7c38c91bf7ec623b26cac68a8d1e While using SafeHandles is good, that...
### Description When are GPU packages released? We'd like to make sure they are available for the version of TensorFlow.NET we depend on, but it seems there is are a...
### Description python代码： import numpy as np import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers inputs = tf.random.normal([32, 10, 8]) lstm = tf.keras.layers.LSTM(4) output = lstm(inputs)...