TensorFlow v0.12.0 RC0 发布了。
主要新特性和改进： TensorFlow
now builds and runs on Microsoft Windows (tested on Windows 10, Windows
7, and Windows Server 2016). Supported languages include Python (via a
pip package) and C++. CUDA 8.0 and cuDNN 5.1 are supported for GPU
acceleration. Known limitations include: It is not currently possible to
load a custom op library. The GCS and HDFS file systems are not
currently supported. The following ops are not currently implemented:
DepthwiseConv2dNative, DepthwiseConv2dNativeBackpropFilter,
DepthwiseConv2dNativeBackpropInput, Dequantize, Digamma, Erf, Erfc,
Igamma, Igammac, Lgamma, Polygamma, QuantizeAndDequantize,
QuantizedAvgPool, QuantizedBatchNomWithGlobalNormalization,
QuantizedBiasAdd, QuantizedConcat, QuantizedConv2D, QuantizedMatmul,
QuantizedMaxPool, QuantizeDownAndShrinkRange, QuantizedRelu,
QuantizedRelu6, QuantizedReshape, QuantizeV2, RequantizationRange, and
Requantize. Go: Experimental API in Go to create and execute graphs (https://godoc.org/github.com/tensorflow/tensorflow/tensorflow/go) New checkpoint format becomes the default in tf.train.Saver. Old V1 checkpoints continue to be readable; controlled by the write_version argument, tf.train.Saver now
by default writes out in the new V2 format. It significantly reduces
the peak memory required and latency incurred during restore. Added
a new library for library of matrix-free (iterative) solvers for linear
equations, linear least-squares, eigenvalues and singular values in
tensorflow/contrib/solvers. Initial version has lanczos
bidiagonalization, conjugate gradients and CGLS. Added gradients for matrix_solve_ls and self_adjoint_eig. Large
cleanup to add second order gradient for ops with C++ gradients and
improve existing gradients such that most ops can now be differentiated
multiple times. Added a solver for ordinary differential equations, tf.contrib.integrate.odeint. New contrib module for tensors with named axes, tf.contrib.labeled_tensor. Visualization of embeddings in TensorBoard.
API的重大改变：
BusAdjacency enum replaced with a protocol buffer DeviceLocality. PCI bus indexing now starts from 1 instead of 0, and bus_id==0 is used where previously BUS_ANY was used.
Env::FileExists and FileSystem::FileExists now return a tensorflow::Status intead of a bool. Any callers to this function can be converted to a bool by adding .ok() to the call.
C API: Type TF_SessionWithGraph has been renamed to TF_Session, indicating its preferred use in language bindings for TensorFlow. What was previously TF_Session has been renamed toTF_DeprecatedSession. C API: Renamed TF_Port to TF_Output. C API: The caller retains ownership of TF_Tensor objects provided to TF_Run, TF_SessionRun,TF_SetAttrTensor etc. Renamed tf.image.per_image_whitening() to tf.image.per_image_standardization() Move Summary protobuf constructors to tf.summary submodule. Deprecate histogram_summary, audio_summary, scalar_summary, image_summary, merge_summary, and merge_all_summaries. Combined batch_* and regular version of linear algebra and FFT ops. The regular op now handles batches as well. All batch_* Python interfaces were removed. tf.all_variables, tf.VARIABLES and tf.initialize_all_variables renamed totf.global_variables, tf.GLOBAL_VARIABLES and tf.global_variable_initializers respectively.
重大修复和其他更新 Use threadsafe version of lgamma function. Fix tf.sqrt handling of negative arguments. Fixed bug causing incorrect number of threads to be used for multi-threaded benchmarks. Performance optimizations for batch_matmul on multi-core CPUs. Improve trace, matrix_set_diag, matrix_diag_part and their gradients to work for rectangular matrices. Support for SVD of complex valued matrices
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