tensorflow-allreduce | open source software library | Machine Learning library
kandi X-RAY | tensorflow-allreduce Summary
kandi X-RAY | tensorflow-allreduce Summary
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit. TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.
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QUESTION
Tensorflow allows for the options "gRPC", "gRPC+verbs" and "gRPC+mpi" when specifying a communication protocol. In the gRPC+verbs documentation, it clearly states that this protocol is based on RDMA. Meanwhile, in the gRPC+MPI documentation, it doesn't imply this at all, and initially I assumed that gRPC+mpi can run on any underlying network. However, this research paper implies that gRPC+mpi is required to run over RDMA (see the end of page 3). Am I misinterpreting the research paper? Can gRPC+MPI in fact run over any network?
...ANSWER
Answered 2019-Oct-23 at 00:51I found the answer, page 4 of the same research paper indicates that the MPI channel is simply capable of supporting RDMA.
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Install tensorflow-allreduce
Linux CPU-only: Python 2 (build history) / Python 3.4 (build history) / Python 3.5 (build history)
Linux GPU: Python 2 (build history) / Python 3.4 (build history) / Python 3.5 (build history)
Mac CPU-only: Python 2 (build history) / Python 3 (build history)
Windows CPU-only: Python 3.5 64-bit (build history) / Python 3.6 64-bit (build history)
Windows GPU: Python 3.5 64-bit (build history) / Python 3.6 64-bit (build history)
Android: demo APK, native libs (build history)
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