{"name":"py38-mesh-tensorflow","portdir":"python/py-mesh-tensorflow","version":"0.1.18.20210305","license":"Apache-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/tensorflow/mesh","description":"Mesh TensorFlow - Model Parallelism Made Easier","long_description":"Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying a broad class of distributed tensor computations. The purpose of Mesh TensorFlow is to formalize and implement distribution strategies for your computation graph over your hardware/processors. For example: Split  the batch over rows of processors and split the  units in the hidden layer across columns of  processors. Mesh TensorFlow is implemented as a layer over TensorFlow.","active":false,"categories":["python"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-16","py38-pytest-runner","py38-setuptools","py38-wheel","py38-build","py38-installer"]},{"type":"lib","ports":["python38"]},{"type":"run","ports":["py38-absl","py38-future","py38-gin-config","py38-six"]}],"depends_on":[{"type":"run","ports":["py38-tensor2tensor"]}]}