{"name":"py37-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":["py37-installer","py37-pytest-runner","py37-setuptools","py37-wheel","py37-build","clang-14"]},{"type":"lib","ports":["python37"]},{"type":"run","ports":["py37-absl","py37-future","py37-gin-config","py37-six"]}],"depends_on":[{"type":"run","ports":["py37-tensor2tensor"]}]}