Port Api Instance

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "name": "py39-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": true,
    "categories": [
        "python"
    ],
    "maintainers": [],
    "variants": [],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "clang-17",
                "py39-pytest-runner",
                "py39-setuptools",
                "py39-wheel",
                "py39-build",
                "py39-installer"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "python39"
            ]
        },
        {
            "type": "run",
            "ports": [
                "py39-absl",
                "py39-future",
                "py39-gin-config",
                "py39-six"
            ]
        }
    ],
    "depends_on": [
        {
            "type": "lib",
            "ports": [
                "py-mesh-tensorflow"
            ]
        },
        {
            "type": "run",
            "ports": [
                "py39-tensor2tensor"
            ]
        }
    ]
}