{
"info": {
"author": "MXNet SDK team",
"author_email": "noreply@amazon.com",
"bugtrack_url": null,
"classifiers": [],
"description": "Project Description\n===================\n\nModel Archiver is a tool used for creating archives of trained neural\nnet models that can be consumed by MXNet-Model-Server inference.\n\nUse the Model Archiver CLI to start create a ``.mar`` file.\n\nModel Archiver is part of `MMS `__.\nHowever,you ca install Model Archiver stand alone.\n\nDetailed documentation and examples are provided in the `README\n`__.\n\nPrerequisites\n-------------\n\nONNX support is optional in `model-archiver` tool. It's not installed\nby default with `model-archiver`.\n\nIf you wish to package a ONNX model, you will need to first install a\n``protobuf`` compiler, ``onnx`` and ``mxnet`` manually.\n\n`Instructions for installing Model Archiver with\nONNX `__.\n\n\n\nInstallation\n------------\n\n::\n\n pip install model-archiver\n\nDevelopment\n-----------\n\nWe welcome new contributors of all experience levels. For information on\nhow to install MMS for development, refer to the `MMS\ndocs `__.\n\nImportant links\n---------------\n\n- `Official source code\n repo `__\n- `Download\n releases `__\n- `Issue\n tracker `__\n\nSource code\n-----------\n\nYou can check the latest source code as follows:\n\n::\n\n git clone https://github.com/awslabs/mxnet-model-server.git\n\nTesting\n-------\n\nAfter installation, try out the MMS Quickstart for `Create a\nmodel archive `__\nand `Serving a\nModel `__.\n\n\nHelp and Support\n----------------\n\n- `Documentation `__\n- `Forum `__\n\nCitation\n--------\n\nIf you use MMS in a publication or project, please cite MMS:\nhttps://github.com/awslabs/mxnet-model-server\n\n\n",
"description_content_type": "",
"docs_url": null,
"download_url": "",
"downloads": {
"last_day": -1,
"last_month": -1,
"last_week": -1
},
"home_page": "https://github.com/awslabs/mxnet-model-server/model-archiver/",
"keywords": "MXNet Model Archive Archiver MMS Server Serving Deep Learning Inference AI",
"license": "Apache License Version 2.0",
"maintainer": "",
"maintainer_email": "",
"name": "model-archiver",
"package_url": "https://pypi.org/project/model-archiver/",
"platform": "",
"project_url": "https://pypi.org/project/model-archiver/",
"project_urls": {
"Homepage": "https://github.com/awslabs/mxnet-model-server/model-archiver/"
},
"release_url": "https://pypi.org/project/model-archiver/1.0.3/",
"requires_dist": [
"future",
"enum-compat",
"mxnet (==1.3.1) ; extra == 'mxnet'",
"mxnet-cu90mkl (==1.3.1) ; extra == 'mxnet-cu90mkl'",
"mxnet-cu92mkl (==1.3.1) ; extra == 'mxnet-cu92mkl'",
"mxnet-mkl (==1.3.1) ; extra == 'mxnet-mkl'",
"onnx (==1.1.1) ; extra == 'onnx'"
],
"requires_python": "",
"summary": "Model Archiver is used for creating archives of trained neural net models that can be consumed by MXNet-Model-Server inference",
"version": "1.0.3"
},
"last_serial": 5275755,
"releases": {
"1.0": [
{
"comment_text": "",
"digests": {
"md5": "2b1d3c3cde4d4673b732accd75715782",
"sha256": "85b2e0be8595a815cd908d60ce8fa32dbefb9c31c9865256174aa1930e088516"
},
"downloads": -1,
"filename": "model_archiver-1.0-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "2b1d3c3cde4d4673b732accd75715782",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 19163,
"upload_time": "2018-10-19T18:37:00",
"url": "https://files.pythonhosted.org/packages/bf/01/e57a802163ed1e4eb3bfc25150819c3fcab8edd85ce0b1051829999d1a15/model_archiver-1.0-py2.py3-none-any.whl"
}
],
"1.0.1": [
{
"comment_text": "",
"digests": {
"md5": "513105d62884462bfd759fcaf04c4666",
"sha256": "b2d5b994aa6e6edebfc690ffc2a24438612ee04a20e8396adf06636175e46275"
},
"downloads": -1,
"filename": "model_archiver-1.0.1-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "513105d62884462bfd759fcaf04c4666",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 19225,
"upload_time": "2018-10-30T20:32:26",
"url": "https://files.pythonhosted.org/packages/2b/81/e30a0b39f49d7c8ef4383bee82165d669980438b35e3dfd5c7881b6cf3c8/model_archiver-1.0.1-py2.py3-none-any.whl"
}
],
"1.0.2": [
{
"comment_text": "",
"digests": {
"md5": "3cf203da8b7ff8dbf802ab7dbe2567fe",
"sha256": "f0906bdd8fbcb58abce86ba5aeecaf1562a55124fc081870f18d565e85b28c67"
},
"downloads": -1,
"filename": "model_archiver-1.0.2-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "3cf203da8b7ff8dbf802ab7dbe2567fe",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 19728,
"upload_time": "2019-04-11T17:59:19",
"url": "https://files.pythonhosted.org/packages/35/b8/db6f3440a40b3c881abfde1e561becd1423dd4eaece31e177b4591d6e389/model_archiver-1.0.2-py2.py3-none-any.whl"
}
],
"1.0.3": [
{
"comment_text": "",
"digests": {
"md5": "60727642f0822976dd09b55837ecec56",
"sha256": "802542293a1376a15267dd73b77acdc106d6a1ea42a31fcb990c0e65e3a9902d"
},
"downloads": -1,
"filename": "model_archiver-1.0.3-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "60727642f0822976dd09b55837ecec56",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 20060,
"upload_time": "2019-05-16T06:28:44",
"url": "https://files.pythonhosted.org/packages/a6/d8/7b0fdde8d436dbe186d456ca20a3bcda8b90d1cc4a3e51e4417e09598ca0/model_archiver-1.0.3-py2.py3-none-any.whl"
}
],
"1.0b20181019": [
{
"comment_text": "",
"digests": {
"md5": "18694ea4d2826419588ab09745d5ac8e",
"sha256": "4250a73ab4278da2f3094087d4adcbdcadf8635e81f2f068999a71a08766e585"
},
"downloads": -1,
"filename": "model_archiver-1.0b20181019-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "18694ea4d2826419588ab09745d5ac8e",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 19288,
"upload_time": "2018-10-19T18:37:01",
"url": "https://files.pythonhosted.org/packages/6e/68/a8bc5e664b40be1c8cf011bb76d6121df1268d6f244935c03c253725764e/model_archiver-1.0b20181019-py2.py3-none-any.whl"
}
]
},
"urls": [
{
"comment_text": "",
"digests": {
"md5": "60727642f0822976dd09b55837ecec56",
"sha256": "802542293a1376a15267dd73b77acdc106d6a1ea42a31fcb990c0e65e3a9902d"
},
"downloads": -1,
"filename": "model_archiver-1.0.3-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "60727642f0822976dd09b55837ecec56",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 20060,
"upload_time": "2019-05-16T06:28:44",
"url": "https://files.pythonhosted.org/packages/a6/d8/7b0fdde8d436dbe186d456ca20a3bcda8b90d1cc4a3e51e4417e09598ca0/model_archiver-1.0.3-py2.py3-none-any.whl"
}
]
}