diff options
| -rw-r--r-- | misc/Makefile | 1 | ||||
| -rw-r--r-- | misc/mmdnn/Makefile | 27 | ||||
| -rw-r--r-- | misc/mmdnn/distinfo | 3 | ||||
| -rw-r--r-- | misc/mmdnn/pkg-descr | 22 |
4 files changed, 53 insertions, 0 deletions
diff --git a/misc/Makefile b/misc/Makefile index ed9a7dcce1fe..c5a5e404b945 100644 --- a/misc/Makefile +++ b/misc/Makefile @@ -248,6 +248,7 @@ SUBDIR += metromap SUBDIR += mime-support SUBDIR += mirmon + SUBDIR += mmdnn SUBDIR += mmv SUBDIR += molequeue SUBDIR += morse diff --git a/misc/mmdnn/Makefile b/misc/mmdnn/Makefile new file mode 100644 index 000000000000..59bff3064e99 --- /dev/null +++ b/misc/mmdnn/Makefile @@ -0,0 +1,27 @@ +# $FreeBSD$ + +PORTNAME= mmdnn +DISTVERSION= 0.2.5-21 +DISTVERSIONSUFFIX= -gc1c748e +CATEGORIES= misc python # machine-learning + +MAINTAINER= yuri@FreeBSD.org +COMMENT= Tools to inter-operate among different deep learning frameworks + +LICENSE= MIT +LICENSE_FILE= ${WRKSRC}/LICENSE + +RUN_DEPENDS= ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}pillow>=3.1.0:graphics/py-pillow@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}protobuf>=3.6.0:devel/py-protobuf@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}six>=1.10.0:devel/py-six@${PY_FLAVOR} + +USES= python +USE_GITHUB= yes +GH_ACCOUNT= microsoft +GH_PROJECT= MMdnn +USE_PYTHON= distutils noflavors autoplist + +NO_ARCH= yes + +.include <bsd.port.mk> diff --git a/misc/mmdnn/distinfo b/misc/mmdnn/distinfo new file mode 100644 index 000000000000..28d8f7eb2cac --- /dev/null +++ b/misc/mmdnn/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1574803092 +SHA256 (microsoft-MMdnn-0.2.5-21-gc1c748e_GH0.tar.gz) = a5ba7e8e07b28fdc5323678641c9370b20ec499490668a4376d8ddc2b3fc0fcd +SIZE (microsoft-MMdnn-0.2.5-21-gc1c748e_GH0.tar.gz) = 2265465 diff --git a/misc/mmdnn/pkg-descr b/misc/mmdnn/pkg-descr new file mode 100644 index 000000000000..55e2a8188e93 --- /dev/null +++ b/misc/mmdnn/pkg-descr @@ -0,0 +1,22 @@ +MMdnn is a set of tools to help users inter-operate among different deep +learning frameworks. E.g. model conversion and visualization. Convert models +between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. + +A comprehensive, cross-framework solution to convert, visualize and diagnose +deep neural network models. The "MM" in MMdnn stands for model management and +"dnn" is an acronym for the deep neural network. + +Major features: +* Find model + - We provide a model collection to help you find some popular models + - We provide a model visualizer to display the network architecture more + intuitively +* Conversion + - We implement a universal converter to convert DNN models between + frameworks, which means you can train on one framework and deploy on another +* Retrain + - In the converter, we can generate some training/inference code snippet to + simplify the retrain/evaluate work +* Deployment + +WWW: https://github.com/microsoft/MMdnn |