Check the preview of 2nd version of this platform being developed by the open MLCommons taskforce on automation and reproducibility as a free, open-source and technology-agnostic on-prem platform.
package:lib-tensorflow-1.14.0-src-static (v1.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2019-08-01
Source: GitHub
cID: 1dc07ee0f4742028:890ca54d1280e4d4

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Description  

This meta package is our attempt to provide a unified Python API, CLI and JSON meta description for different package managers and building tools to automatically download and install different components (models, data sets, libraries, frameworks, tools) necessary to run portable program pipelines across evolving platforms. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!

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ReadMe  

Known issues

$ ck pull repo:ck-mlperf
$ ck install package:lib-tensorflow-1.14.0-src-static
$ ck compile program:image-classification-tf-cpp --dep_add_tags.library=v1.14
$ ck run program:image-classification-tf-cpp --dep_add_tags.weights=resnet
...
Batch 1 of 1
Batch loaded in 0.00210545 s
2019-08-01 11:12:56.505542: E tensorflow/core/common_runtime/executor.cc:641] Executor failed to create kernel. Not found: No registered '_FusedMatMul' OpKernel for CPU devices compatible with node {{node
 resnet_model/dense/BiasAdd}}
        .  Registered:  <no registered kernels>

         [[resnet_model/dense/BiasAdd]]
ERROR: Running model failed: Not found: No registered '_FusedMatMul' OpKernel for CPU devices compatible with node {{node resnet_model/dense/BiasAdd}}
        .  Registered:  <no registered kernels>

         [[resnet_model/dense/BiasAdd]]

See TensorFlow issues: - https://github.com/tensorflow/tensorflow/issues/27671

No workaround is currently available.

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