experiments/STT
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Updated making mmap-able model part of README.md

Browse Source 
In the making mmap-able model part of the REAMDE.md file, there is no mention of providing `convert_graphdef_memmapped_format` as the artifact name for `taskcluster.py` file. Without this argument `taskcluster.py` file tries to download the default `native_client.tar.xz` artifact and the code receives a 404 error.
This commit is contained in:
Jahir Islam 2018-11-06 00:56:41 +06:00 committed by GitHub
parent 8b0abd5364
commit 5ce8f41398
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -327,7 +327,7 @@ If you want to experiment with the TF Lite engine, you need to export a model th
The `output_graph.pb` model file generated in the above step will be loaded in memory to be dealt with when running inference.
This will result in extra loading time and memory consumption. One way to avoid this is to directly read data from the disk.
TensorFlow has tooling to achieve this: it requires building the target `//tensorflow/contrib/util:convert_graphdef_memmapped_format` (binaries are produced by our TaskCluster for some systems including Linux/amd64 and macOS/amd64), use `util/taskcluster.py` tool to download, specifying `tensorflow` as a source.
TensorFlow has tooling to achieve this: it requires building the target `//tensorflow/contrib/util:convert_graphdef_memmapped_format` (binaries are produced by our TaskCluster for some systems including Linux/amd64 and macOS/amd64), use `util/taskcluster.py` tool to download, specifying `tensorflow` as a source and `convert_graphdef_memmapped_format` as artifact.
Producing a mmap-able model is as simple as:
```
$ convert_graphdef_memmapped_format --in_graph=output_graph.pb --out_graph=output_graph.pbmm