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This repository has been archived by the owner on Jan 3, 2023. It is now read-only.
This Issue is a baby-step towards gathering the speed- and accuracy-data characterizing the TF DO code on MNIST.
For this Issue:
Develop a Bash or Python script that simply runs MNIST on the TF-DO code. The script must run successfully on our test machine, assuming that a human has already performed appropriate setup steps.
Have @yxlao verify that the MNIST script is sufficiently similar to the version we'll use with with our XLA-based code.
Create documentation describing all human steps needed to run the TF DO script in a clean test environment. (Validation of this step is on a best-effort basis.)
The text was updated successfully, but these errors were encountered:
This Issue is a baby-step towards gathering the speed- and accuracy-data characterizing the TF DO code on MNIST.
For this Issue:
Develop a Bash or Python script that simply runs MNIST on the TF-DO code. The script must run successfully on our test machine, assuming that a human has already performed appropriate setup steps.
Have @yxlao verify that the MNIST script is sufficiently similar to the version we'll use with with our XLA-based code.
Create documentation describing all human steps needed to run the TF DO script in a clean test environment. (Validation of this step is on a best-effort basis.)
The text was updated successfully, but these errors were encountered: