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| author |  Suyog Gupta <suyoggupta@google.com> | 2018-10-02 14:46:13 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-10-02 14:50:48 -0700 |
| commit | 891e49f57b8229f58315cfeb743e38c235918083 (patch) | |
| tree | 907d668e713c5d200c4b056fee5e926cdb469019 /tensorflow/contrib/model_pruning | |
| parent | 05812d761031b108b43560c90867b96dc4f030eb (diff) | |
Add missing documentation for use_tpu hparam
PiperOrigin-RevId: 215462000
Diffstat (limited to 'tensorflow/contrib/model_pruning')
| -rw-r--r-- | tensorflow/contrib/model_pruning/README.md | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/tensorflow/contrib/model_pruning/README.md b/tensorflow/contrib/model_pruning/README.md index 15d95896d9..b313024e28 100644 --- a/tensorflow/contrib/model_pruning/README.md +++ b/tensorflow/contrib/model_pruning/README.md @@ -62,6 +62,7 @@ The pruning library allows for specification of the following hyper parameters: | sparsity_function_begin_step | integer | 0 | The global step at this which the gradual sparsity function begins to take effect | | sparsity_function_end_step | integer | 100 | The global step used as the end point for the gradual sparsity function | | sparsity_function_exponent | float | 3.0 | exponent = 1 is linearly varying sparsity between initial and final. exponent > 1 varies more slowly towards the end than the beginning | +| use_tpu | bool | False | Training using TPUs? | The sparsity $$s_t$$ at global step $$t$$ is given by: |