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Remove usages of apply_rng=True from Haiku code.

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This change is a no-op, `apply_rng=True` is the default value and for the last
year True has been the only accepted value for apply_rng. We intend to remove
this argument from Haiku in an upcoming change.

PiperOrigin-RevId: 413426614
This commit is contained in:
Tom Hennigan
2021-12-01 16:46:33 +00:00
committed by Diego de Las Casas
parent 601f12ba12
commit 03be2142f9
1 changed files with 3 additions and 3 deletions
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himo/himo_example.ipynb
+3 -3
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@@ -402,7 +402,7 @@
"\n",
" loss = jnp.mean((v_pred - r)**2)\n",
" return loss, (loss,)\n",
" return hk.transform(loss_fn, apply_rng=True)\n",
" return hk.transform(loss_fn)\n",
"\n",
"\n",
"def vnet_himo_loss(hidden_size, phi_size, model_loss_weight=3.0):\n",
@@ -420,7 +420,7 @@
" loss = v_loss + v_hind_loss + model_loss_weight * model_loss\n",
" return loss, (v_loss, v_hind_loss, model_loss)\n",
"\n",
" return hk.transform(loss_fn, apply_rng=True)\n",
" return hk.transform(loss_fn)\n",
"\n",
"\n",
"def vnet_model_loss(hidden_size, model_loss_weight=3.0):\n",
@@ -439,7 +439,7 @@
"\n",
" return loss, (test_v_loss, train_v_loss, model_loss)\n",
"\n",
" return hk.transform(loss_fn, apply_rng=True)"
" return hk.transform(loss_fn)"
]
},
{