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Peaky8linders · Jan 6, 2021 · a0ab7e0 · a0ab7e0
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -2,6 +2,27 @@
 
 <!-- do not remove -->
 
+## 2.2.0
+### Breaking Changes
+
+- Promote `NativeMixedPrecision` to default `MixedPrecision` (and similar for `Learner.to_fp16`); old `MixedPrecision` is now called `NonNativeMixedPrecision` ([#3127](https://github.com/fastai/fastai/issues/3127))
+  - Use the new `GradientClip` callback instead of the `clip` parameter to use gradient clipping
+- Adding a `Callback` which has the same name as an attribute no longer raises an exception ([#3109](https://github.com/fastai/fastai/issues/3109))
+- RNN training now requires `RNNCallback`, but does not require `RNNRegularizer`; `out` and `raw_out` have moved to `RNNRegularizer` ([#3108](https://github.com/fastai/fastai/issues/3108))
+  - Call `rnn_cbs` to get all callbacks needed for RNN training, optionally with regularization
+- replace callback `run_after` with `order`; do not run `after` cbs on exception ([#3101](https://github.com/fastai/fastai/issues/3101))
+
+### New Features
+
+- Add `GradientClip` callback ([#3107](https://github.com/fastai/fastai/issues/3107))
+- Make `Flatten` cast to `TensorBase` to simplify type compatibility ([#3106](https://github.com/fastai/fastai/issues/3106))
+- make flattened metrics compatible with all tensor subclasses ([#3105](https://github.com/fastai/fastai/issues/3105))
+- New class method `TensorBase.register_func` to register types for `__torch_function__` ([#3097](https://github.com/fastai/fastai/issues/3097))
+- new `dynamic` flag for controlling dynamic loss scaling in `NativeMixedPrecision` ([#3096](https://github.com/fastai/fastai/issues/3096))
+- remove need to call `to_native_fp32` before `predict`; set `skipped` in NativeMixedPrecision after NaN from dynamic loss scaling ([#3095](https://github.com/fastai/fastai/issues/3095))
+- make native fp16 extensible with callbacks ([#3094](https://github.com/fastai/fastai/issues/3094))
+
+
 ## 2.1.10
 
 ### New Features

diff --git a/nbs/examples/app_examples.ipynb b/nbs/examples/app_examples.ipynb
@@ -370,7 +370,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/jhoward/anaconda3/lib/python3.7/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
+      "/home/jhoward/mambaforge/lib/python3.8/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
       "  return array(a, dtype, copy=False, order=order)\n"
      ]
     }
@@ -404,10 +404,10 @@
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        "      <td>0</td>\n",
-       "      <td>0.743958</td>\n",
-       "      <td>0.617746</td>\n",
-       "      <td>0.720000</td>\n",
-       "      <td>00:04</td>\n",
+       "      <td>0.634987</td>\n",
+       "      <td>0.621853</td>\n",
+       "      <td>0.705000</td>\n",
+       "      <td>00:03</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>"
@@ -435,31 +435,31 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <td>0</td>\n",
-       "      <td>0.570559</td>\n",
-       "      <td>0.557726</td>\n",
-       "      <td>0.730000</td>\n",
-       "      <td>00:06</td>\n",
+       "      <td>0.435843</td>\n",
+       "      <td>0.508709</td>\n",
+       "      <td>0.805000</td>\n",
+       "      <td>00:05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>1</td>\n",
-       "      <td>0.490613</td>\n",
-       "      <td>0.512760</td>\n",
-       "      <td>0.775000</td>\n",
-       "      <td>00:06</td>\n",
+       "      <td>0.386479</td>\n",
+       "      <td>0.446490</td>\n",
+       "      <td>0.790000</td>\n",
+       "      <td>00:05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>2</td>\n",
-       "      <td>0.419650</td>\n",
-       "      <td>0.440138</td>\n",
-       "      <td>0.775000</td>\n",
-       "      <td>00:06</td>\n",
+       "      <td>0.320961</td>\n",
+       "      <td>0.522036</td>\n",
+       "      <td>0.770000</td>\n",
+       "      <td>00:05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>3</td>\n",
-       "      <td>0.350080</td>\n",
-       "      <td>0.443032</td>\n",
+       "      <td>0.267238</td>\n",
+       "      <td>0.572048</td>\n",
        "      <td>0.785000</td>\n",
-       "      <td>00:06</td>\n",
+       "      <td>00:05</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>"
@@ -502,7 +502,7 @@
     {
      "data": {
       "text/plain": [
-       "('positive', tensor(1), tensor([7.0108e-04, 9.9930e-01]))"
+       "('positive', tensor(1), tensor([1.3686e-05, 9.9999e-01]))"
       ]
      },
      "execution_count": null,