Update example notebook

Author: shadeMe

examples/00_intro_to_thinc.ipynb

@@ -44,9 +44,9 @@
    },
    "outputs": [],
    "source": [
-    "import thinc.util\n",
+    "import thinc.compat\n",
     "# If you want to run this notebook on GPU, you'll need to install cupy.\n",
-    "if not thinc.util.has_cupy:\n",
+    "if not thinc.compat.has_cupy:\n",
     "    !pip install \"cupy-cuda101\""
    ]
   },
@@ -59,11 +59,11 @@
    },
    "outputs": [],
    "source": [
-    "import thinc.util\n",
+    "import thinc.compat\n",
     "# If you want to try out the tensorflow integration, you'll need to install that.\n",
     "# You'll either need to do tensorflow or tensorflow-gpu, depending on your\n",
     "# requirements.\n",
-    "if not thinc.util.has_tensorflow:\n",
+    "if not thinc.compat.has_tensorflow:\n",
     "    !pip install \"tensorflow-gpu>=2\""
    ]
   },
@@ -75,9 +75,9 @@
    },
    "outputs": [],
    "source": [
-    "import thinc.util\n",
+    "import thinc.compat\n",
     "# If you want to try out the PyTorch integration, you'll need to install it.\n",
-    "if not thinc.util.has_torch:\n",
+    "if not thinc.compat.has_torch:\n",
     "    !pip install \"torch\""
    ]
   },
@@ -89,9 +89,9 @@
    },
    "outputs": [],
    "source": [
-    "import thinc.util\n",
+    "import thinc.compat\n",
     "# If you want to try out the MxNet integration, you'll need to install it.\n",
-    "if not thinc.util.has_mxnet:\n",
+    "if not thinc.compat.has_mxnet:\n",
     "    !pip install \"mxnet>=1.5.1,<1.6.0\""
    ]
   },
@@ -117,10 +117,10 @@
    "outputs": [],
    "source": [
     "from thinc.api import prefer_gpu\n",
-    "import thinc.util\n",
+    "import thinc.compat\n",
     "print(\"Thinc GPU?\", prefer_gpu())\n",
     "\n",
-    "if thinc.util.has_tensorflow:\n",
+    "if thinc.compat.has_tensorflow:\n",
     "    import tensorflow as tf\n",
     "    print(\"Tensorflow GPU?\", bool(tf.config.experimental.list_physical_devices('GPU')))"
    ]
@@ -1374,9 +1374,9 @@
    "source": [
     "from mxnet.gluon.nn import Dense, Sequential, Dropout\n",
     "from thinc.api import MXNetWrapper, chain, Softmax\n",
-    "import thinc.util\n",
+    "import thinc.compat\n",
     "\n",
-    "assert thinc.util.has_mxnet\n",
+    "assert thinc.compat.has_mxnet\n",
     "\n",
     "width = 32\n",
     "nO = 10\n",