chore: import upstream snapshot with attribution

translate_cache/hypernetworks/__init__.ja.json

@@ -0,0 +1,5 @@
+{
+ "<h2><a href=\"hyper_lstm.html\">HyperLSTM</a></h2>\n": "<h2><a href=\"hyper_lstm.html\">HyperLSTM</a></h2>\n",
+ "A PyTorch implementation/tutorial of HyperLSTM introduced in paper HyperNetworks.": "HyperLSTM\u306ePyTorch\u5b9f\u88c5/\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u306f\u3001\u8ad6\u6587\u306e\u30cf\u30a4\u30d1\u30fc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u7d39\u4ecb\u3055\u308c\u3066\u3044\u307e\u3059\u3002",
+ "HyperNetworks": "\u30cf\u30a4\u30d1\u30fc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af"
+}

translate_cache/hypernetworks/__init__.si.json

@@ -0,0 +1,5 @@
+{
+ "<h2><a href=\"hyper_lstm.html\">HyperLSTM</a></h2>\n": "<h2><a href=\"hyper_lstm.html\">\u0dc4\u0dba\u0dd2\u0db4\u0dbb\u0dca\u0d91\u0dbd\u0dca\u0d91\u0dc3\u0dca\u0da7\u0dd3\u0d91\u0db8\u0dca</a></h2>\n",
+ "A PyTorch implementation/tutorial of HyperLSTM introduced in paper HyperNetworks.": "\u0d9a\u0da9\u0daf\u0dcf\u0dc3\u0dd2 \u0dc4\u0dba\u0dd2\u0db4\u0dbb\u0dca\u0db1\u0dd9\u0da7\u0dca\u0dc0\u0dbb\u0dca\u0d9a\u0dca\u0dc3\u0dca \u0dc4\u0dd2 \u0dc4\u0db3\u0dd4\u0db1\u0dca\u0dc0\u0dcf \u0daf\u0dd3 \u0d87\u0dad\u0dd2 \u0dc4\u0dba\u0dd2\u0db4\u0dbb\u0dca\u0d91\u0dbd\u0dca\u0d91\u0dc3\u0dca\u0da7\u0dd3\u0d91\u0db8\u0dca \u0dc4\u0dd2 \u0db4\u0dba\u0dd2\u0da7\u0ddd\u0da0\u0dca \u0d9a\u0dca\u0dbb\u0dd2\u0dba\u0dcf\u0dad\u0dca\u0db8\u0d9a \u0d9a\u0dd2\u0dbb\u0dd3\u0db8/\u0db1\u0dd2\u0db6\u0db1\u0dca\u0db0\u0db1\u0dba.",
+ "HyperNetworks": "\u0d85\u0db0\u0dd2-\u0da2\u0dcf\u0dbd"
+}

translate_cache/hypernetworks/__init__.zh.json

@@ -0,0 +1,5 @@
+{
+ "<h2><a href=\"hyper_lstm.html\">HyperLSTM</a></h2>\n": "<h2><a href=\"hyper_lstm.html\">HyperLSTM</a></h2>\n",
+ "A PyTorch implementation/tutorial of HyperLSTM introduced in paper HyperNetworks.": "\u8bba\u6587 HyperNetworks \u4e2d\u4ecb\u7ecd\u4e86 HyperLSTM \u7684 PyTorch \u5b9e\u73b0/\u6559\u7a0b\u3002",
+ "HyperNetworks": "\u8d85\u7f51\u7edc"
+}

translate_cache/hypernetworks/experiment.ja.json

@@ -0,0 +1,16 @@
+{
+ "<h2>Auto regressive model</h2>\n": "<h2>\u81ea\u52d5\u56de\u5e30\u30e2\u30c7\u30eb</h2>\n",
+ "<h2>Configurations</h2>\n<p>The default configs can and will be over-ridden when we start the experiment</p>\n": "<h2>\u30b3\u30f3\u30d5\u30a3\u30ae\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3</h2>\n<p>\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u8a2d\u5b9a\u306f\u3001\u5b9f\u9a13\u3092\u958b\u59cb\u3057\u305f\u3068\u304d\u306b\u4e0a\u66f8\u304d\u3067\u304d\u3001\u307e\u305f\u4e0a\u66f8\u304d\u3055\u308c\u307e\u3059\u3002</p>\n",
+ "<p> Initialize the auto-regressive model</p>\n": "<p>\u81ea\u5df1\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u521d\u671f\u5316</p>\n",
+ "<p><span translate=no>_^_0_^_</span> </p>\n": "<p><span translate=no>_^_0_^_</span></p>\n",
+ "<p>A dictionary of configurations to override </p>\n": "<p>\u30aa\u30fc\u30d0\u30fc\u30e9\u30a4\u30c9\u3059\u308b\u8a2d\u5b9a\u306e\u8f9e\u66f8</p>\n",
+ "<p>Create configs </p>\n": "<p>\u30b3\u30f3\u30d5\u30a3\u30b0\u306e\u4f5c\u6210</p>\n",
+ "<p>Create experiment </p>\n": "<p>\u5b9f\u9a13\u3092\u4f5c\u6210</p>\n",
+ "<p>Embed the tokens (<span translate=no>_^_0_^_</span>) and run it through the the transformer </p>\n": "<p>\u30c8\u30fc\u30af\u30f3 (<span translate=no>_^_0_^_</span>) \u3092\u57cb\u3081\u8fbc\u307f\u3001\u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30de\u30fc\u306b\u901a\u3057\u307e\u3059</p>\n",
+ "<p>Generate logits of the next token </p>\n": "<p>\u6b21\u306e\u30c8\u30fc\u30af\u30f3\u306e\u30ed\u30b8\u30c3\u30c8\u3092\u751f\u6210</p>\n",
+ "<p>Load configurations </p>\n": "<p>\u69cb\u6210\u3092\u30ed\u30fc\u30c9</p>\n",
+ "<p>Set models for saving and loading </p>\n": "<p>\u4fdd\u5b58\u304a\u3088\u3073\u8aad\u307f\u8fbc\u307f\u7528\u306e\u30e2\u30c7\u30eb\u3092\u8a2d\u5b9a\u3059\u308b</p>\n",
+ "<p>Start the experiment </p>\n": "<p>\u5b9f\u9a13\u3092\u59cb\u3081\u308b</p>\n",
+ "<p>Token embedding module </p>\n": "<p>\u30c8\u30fc\u30af\u30f3\u57cb\u3081\u8fbc\u307f\u30e2\u30b8\u30e5\u30fc\u30eb</p>\n",
+ "experiment.py": "experiment.py"
+}

translate_cache/hypernetworks/experiment.si.json

@@ -0,0 +1,16 @@
+{
+ "<h2>Auto regressive model</h2>\n": "<h2>\u0dc3\u0dca\u0dc0\u0dba\u0d82\u0d9a\u0dca\u0dbb\u0dd3\u0dba\u0db4\u0dca\u0dbb\u0dad\u0dd2\u0d9c\u0dcf\u0db8\u0dd3 \u0d86\u0d9a\u0dd8\u0dad\u0dd2\u0dba</h2>\n",
+ "<h2>Configurations</h2>\n<p>The default configs can and will be over-ridden when we start the experiment</p>\n": "<h2>\u0dc0\u0dd2\u0db1\u0dca\u0dba\u0dcf\u0dc3\u0d9a\u0dd2\u0dbb\u0dd3\u0db8\u0dca</h2>\n<p>\u0d85\u0db4\u0dd2\u0d85\u0dad\u0dca\u0dc4\u0daf\u0dcf \u0db6\u0dd0\u0dbd\u0dd3\u0db8 \u0d86\u0dbb\u0db8\u0dca\u0db7 \u0d9a\u0dbb\u0db1 \u0dc0\u0dd2\u0da7 \u0db4\u0dd9\u0dbb\u0db1\u0dd2\u0db8\u0dd2 \u0dc0\u0dd2\u0db1\u0dca\u0dba\u0dcf\u0dc3 \u0d9a\u0dc5 \u0dc4\u0dd0\u0d9a\u0dd2 \u0d85\u0dad\u0dbb \u0d91\u0dba \u0d85\u0db0\u0dd2\u0d9a \u0dbd\u0dd9\u0dc3 \u0db0\u0dcf\u0dc0\u0db1\u0dba \u0dc0\u0db1\u0dd4 \u0d87\u0dad</p>\n",
+ "<p> Initialize the auto-regressive model</p>\n": "<p> \u0dc3\u0dca\u0dc0\u0dba\u0d82\u0d9a\u0dca\u0dbb\u0dd3\u0dba\u0db4\u0dca\u0dbb\u0dad\u0dd2\u0d9c\u0dcf\u0db8\u0dd3 \u0d86\u0d9a\u0dd8\u0dad\u0dd2\u0dba \u0d86\u0dbb\u0db8\u0dca\u0db7 \u0d9a\u0dbb\u0db1\u0dca\u0db1</p>\n",
+ "<p><span translate=no>_^_0_^_</span> </p>\n": "<p><span translate=no>_^_0_^_</span> </p>\n",
+ "<p>A dictionary of configurations to override </p>\n": "<p>\u0d85\u0db7\u0dd2\u0db6\u0dc0\u0dcf\u0dba\u0dcf\u0db8 \u0dc3\u0db3\u0dc4\u0dcf \u0dc0\u0dd2\u0db1\u0dca\u0dba\u0dcf\u0dc3\u0dba\u0db1\u0dca \u0db4\u0dd2\u0dc5\u0dd2\u0db6\u0db3 \u0dc1\u0db6\u0dca\u0daf\u0d9a\u0ddd\u0dc2\u0dba\u0d9a\u0dca </p>\n",
+ "<p>Create configs </p>\n": "<p>\u0dc0\u0dd2\u0db1\u0dca\u0dba\u0dcf\u0dc3\u0dc3\u0dcf\u0daf\u0db1\u0dca\u0db1 </p>\n",
+ "<p>Create experiment </p>\n": "<p>\u0d85\u0dad\u0dca\u0dc4\u0daf\u0dcf\u0db6\u0dd0\u0dbd\u0dd3\u0db8 \u0dc3\u0dcf\u0daf\u0db1\u0dca\u0db1 </p>\n",
+ "<p>Embed the tokens (<span translate=no>_^_0_^_</span>) and run it through the the transformer </p>\n": "<p>\u0da7\u0ddd\u0d9a\u0db1\u0d9a\u0dcf\u0dc0\u0dd0\u0daf\u0dca\u0daf\u0dd3\u0db8 (<span translate=no>_^_0_^_</span>) \u0dc3\u0dc4 \u0da7\u0dca\u0dbb\u0dcf\u0db1\u0dca\u0dc3\u0dca\u0dc6\u0ddd\u0db8\u0dbb\u0dba \u0dc4\u0dbb\u0dc4\u0dcf \u0d91\u0dba \u0d9a\u0dca\u0dbb\u0dd2\u0dba\u0dcf\u0dad\u0dca\u0db8\u0d9a \u0d9a\u0dbb\u0db1\u0dca\u0db1 </p>\n",
+ "<p>Generate logits of the next token </p>\n": "<p>\u0d8a\u0dc5\u0d9f\u0da7\u0ddd\u0d9a\u0db1\u0dba\u0dda \u0db4\u0dd2\u0dc0\u0dd2\u0dc3\u0dd4\u0db8\u0dca \u0da2\u0db1\u0db1\u0dba \u0d9a\u0dbb\u0db1\u0dca\u0db1 </p>\n",
+ "<p>Load configurations </p>\n": "<p>\u0dc0\u0dd2\u0db1\u0dca\u0dba\u0dcf\u0dc3\u0dba\u0db1\u0dca\u0db4\u0dd6\u0dbb\u0dab\u0dba \u0d9a\u0dbb\u0db1\u0dca\u0db1 </p>\n",
+ "<p>Set models for saving and loading </p>\n": "<p>\u0d89\u0dad\u0dd2\u0dbb\u0dd2\u0d9a\u0dd2\u0dbb\u0dd3\u0db8 \u0dc3\u0dc4 \u0db4\u0dd0\u0da7\u0dc0\u0dd3\u0db8 \u0dc3\u0db3\u0dc4\u0dcf \u0d86\u0d9a\u0dd8\u0dad\u0dd2 \u0dc3\u0d9a\u0dc3\u0db1\u0dca\u0db1 </p>\n",
+ "<p>Start the experiment </p>\n": "<p>\u0d85\u0dad\u0dca\u0dc4\u0daf\u0dcf\u0db6\u0dd0\u0dbd\u0dd3\u0db8 \u0d86\u0dbb\u0db8\u0dca\u0db7 \u0d9a\u0dbb\u0db1\u0dca\u0db1 </p>\n",
+ "<p>Token embedding module </p>\n": "<p>\u0da7\u0ddd\u0d9a\u0db1\u0dca\u0d9a\u0dcf\u0dc0\u0dd0\u0daf\u0dca\u0daf\u0dd3\u0db8 \u0db8\u0ddc\u0da9\u0dd2\u0dba\u0dd4\u0dbd\u0dba </p>\n",
+ "experiment.py": "experiment.py"
+}

translate_cache/hypernetworks/experiment.zh.json

@@ -0,0 +1,16 @@
+{
+ "<h2>Auto regressive model</h2>\n": "<h2>\u81ea\u52a8\u56de\u5f52\u6a21\u578b</h2>\n",
+ "<h2>Configurations</h2>\n<p>The default configs can and will be over-ridden when we start the experiment</p>\n": "<h2>\u914d\u7f6e</h2>\n<p>\u5f53\u6211\u4eec\u5f00\u59cb\u5b9e\u9a8c\u65f6\uff0c\u9ed8\u8ba4\u914d\u7f6e\u53ef\u4ee5\u800c\u4e14\u5c06\u4f1a\u88ab\u8986\u76d6</p>\n",
+ "<p> Initialize the auto-regressive model</p>\n": "<p>\u521d\u59cb\u5316\u81ea\u56de\u5f52\u6a21\u578b</p>\n",
+ "<p><span translate=no>_^_0_^_</span> </p>\n": "<p><span translate=no>_^_0_^_</span></p>\n",
+ "<p>A dictionary of configurations to override </p>\n": "<p>\u8981\u8986\u76d6\u7684\u914d\u7f6e\u5b57\u5178</p>\n",
+ "<p>Create configs </p>\n": "<p>\u521b\u5efa\u914d\u7f6e</p>\n",
+ "<p>Create experiment </p>\n": "<p>\u521b\u5efa\u5b9e\u9a8c</p>\n",
+ "<p>Embed the tokens (<span translate=no>_^_0_^_</span>) and run it through the the transformer </p>\n": "<p>\u5d4c\u5165\u4ee4\u724c (<span translate=no>_^_0_^_</span>) \u5e76\u901a\u8fc7\u53d8\u538b\u5668\u8fd0\u884c\u5b83</p>\n",
+ "<p>Generate logits of the next token </p>\n": "<p>\u751f\u6210\u4e0b\u4e00\u4e2a\u4ee4\u724c\u7684\u65e5\u5fd7</p>\n",
+ "<p>Load configurations </p>\n": "<p>\u88c5\u8f7d\u914d\u7f6e</p>\n",
+ "<p>Set models for saving and loading </p>\n": "<p>\u8bbe\u7f6e\u7528\u4e8e\u4fdd\u5b58\u548c\u52a0\u8f7d\u7684\u6a21\u578b</p>\n",
+ "<p>Start the experiment </p>\n": "<p>\u5f00\u59cb\u5b9e\u9a8c</p>\n",
+ "<p>Token embedding module </p>\n": "<p>\u4ee4\u724c\u5d4c\u5165\u6a21\u5757</p>\n",
+ "experiment.py": "experiment.py"
+}