Add s2s-ft to generate_conda_file.py

examples/text_summarization/abstractive_summarization_unilm_cnndm.ipynb

@@ -32,22 +32,6 @@
     "QUICK_RUN = True"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Manually install the s2s-ft package from the [UniLM repo](https://github.com/microsoft/unilm) by running the following commands in your bash shell.  \n",
-    "(We are working on making the s2s-ft package available on PyPI and this step will not be necessary in the future. )\n",
-    "\n",
-    "```\n",
-    "conda activate nlp_gpu\n",
-    "git clone https://github.com/microsoft/unilm.git\n",
-    "git checkout 7f931fcfb965bf60f0fbe2ddd37798f356e6ee5e\n",
-    "cd unilm/s2s-ft\n",
-    "pip install -e .\n",
-    "```"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

tests/integration/test_notebooks_unilm_abstractive_summarization.py

@@ -11,10 +11,6 @@ ABS_TOL = 0.02
 
 @pytest.mark.gpu
 @pytest.mark.integration
-@pytest.mark.skip(
-    reason="s2s-ft not available on PYPI and can not be included in "
-    "generate_conda_file.py"
-)
 def test_unilm_abstractive_summarization(notebooks, tmp):
     notebook_path = notebooks["unilm_abstractive_summarization"]
     pm.execute_notebook(

tools/generate_conda_file.py

@@ -96,6 +96,8 @@ PIP_BASE = {
     "Cython": "Cython>=0.29.13",
     "googledrivedownloader": "googledrivedownloader>=0.4",
     "methodtools": "methodtools",
+    "s2s-ft": "-e git+https://github.com/microsoft/unilm.git"
+    "@7f931fcfb965bf60f0fbe2ddd37798f356e6ee5e#egg=s2s-ft&subdirectory=s2s-ft",
 }
 
 PIP_GPU = {}