Temporary workaround for QKeras installation

hls4ml/__init__.py

@@ -1,4 +1,34 @@
-from hls4ml import converters, report, utils  # noqa: F401
+# Temporary workaround for QKeras installation requirement, will be removed after 1.0.0
+def maybe_install_qkeras():
+    import subprocess
+    import sys
+
+    QKERAS_PKG_NAME = 'QKeras'
+    # QKERAS_PKG_SOURCE = QKERAS_PKG_NAME
+    QKERAS_PKG_SOURCE = 'qkeras@git+https://github.com/fastmachinelearning/qkeras.git'
+
+    def pip_list():
+        p = subprocess.run([sys.executable, '-m', 'pip', 'list'], check=True, capture_output=True)
+        return p.stdout.decode()
+
+    def pip_install(package):
+        subprocess.check_call([sys.executable, '-m', 'pip', 'install', package])
+
+    all_pkgs = pip_list()
+    if QKERAS_PKG_NAME not in all_pkgs:
+        print('QKeras installation not found, installing one...')
+        pip_install(QKERAS_PKG_SOURCE)
+        print('QKeras installed.')
+
+
+try:
+    maybe_install_qkeras()
+except Exception:
+    print('Could not find QKeras installation, make sure you have QKeras installed.')
+
+# End of workaround
+
+from hls4ml import converters, report, utils  # noqa: F401, E402
 
 try:
     from ._version import version as __version__

setup.cfg

@@ -29,7 +29,6 @@ install_requires =
     pydigitalwavetools==1.1
     pyparsing
     pyyaml
-    qkeras@git+https://github.com/google/qkeras.git
     tabulate
     tensorflow>=2.8.0,<=2.14.1
     tensorflow-model-optimization<=0.7.5