Add monkey patched fairseq package to run on python 3.11 (what is needed for our use of RVC at least)

modules/voice_conversion/fairseq/data/multilingual/sampling_method.py

@@ -0,0 +1,78 @@
+# Copyright (c) Facebook, Inc. and its affiliates.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+import logging
+from typing import List
+
+
+logger = logging.getLogger(__name__)
+
+
+def uniform(dataset_sizes: List[int]):
+    return [1.0] * len(dataset_sizes)
+
+
+def temperature_sampling(dataset_sizes, temp):
+    total_size = sum(dataset_sizes)
+    return [(size / total_size) ** (1.0 / temp) for size in dataset_sizes]
+
+
+def make_temperature_sampling(temp=1.0):
+    def sampling_func(dataset_sizes):
+        return temperature_sampling(dataset_sizes, temp)
+
+    return sampling_func
+
+
+def make_ratio_sampling(ratios):
+    def sampling_func(dataset_sizes):
+        return ratios
+
+    return sampling_func
+
+
+class SamplingMethod:
+    @staticmethod
+    def add_arguments(parser):
+        parser.add_argument(
+            "--sampling-method",
+            choices=[
+                "uniform",
+                "temperature",
+                "concat",
+                "RoundRobin",
+            ],
+            type=str,
+            default="concat",
+            help="The method to sample data per language pairs",
+        )
+        parser.add_argument(
+            "--sampling-temperature",
+            default=1.5,
+            type=float,
+            help="only work with --sampling-method temperature",
+        )
+
+    @staticmethod
+    def build_sampler(args, task):
+        return SamplingMethod(args, task)
+
+    def __init__(self, args, task):
+        self.args = args
+        self.task = task
+
+    def is_adaptive(self):
+        return False
+
+    def sampling_method_selector(self):
+        args = self.args
+        logger.info(f"selected sampler: {args.sampling_method}")
+        if args.sampling_method == "uniform":
+            return uniform
+        elif args.sampling_method == "temperature" or self.is_adaptive():
+            return make_temperature_sampling(float(args.sampling_temperature))
+        else:
+            # default to concating all data set together
+            return None