Re-setting numpy random seed to zero on every explain request

components/alibi-explain-server/alibiexplainer/anchor_images.py

@@ -25,7 +25,11 @@
 import numpy as np
 from alibi.api.interfaces import Explanation
 
-from alibiexplainer.constants import SELDON_LOGLEVEL
+from alibiexplainer.constants import (
+    EXPLAIN_RANDOM_SEED,
+    EXPLAIN_RANDOM_SEED_VALUE,
+    SELDON_LOGLEVEL,
+)
 from alibiexplainer.explainer_wrapper import ExplainerWrapper
 
 logging.basicConfig(level=SELDON_LOGLEVEL)
@@ -38,9 +42,13 @@ def __init__(
         if explainer is None:
             raise Exception("Anchor images requires a built explainer")
         self.anchors_image = explainer
+        if EXPLAIN_RANDOM_SEED == "True" and EXPLAIN_RANDOM_SEED_VALUE.isdigit():
+            self.seed = int(EXPLAIN_RANDOM_SEED_VALUE)
         self.kwargs = kwargs
 
     def explain(self, inputs: List) -> Explanation:
+        if self.seed:
+            np.random.seed(self.seed)
         arr = np.array(inputs)
         logging.info("Calling explain on image of shape %s", (arr.shape,))
         logging.info("anchor image call with %s", self.kwargs)

components/alibi-explain-server/alibiexplainer/anchor_tabular.py

@@ -25,7 +25,11 @@
 import numpy as np
 from alibi.api.interfaces import Explanation
 
-from alibiexplainer.constants import SELDON_LOGLEVEL
+from alibiexplainer.constants import (
+    EXPLAIN_RANDOM_SEED,
+    EXPLAIN_RANDOM_SEED_VALUE,
+    SELDON_LOGLEVEL,
+)
 from alibiexplainer.explainer_wrapper import ExplainerWrapper
 
 logging.basicConfig(level=SELDON_LOGLEVEL)
@@ -37,9 +41,13 @@ def __init__(self, explainer=Optional[alibi.explainers.AnchorTabular], **kwargs)
             raise Exception("Anchor images requires a built explainer")
         self.anchors_tabular: alibi.explainers.AnchorTabular = explainer
         self.anchors_tabular = explainer
+        if EXPLAIN_RANDOM_SEED == "True" and EXPLAIN_RANDOM_SEED_VALUE.isdigit():
+            self.seed = int(EXPLAIN_RANDOM_SEED_VALUE)
         self.kwargs = kwargs
 
     def explain(self, inputs: List) -> Explanation:
+        if self.seed:
+            np.random.seed(self.seed)
         arr = np.array(inputs)
         # We assume the input has batch dimension
         # but Alibi explainers presently assume no batch

components/alibi-explain-server/alibiexplainer/anchor_text.py

@@ -22,11 +22,16 @@
 from typing import Callable, List, Optional
 
 import alibi
+import numpy as np
 import spacy
 from alibi.api.interfaces import Explanation
 from alibi.utils.download import spacy_model
 
-from alibiexplainer.constants import SELDON_LOGLEVEL
+from alibiexplainer.constants import (
+    EXPLAIN_RANDOM_SEED,
+    EXPLAIN_RANDOM_SEED_VALUE,
+    SELDON_LOGLEVEL,
+)
 from alibiexplainer.explainer_wrapper import ExplainerWrapper
 
 logging.basicConfig(level=SELDON_LOGLEVEL)
@@ -41,6 +46,8 @@ def __init__(
         **kwargs
     ):
         self.predict_fn = predict_fn
+        if EXPLAIN_RANDOM_SEED == "True" and EXPLAIN_RANDOM_SEED_VALUE.isdigit():
+            self.seed = int(EXPLAIN_RANDOM_SEED_VALUE)
         self.kwargs = kwargs
         logging.info("Anchor Text args %s", self.kwargs)
         if explainer is None:
@@ -55,5 +62,7 @@ def __init__(
             self.anchors_text = explainer
 
     def explain(self, inputs: List) -> Explanation:
+        if self.seed:
+            np.random.seed(self.seed)
         anchor_exp = self.anchors_text.explain(inputs[0], **self.kwargs)
         return anchor_exp

components/alibi-explain-server/alibiexplainer/constants.py

@@ -1,3 +1,5 @@
 import os
 
 SELDON_LOGLEVEL = os.environ.get("SELDON_LOGLEVEL", "INFO").upper()
+EXPLAIN_RANDOM_SEED = os.environ.get("EXPLAIN_RANDOM_SEED", "True")
+EXPLAIN_RANDOM_SEED_VALUE = os.environ.get("EXPLAIN_RANDOM_SEED_VALUE", 0)