[Lookup] Reintroduce prior assertion as warning and fix type comparison

src/finn/custom_op/fpgadataflow/hls/lookup_hls.py

@@ -28,6 +28,7 @@
 
 import numpy as np
 import os
+import warnings
 from math import ceil, log2
 from qonnx.core.datatype import DataType
 
@@ -273,7 +274,18 @@ def execute_node(self, context, graph):
             )
 
         inp = context[node.input[0]]
-        # assert inp.dtype == np.int64, "Inputs must be contained in int64 ndarray"
+
+        # Make sure the input has the right container datatype
+        if inp.dtype is not np.float32:
+            # Issue a warning to make the user aware of this type-cast
+            warnings.warn(
+                f"{node.name}: Changing input container datatype from "
+                f"{inp.dtype} to {np.float32}"
+            )
+            # Convert the input to floating point representation as the
+            # container datatype
+            inp = inp.astype(np.float32)
+
         assert inp.shape == exp_ishape, """Input shape doesn't match expected shape."""
         export_idt = self.get_input_datatype()
         odt = self.get_output_datatype()

src/finn/custom_op/fpgadataflow/rtl/streamingfifo_rtl.py

@@ -134,11 +134,11 @@ def execute_node(self, context, graph):
             code_gen_dir = self.get_nodeattr("code_gen_dir_ipgen")
             # create a npy file for the input of the node
 
-            # Make sure the inpout has the right container datatype
-            if inp.dtype != np.float32:
+            # Make sure the input has the right container datatype
+            if inp.dtype is not np.float32:
                 # Issue a warning to make the user aware of this type-cast
                 warnings.warn(
-                    f"{node.name}: Changing input datatype from "
+                    f"{node.name}: Changing input container datatype from "
                     f"{inp.dtype} to {np.float32}"
                 )
                 # Convert the input to floating point representation as the