Merge pull request #31 from iksnagreb/fix/lookup

[Lookup] Relax input datatype constraints

Author: fpjentzsch

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

@@ -133,10 +133,18 @@ def execute_node(self, context, graph):
         elif mode == "rtlsim":
             code_gen_dir = self.get_nodeattr("code_gen_dir_ipgen")
             # create a npy file for the input of the node
-            assert (
-                str(inp.dtype) == "float32"
-            ), """Input datatype is
-                not float32 as expected."""
+
+            # 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)
+
             expected_inp_shape = self.get_folded_input_shape()
             reshaped_input = inp.reshape(expected_inp_shape)
             if DataType[self.get_nodeattr("dataType")] == DataType["BIPOLAR"]: