commit a41cd4de2af1e43b76a2a33d78eeb2d90a88b757
author Jacob Bohlin <jacob.bohlin@arm.com> Wed Aug 26 18:21:28 2020 +0200
committer tim.hall <tim.hall@arm.com> Thu Aug 27 14:23:03 2020 +0000
tree e7f81ab5fbddca95928e2111fea2f6cff9b75679
parent 2abd3dd75bd3d20e1a3aeaf12362f9872b40fa0a

Small fix for Softmax regression

Signed-off-by: Jacob Bohlin <jacob.bohlin@arm.com>
Change-Id: I287c24725126c169afec779b921e43c3ab26f739

ethosu/vela/graph_optimiser.py

diff --git a/ethosu/vela/graph_optimiser.py b/ethosu/vela/graph_optimiser.py
index 46d26c8..aaccce2 100644
--- a/ethosu/vela/graph_optimiser.py
+++ b/ethosu/vela/graph_optimiser.py
@@ -832,14 +832,14 @@
     return op
 
 
-def add_bias_tensor(op, arch):
-    if ("conv2d" in op.type.lower() or op.type.startswith("FullyConnected")) and not op.inputs[-1]:
-        # Add bias/scale tensor filled with zeros
-        weight_shape = op.inputs[1].shape
-        weight_sets = weight_shape[-1]
-        bias_values = [0] * weight_sets
-        scale_tens = create_const_tensor(op.name + "_bias", [weight_sets], DataType.int32, bias_values)
-        op.set_input_tensor(scale_tens, -1)
+def fixup_bias_tensors(op, arch):
+    if op.needs_bias() and not op.inputs[-1]:
+        # Op has no bias, add bias tensor filled with zeros
+        nr_biases = op.inputs[1].shape[-1]
+        bias_values = [0] * nr_biases
+        bias_tensor = create_const_tensor(op.name + "_bias", [nr_biases], DataType.int32, bias_values)
+        bias_tensor.quant_values = bias_tensor.values
+        op.set_input_tensor(bias_tensor, -1)
 
     return op
 
@@ -870,7 +870,7 @@
         fixup_elementwise_with_scalars,
         reorder_depthwise_weights,
         fixup_resizebilinear,
-        add_bias_tensor,
+        fixup_bias_tensors,
         convert_mul_max_to_abs_or_lrelu,
         convert_lrelu,
     ]