add reuse flag to weights quantizers, change workflow to mctq nightly

Author: eladco

.github/workflows/nightly.yml

@@ -36,3 +36,7 @@ jobs:
           pip install mct-nightly tensorflow torch
           version=$(python -c 'import model_compression_toolkit; print(model_compression_toolkit.__version__)')
           echo $version
+# Install mct-quantizers-nightly
+          pip list 
+          [ "$(pip list | grep mct-quantizers-nightly | wc -l)" = "1" ] || (echo "not one line" && exit 1)
+

model_compression_toolkit/exporter/model_wrapper/pytorch/builder/fully_quantized_model_builder.py

@@ -45,6 +45,10 @@ def fully_quantized_wrapper(node: common.BaseNode,
         """
         weight_quantizers, _ = fw_impl.get_inferable_quantizers(node)
         if len(weight_quantizers) > 0:
+            # Set reuse for weight quantizers if node is reused
+            for _, quantizer in weight_quantizers.items():
+                if node.reuse_group:
+                    quantizer.enable_reuse_quantizer()
             # for positional weights we need to extract the weight's value.
             weights_values = {attr: fw_impl.to_tensor(node.get_weights_by_keys(attr))
                               for attr in weight_quantizers if isinstance(attr, int)}