Merge branch 'dev' into feature/QuantAvgPool2dNHWC

docs/finn/getting_started.rst

@@ -18,7 +18,7 @@ Requirements
 * A working Vivado 2019.1 installation
 * A `VIVADO_PATH` environment variable pointing to the Vivado installation directory (e.g. the directory where settings64.sh is located)
 * (optional) A PYNQ board with a network connection
-   * the ``bitstring`` package must be installed on the PYNQ: ``sudo pip install bitstring``
+   * the ``bitstring`` package must be installed on the PYNQ: ``sudo pip3 install bitstring``
 
 Running FINN in Docker
 ======================

src/finn/custom_op/fpgadataflow/streamingfclayer_batch.py

@@ -290,12 +290,15 @@ class StreamingFCLayer_Batch(HLSCustomOp):
         return out_width
 
     def get_weightstream_width(self):
-        """Returns weight stream width. Used in decoupled mode."""
-        pe = self.get_nodeattr("PE")
-        simd = self.get_nodeattr("SIMD")
-        wp = self.get_weight_datatype().bitwidth()
-        w_width = pe * simd * wp
-        return w_width
+        """Returns weight stream width. Used only in decoupled mode."""
+        if self.get_nodeattr("mem_mode") == "decoupled":
+            pe = self.get_nodeattr("PE")
+            simd = self.get_nodeattr("SIMD")
+            wp = self.get_weight_datatype().bitwidth()
+            w_width = pe * simd * wp
+            return w_width
+        else:
+            return 0
 
     def get_weightstream_width_padded(self):
         """Returns weight stream width padded to a multiple of 8. This is required

src/finn/custom_op/fpgadataflow/templates.py

@@ -99,6 +99,7 @@ set_top $config_toplevelfxn
 open_solution sol1
 set_part $config_proj_part
 
+config_compile -ignore_long_run_time -disable_unroll_code_size_check
 config_interface -m_axi_addr64
 config_rtl -auto_prefix
 $EXTRA_DIRECTIVES$