remove comments on flow step

Author: Lukas Stasytis

src/finn/builder/build_dataflow_steps.py

@@ -554,18 +554,14 @@ def step_set_fifo_depths(model: ModelWrapper, cfg: DataflowBuildConfig):
     Coherency with config file node naming is ensured by calling
     `GiveUniqueNodeNames`.
     """
-    print("sizing")
-    print(cfg.auto_fifo_depths)
-    print(cfg.auto_fifo_strategy)
+
     if cfg.auto_fifo_depths:
         if cfg.auto_fifo_strategy == "analytical":
             model = model.transform(InsertDWC())
             model = model.transform(SpecializeLayers(cfg._resolve_fpga_part()))
             model = model.transform(GiveUniqueNodeNames())
             model = model.transform(AnnotateCycles())
 
-            print("tav gen strat:", cfg.tav_generation_strategy)
-
             for node in model.graph.node:
                 inst = registry.getCustomOp(node)
                 if (is_hls_node(node) or is_rtl_node(node)) and (
@@ -576,8 +572,6 @@ def step_set_fifo_depths(model: ModelWrapper, cfg: DataflowBuildConfig):
                         node, model, cfg._resolve_fpga_part(), cfg._resolve_hls_clk_period()
                     )
 
-                    print("codegened the node")
-
                     op_type = node.op_type
                     if is_hls_node(node):
                         try:
@@ -594,8 +588,6 @@ def step_set_fifo_depths(model: ModelWrapper, cfg: DataflowBuildConfig):
                             ):
                                 # call the compilation function for this node
                                 inst.ipgen_singlenode_code()
-
-                                print("ipgen the node")
                             else:
                                 warnings.warn("Using pre-existing IP for %s" % node.name)
                             # ensure that executable path is now set
@@ -702,7 +694,6 @@ def step_set_fifo_depths(model: ModelWrapper, cfg: DataflowBuildConfig):
             model = model.transform(SpecializeLayers(cfg._resolve_fpga_part()))
             model = model.transform(GiveUniqueNodeNames())
             model = model.transform(GiveReadableTensorNames())
-            import pdb; breakpoint()
             if cfg.default_swg_exception:
                 model = model.transform(CapConvolutionFIFODepths(max_qsrl_depth=256))