diff --git a/tests/end2end/test_end2end_fifosizing.py b/tests/end2end/test_end2end_fifosizing.py
new file mode 100644
index 0000000000000000000000000000000000000000..32662672300d639a4aadf9b7bde0f5a992217b7e
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+++ b/tests/end2end/test_end2end_fifosizing.py
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+# Copyright (c) 2022 Xilinx, Inc.
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+# * Redistributions of source code must retain the above copyright notice, this
+#   list of conditions and the following disclaimer.
+#
+# * Redistributions in binary form must reproduce the above copyright notice,
+#   this list of conditions and the following disclaimer in the documentation
+#   and/or other materials provided with the distribution.
+#
+# * Neither the name of Xilinx nor the names of its
+#   contributors may be used to endorse or promote products derived from
+#   this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+import pkg_resources as pk
+
+import numpy as np
+from qonnx.custom_op.registry import getCustomOp
+
+import finn.builder.build_dataflow as build
+import finn.builder.build_dataflow_config as build_cfg
+from finn.analysis.fpgadataflow.dataflow_performance import dataflow_performance
+from finn.transformation.fpgadataflow.derive_characteristic import DeriveCharacteristic
+from finn.transformation.fpgadataflow.prepare_rtlsim import PrepareRTLSim
+from finn.util.basic import make_build_dir
+
+
+def custom_step_fifosize(model, cfg):
+    # TODO convert to NodeLocalTransformation
+    def accumulate_char_fxn(chrc):
+        p = len(chrc)
+        ret = []
+        for t in range(2 * p):
+            if t == 0:
+                ret.append(chrc[0])
+            else:
+                ret.append(ret[-1] + chrc[t % p])
+        return ret
+
+    # TODO handle chrc for input and output nodes
+    all_act_tensors = [x.name for x in model.graph.value_info]
+    for tensor_nm in all_act_tensors:
+        # generate accumulated characteristic functions
+        prod = getCustomOp(model.find_producer(tensor_nm))
+        prod_chrc = prod.get_nodeattr("io_characteristic")
+        prod_chrc = np.asarray(prod_chrc, dtype=np.uint8).reshape(2, -1)[1]
+        prod_chrc = accumulate_char_fxn(prod_chrc)
+        cons = getCustomOp(model.find_consumer(tensor_nm))
+        cons_chrc = cons.get_nodeattr("io_characteristic")
+        cons_chrc = np.asarray(cons_chrc, dtype=np.uint8).reshape(2, -1)[0]
+        cons_chrc = accumulate_char_fxn(cons_chrc)
+        # TODO find minimum phase shift
+
+    for node in model.graph.node:
+        inst = getCustomOp(node)
+        chrc = inst.get_nodeattr("io_characteristic")
+        chrc = np.asarray(chrc, dtype=np.uint8).reshape(2, -1)
+
+    return model
+
+
+def custom_step_fifocharacterize(model, cfg):
+    model = model.transform(PrepareRTLSim())
+    period = model.analysis(dataflow_performance)["max_cycles"] + 10
+    model = model.transform(DeriveCharacteristic(period))
+    return model
+
+
+def test_end2end_fifosizing():
+    chkpt_name = pk.resource_filename("finn.qnn-data", "build_dataflow/model.onnx")
+    tmp_output_dir = make_build_dir("build_fifosizing_")
+    # tmp_output_dir = "/tmp/finn_dev_maltanar/build_fifosizing_5mt0o6s_"
+    steps = build_cfg.default_build_dataflow_steps
+    steps = steps[:10]
+    steps.append(custom_step_fifocharacterize)
+    # steps.append(custom_step_fifosize)
+    cfg = build_cfg.DataflowBuildConfig(
+        output_dir=tmp_output_dir,
+        auto_fifo_depths=False,
+        target_fps=10000,
+        synth_clk_period_ns=10.0,
+        board="Pynq-Z1",
+        shell_flow_type=build_cfg.ShellFlowType.VIVADO_ZYNQ,
+        generate_outputs=[],
+        steps=steps,
+        default_mem_mode=build_cfg.ComputeEngineMemMode.CONST,
+        start_step="custom_step_fifocharacterize",
+    )
+    build.build_dataflow_cfg(chkpt_name, cfg)