diff --git a/src/finn/core/remote_exec.py b/src/finn/core/remote_exec.py
index ee07201315db23a9a1f8d0b7f1392d99517a8b63..2e139065ec0eff8cdbdb402f80113b039deed4da 100644
--- a/src/finn/core/remote_exec.py
+++ b/src/finn/core/remote_exec.py
@@ -44,7 +44,7 @@ def remote_exec(model, execution_context):
pynq_target_dir = model.get_metadata_prop("pynq_target_dir")
deployment_dir = model.get_metadata_prop("pynq_deploy_dir")
platform = model.get_metadata_prop("platform")
- assert platform in ["alveo", "zynq", "zynq-iodma"]
+ assert platform in ["alveo", "zynq-iodma"]
bitfile = model.get_metadata_prop("bitfile")
bitfile = os.path.basename(bitfile)
if pynq_password == "":
diff --git a/src/finn/core/throughput_test.py b/src/finn/core/throughput_test.py
index 77c7b6c00179343048c52494fbffacd4c7447d7f..1306edfa23a9b25de41d0592796b4a03ad4e6508 100644
--- a/src/finn/core/throughput_test.py
+++ b/src/finn/core/throughput_test.py
@@ -49,7 +49,7 @@ def throughput_test_remote(model, batchsize=1000):
# extracting last folder of absolute path (deployment_dir)
deployment_folder = os.path.basename(os.path.normpath(deployment_dir))
platform = model.get_metadata_prop("platform")
- assert platform in ["alveo", "zynq", "zynq-iodma"]
+ assert platform in ["alveo", "zynq-iodma"]
bitfile = model.get_metadata_prop("bitfile")
bitfile = os.path.basename(bitfile)
if pynq_password == "":
diff --git a/src/finn/transformation/fpgadataflow/make_pynq_driver.py b/src/finn/transformation/fpgadataflow/make_pynq_driver.py
index fc326b4a25a9784f3919b4246ec2b8f54fb881f4..0e50213ee6feee5f45c18f87cb31a5faf5fb1c50 100644
--- a/src/finn/transformation/fpgadataflow/make_pynq_driver.py
+++ b/src/finn/transformation/fpgadataflow/make_pynq_driver.py
@@ -28,7 +28,6 @@
import shutil
-from finn.custom_op.registry import getCustomOp
from finn.transformation import Transformation
from finn.util.basic import gen_finn_dt_tensor, get_finn_root, make_build_dir
from finn.util.data_packing import finnpy_to_packed_bytearray
@@ -41,7 +40,7 @@ class MakePYNQDriver(Transformation):
accelerator, including data packing/unpacking. The MakePYNQProject
transformation must have been already applied.
- platform: one of ["zynq", "zynq-iodma", "alveo"]
+ platform: one of ["zynq-iodma", "alveo"]
Outcome if successful: sets the pynq_driver_dir attribute in the ONNX
ModelProto's metadata_props field, with the created driver dir as the
@@ -65,20 +64,15 @@ class MakePYNQDriver(Transformation):
o_tensor_shape_normal = tuple(model.get_tensor_shape(o_tensor_name))
i_tensor_dt = model.get_tensor_datatype(i_tensor_name)
o_tensor_dt = model.get_tensor_datatype(o_tensor_name)
- # handle folded i/o shapes due to differences in DMA engines
- if self.platform == "zynq":
- # extract HLSCustomOp instances to get folded i/o shapes
- first_node = getCustomOp(model.find_consumer(i_tensor_name))
- last_node = getCustomOp(model.find_producer(o_tensor_name))
- i_tensor_shape_folded = tuple(first_node.get_folded_input_shape())
- o_tensor_shape_folded = tuple(last_node.get_folded_output_shape())
- else:
- i_tensor_shape_folded = list(i_tensor_shape_normal)
- i_tensor_shape_folded.insert(-1, 1)
- i_tensor_shape_folded = tuple(i_tensor_shape_folded)
- o_tensor_shape_folded = list(o_tensor_shape_normal)
- o_tensor_shape_folded.insert(-1, 1)
- o_tensor_shape_folded = tuple(o_tensor_shape_folded)
+ # folded shapes for i/o simply derived from regular tensor shapes
+ # this used to be extracted from first/last node folded shapes, but
+ # can't do this anymore due to IODMAs
+ i_tensor_shape_folded = list(i_tensor_shape_normal)
+ i_tensor_shape_folded.insert(-1, 1)
+ i_tensor_shape_folded = tuple(i_tensor_shape_folded)
+ o_tensor_shape_folded = list(o_tensor_shape_normal)
+ o_tensor_shape_folded.insert(-1, 1)
+ o_tensor_shape_folded = tuple(o_tensor_shape_folded)
# generate dummy folded i/o tensors and their packed versions
i_tensor_dummy_folded = gen_finn_dt_tensor(i_tensor_dt, i_tensor_shape_folded)
diff --git a/src/finn/transformation/fpgadataflow/templates.py b/src/finn/transformation/fpgadataflow/templates.py
index d22cd031546bcfd836c859ad45c9c483a05a96af..66580c70d23a2d2b19bfe8d94fefcd39a3208bcb 100644
--- a/src/finn/transformation/fpgadataflow/templates.py
+++ b/src/finn/transformation/fpgadataflow/templates.py
@@ -126,18 +126,7 @@ class FINNAccelDriver():
self.itersPerSample = self.oshape_packed[-2]
# clock frequency as specified by user
self.fclk_mhz = $CLOCK_FREQ_MHZ$
- if self.platform == "zynq":
- # set the clock frequency as specified by user during transformations
- if self.fclk_mhz > 0:
- Clocks.$CLK_NAME$ = self.fclk_mhz
- self.dma = self.ol.axi_dma_0
- self.ctrl_regs = self.ol.resize_accel_0
- # AXI lite register offset for number of iterations
- # used by TLastMarker to signal end of transmission for AXI CDMA
- self.REG_OFFSET_NUM_ITERS = 0x10
- # set up TLastMarker with correct num. samples
- self.ctrl_regs.write(self.REG_OFFSET_NUM_ITERS, self.N*self.itersPerSample)
- elif self.platform == "alveo":
+ if self.platform == "alveo":
self.idma = self.ol.idma0
self.odma = self.ol.odma0
elif self.platform == "zynq-iodma":
@@ -147,7 +136,7 @@ class FINNAccelDriver():
if self.fclk_mhz > 0:
Clocks.$CLK_NAME$ = self.fclk_mhz
else:
- raise ValueError("Supported platforms are zynq zynq-iodma alveo")
+ raise ValueError("Supported platforms are zynq-iodma alveo")
# allocate a PYNQ buffer for the packed input and buffer
if self.platform == "alveo":
@@ -203,13 +192,7 @@ class FINNAccelDriver():
\"\"\"Executes accelerator by setting up the DMA(s) and
waiting until all transfers/calls complete. Uses only member variables and
returns nothing.\"\"\"
- if self.platform == "zynq":
- dma = self.dma
- dma.sendchannel.transfer(self.ibuf_packed_device)
- dma.recvchannel.transfer(self.obuf_packed_device)
- dma.sendchannel.wait()
- dma.recvchannel.wait()
- elif self.platform == "zynq-iodma":
+ if self.platform == "zynq-iodma":
# manually launch IODMAs since signatures are missing
self.idma.write(0x10, self.ibuf_packed_device.device_address)
self.idma.write(0x1c, self.N)
@@ -231,7 +214,7 @@ class FINNAccelDriver():
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Set exec mode, batchsize N, bitfile name, inputfile name and outputfile name')
parser.add_argument('--exec_mode', help='Please select functional verification ("execute") or throughput test ("throughput_test")', default="execute")
- parser.add_argument('--platform', help='Target platform: zynq zynq-iodma alveo', default="zynq")
+ parser.add_argument('--platform', help='Target platform: zynq-iodma alveo', default="zynq")
parser.add_argument('--batchsize', help='number of samples for inference', type=int, default=1)
parser.add_argument('--bitfile', help='name of bitfile (i.e. "resizer.bit")', default="resizer.bit")
parser.add_argument('--inputfile', help='name of input npy file (i.e. "input.npy")', default="input.npy")