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43 lines (36 loc) · 1.88 KB
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# Copyright 2018 Delft University of Technology
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pyarrow as pa
import pyfletcher as pf
import numpy as np
import timeit
import sys
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("recordbatch_path")
args = parser.parse_args()
# Set up a RecordBatch reader and read the RecordBatch.
reader = pa.RecordBatchFileReader(args.recordbatch_path)
batch = reader.get_batch(0)
platform = pf.Platform() # Create an interface to an auto-detected FPGA Platform.
platform.init() # Initialize the Platform.
context = pf.Context(platform) # Create a Context for our data on the Platform.
context.queue_record_batch(batch) # Queue the RecordBatch to the Context.
context.enable() # Enable the Context, (potentially transferring the data to FPGA).
kernel = pf.Kernel(context) # Set up an interface to the Kernel, supplying the Context.
kernel.start() # Start the kernel.
kernel.poll_until_done() # Wait for the kernel to finish.
result = kernel.get_return(np.dtype(np.uint32)) # Obtain the result.
print("Sum: " + str(result)) # Print the result.