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#!/usr/bin/env python3
# Copyright (c) 2024, ARM Limited.
#
# 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 json
import pathlib
import subprocess
import serializer.tosa_serializer as ts
def test_example(request):
"""Testing that pytest and the Python serialization library work"""
# Creating an example TOSA region
ser = ts.TosaSerializer("ser")
ser.currRegion.currBasicBlock.addTensor("t1", [3, 4, 5], ts.DType.FP16)
ser.currRegion.currBasicBlock.addTensor("t2", [2, 2], ts.DType.INT32)
ser.currRegion.currBasicBlock.addInput("t1")
ser.currRegion.currBasicBlock.addOutput("t2")
attr = ts.TosaSerializerAttribute()
attr.ConvAttribute([1, 1], [2, 2], [3, 3], 4, 5, True, ts.DType.FP32)
ser.currRegion.currBasicBlock.addOperator(
ts.TosaOp.Op().CONV2D, ["t1"], ["t2"], attr
)
# Defining filepaths
testname = request.node.name
base_dir = (pathlib.Path(__file__).parent / "../..").resolve()
tmp_dir = base_dir / "python/pytests/tmp"
tosa_file = tmp_dir / f"{testname}.tosa"
schema_file = base_dir / "schema/tosa.fbs"
flatc = base_dir / "third_party/flatbuffers/flatc"
# Serializing to flatbuffer and writing to a temporary file
with open(tosa_file, "wb") as f:
f.write(ser.serialize())
# Using flatc to convert the flatbuffer to strict json
_ = subprocess.run(
[flatc, "--json", "--strict-json", "-o", tmp_dir, schema_file, "--", tosa_file],
check=True,
)
# Opening json file generated by previous command
json_file = tmp_dir / f"{testname}.json"
with open(json_file, encoding="utf-8") as f:
serialized = json.load(f)
assert serialized["regions"] == [
{
"name": "main",
"blocks": [
{
"name": "main",
"inputs": ["t1"],
"outputs": ["t2"],
"operators": [
{
"op": "CONV2D",
"attribute_type": "ConvAttribute",
"attribute": {
"pad": [1, 1],
"stride": [2, 2],
"dilation": [3, 3],
"input_zp": 4,
"weight_zp": 5,
"local_bound": True,
"acc_type": "FP32",
},
"inputs": ["t1"],
"outputs": ["t2"],
}
],
"tensors": [
{"name": "t1", "shape": [3, 4, 5], "type": "FP16"},
{"name": "t2", "shape": [2, 2], "type": "INT32"},
],
}
],
}
]
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