76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
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#
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# Copyright (C) 2021 The Android Open Source Project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from itertools import chain
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def test(name, axis_value, input_tensor, output_tensor, input_data, output_data):
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model = Model().Operation("REVERSE", input_tensor, [axis_value]).To(output_tensor)
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quant8_asymm_type = ("TENSOR_QUANT8_ASYMM", 0.5, 4)
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quant8_asymm = DataTypeConverter(name="quant8_asymm").Identify({
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input_tensor: quant8_asymm_type,
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output_tensor: quant8_asymm_type,
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})
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quant8_asymm_signed_type = ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -9)
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quant8_asymm_signed = DataTypeConverter(name="quant8_asymm_signed").Identify({
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input_tensor: quant8_asymm_signed_type,
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output_tensor: quant8_asymm_signed_type,
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})
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Example({
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input_tensor: input_data,
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output_tensor: output_data,
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}, model=model, name=name).AddVariations("float16", quant8_asymm, quant8_asymm_signed, "int32")
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def rrange(hi, lo):
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return range(hi, lo, -1)
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test(
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name="dim1",
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axis_value=0,
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input_tensor=Input("in", ("TENSOR_FLOAT32", [3])),
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output_tensor=Output("out", ("TENSOR_FLOAT32", [3])),
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input_data=[6, 7, 8],
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output_data=[8, 7, 6],
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)
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test(
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name="dim3_axis0",
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axis_value=0,
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input_tensor=Input("in", ("TENSOR_FLOAT32", [2,3,4])),
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output_tensor=Output("out", ("TENSOR_FLOAT32", [2,3,4])),
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input_data = list(range(24)),
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output_data = list(chain(range(12,24), range(0,12))),
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)
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test(
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name="dim3_axis1",
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axis_value=1,
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input_tensor=Input("in", ("TENSOR_FLOAT32", [2,3,4])),
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output_tensor=Output("out", ("TENSOR_FLOAT32", [2,3,4])),
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input_data = list(range(24)),
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output_data = list(chain(range(8,12), range(4,8), range(0,4),
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range(20,24), range(16,20), range(12,16))),
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)
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test(
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name="dim3_axis2",
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axis_value=2,
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input_tensor=Input("in", ("TENSOR_FLOAT32", [2,3,4])),
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output_tensor=Output("out", ("TENSOR_FLOAT32", [2,3,4])),
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input_data = list(range(24)),
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output_data = list(chain(rrange(3,-1), rrange(7,3), rrange(11,7),
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rrange(15,11), rrange(19,15), rrange(23,19)))
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)
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