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#
# Copyright (C) 2019 The Android Open Source Project
#
# 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.
#
input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
axis = Int32Scalar("axis", 1)
output0 = Output("output", "TENSOR_INT32", "{2}")
model = Model().Operation("ARGMAX", input0, axis).To(output0)
quant8_signed = DataTypeConverter().Identify({
input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 1.0, 0],
})
Example({
input0: [1.0, 2.0,
4.0, 3.0],
output0: [1, 0],
}).AddVariations(quant8_signed, includeDefault=False)
#######################################################
input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
axis = Int32Scalar("axis", 0)
output0 = Output("output", "TENSOR_INT32", "{2}")
model = Model().Operation("ARGMAX", input0, axis).To(output0)
quant8_signed = DataTypeConverter().Identify({
input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 1.0, 0],
})
Example({
input0: [1.0, 2.0,
4.0, 3.0],
output0: [1, 1],
}).AddVariations(quant8_signed, includeDefault=False)
#######################################################
# Negative axis support test.
input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}")
axis = Int32Scalar("axis", -1)
output0 = Output("output", "TENSOR_INT32", "{2}")
model = Model().Operation("ARGMAX", input0, axis).To(output0)
quant8_signed = DataTypeConverter().Identify({
input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 1.0, 0],
})
Example({
input0: [1.0, 2.0,
4.0, 3.0],
output0: [1, 0],
}).AddVariations(quant8_signed, includeDefault=False)
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