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#
# Copyright (C) 2018 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, 3}")
multipliers = Input("multipliers", "TENSOR_INT32", "{2}")
output0 = Output("output0", "TENSOR_FLOAT32", "{4, 3}")
model = Model().Operation("TILE", input0, multipliers).To(output0)
input_values = [11, 12, 13,
21, 22, 23]
multiplier_values = [2, 1]
output_values = [11, 12, 13,
21, 22, 23,
11, 12, 13,
21, 22, 23]
quant8 = DataTypeConverter().Identify({
input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
})
int32 = DataTypeConverter().Identify({
input0: ["TENSOR_INT32"],
output0: ["TENSOR_INT32"],
})
float16 = DataTypeConverter().Identify({
input0: ["TENSOR_FLOAT16"],
output0: ["TENSOR_FLOAT16"],
})
Example({
input0: input_values,
multipliers: multiplier_values,
output0: output_values,
}).AddVariations("relaxed", float16, quant8, int32)
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