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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.
#
# FLOAT32 and FLOAT16
input0 = Input("input0", "TENSOR_FLOAT32", "{1, 2}")
input1 = Input("input1", "TENSOR_FLOAT32", "{2, 2}")
activation = Int32Scalar("act", 0)
output0 = Output("output0", "TENSOR_FLOAT32", "{2, 2}")
model = Model().Operation("SUB", input0, input1, activation).To(output0)
input0_values = [10, 20]
input1_values = [0.1, 0.2,
0.3, 0.4]
output_values = [9.9, 19.8,
9.7, 19.6]
Example({
input0: input0_values,
input1: input1_values,
output0: output_values,
}).AddVariations("float16").AddAllActivations(output0, activation)
# QUANT8_ASYMM
input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{1, 2}, 1.0, 0")
input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0")
activation = 0
output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0")
model = Model("quant8").Operation("SUB", input0, input1, activation).To(output0)
input0_values = [100, 200]
input1_values = [1, 2,
3, 4]
output_values = [99, 198,
97, 196]
Example({
input0: input0_values,
input1: input1_values,
output0: output_values,
})
# SUB of data type TENSOR_FLOAT32 is introduced in V1_1.
Example.SetVersion("V1_1", "sub_v1_2_broadcast_none", "sub_v1_2_broadcast_relu", \
"sub_v1_2_broadcast_relu1", "sub_v1_2_broadcast_relu6")
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