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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.
#
layout = BoolScalar("layout", False) # NHWC
# TEST 1: SPACE_TO_DEPTH_NCHW_1, block_size = 2
i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}")
o1 = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 8}")
Model().Operation("SPACE_TO_DEPTH", i1, 2, layout).To(o1)
# Additional data type
quant8 = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.1, 0),
o1: ("TENSOR_QUANT8_ASYMM", 0.1, 0)
})
# Instantiate an example
example = Example({
i1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1],
o1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]
}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
# TEST 2: SPACE_TO_DEPTH_NCHW_2, block_size = 2
i2 = Input("op1", "TENSOR_FLOAT32", "{1, 4, 4, 1}")
o2 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}")
Model().Operation("SPACE_TO_DEPTH", i2, 2, layout).To(o2)
# Additional data type
quant8 = DataTypeConverter().Identify({
i2: ("TENSOR_QUANT8_ASYMM", 0.5, 128),
o2: ("TENSOR_QUANT8_ASYMM", 0.5, 128)
})
# Instantiate an example
example = Example({
i2: [1., 2., 5., 6., 3., 4., 7., 8., 9., 10., 13., 14., 11., 12., 15., 16.],
o2: [1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16.]
}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
# TEST 3: SPACE_TO_DEPTH_NCHW_3, block_size = 2
i3 = Input("op1", "TENSOR_FLOAT32", "{1, 4, 4, 2}")
o3 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 8}")
Model().Operation("SPACE_TO_DEPTH", i3, 2, layout).To(o3)
# Additional data type
quant8 = DataTypeConverter().Identify({
i3: ("TENSOR_QUANT8_ASYMM", 1.0, 0),
o3: ("TENSOR_QUANT8_ASYMM", 1.0, 0)
})
# Instantiate an example
example = Example({
i3: [10, 20, 11, 21, 12, 22, 13, 23,
14, 24, 15, 25, 16, 26, 17, 27,
18, 28, 19, 29, 110, 210, 111, 211,
112, 212, 113, 213, 114, 214, 115, 215],
o3: [10, 20, 11, 21, 14, 24, 15, 25,
12, 22, 13, 23, 16, 26, 17, 27,
18, 28, 19, 29, 112, 212, 113, 213,
110, 210, 111, 211, 114, 214, 115, 215]
}).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
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