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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.
#
def test(name, input_dims, value, output, input_dims_data, output_data):
model = Model().Operation("FILL", input_dims, value).To(output)
example = Example({
input_dims: input_dims_data,
output: output_data,
},
model=model,
name=name).AddVariations("float16", "int32")
test(
name="1d",
input_dims=Input("input0", "TENSOR_INT32", "{1}"),
value=Float32Scalar("value", 3.0),
output=Output("output", "TENSOR_FLOAT32", "{5}"),
input_dims_data=[5],
output_data=[3.0] * 5,
)
test(
name="3d",
input_dims=Input("input0", "TENSOR_INT32", "{3}"),
value=Float32Scalar("value", 3.0),
output=Output("output", "TENSOR_FLOAT32", "{2, 3, 4}"),
input_dims_data=[2, 3, 4],
output_data=[3.0] * (2 * 3 * 4),
)
test(
name="5d",
input_dims=Input("input0", "TENSOR_INT32", "{5}"),
value=Float32Scalar("value", 3.0),
output=Output("output", "TENSOR_FLOAT32", "{1, 2, 3, 4, 5}"),
input_dims_data=[1, 2, 3, 4, 5],
output_data=[3.0] * (1 * 2 * 3 * 4 * 5),
)
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