52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
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#
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# Copyright (C) 2019 The Android Open Source Project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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def test(name, input_dims, value, output, input_dims_data, output_data):
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model = Model().Operation("FILL", input_dims, value).To(output)
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example = Example({
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input_dims: input_dims_data,
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output: output_data,
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},
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model=model,
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name=name).AddVariations("float16", "int32")
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test(
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name="1d",
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input_dims=Input("input0", "TENSOR_INT32", "{1}"),
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value=Float32Scalar("value", 3.0),
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output=Output("output", "TENSOR_FLOAT32", "{5}"),
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input_dims_data=[5],
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output_data=[3.0] * 5,
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)
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test(
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name="3d",
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input_dims=Input("input0", "TENSOR_INT32", "{3}"),
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value=Float32Scalar("value", 3.0),
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output=Output("output", "TENSOR_FLOAT32", "{2, 3, 4}"),
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input_dims_data=[2, 3, 4],
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output_data=[3.0] * (2 * 3 * 4),
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)
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test(
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name="5d",
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input_dims=Input("input0", "TENSOR_INT32", "{5}"),
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value=Float32Scalar("value", 3.0),
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output=Output("output", "TENSOR_FLOAT32", "{1, 2, 3, 4, 5}"),
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input_dims_data=[1, 2, 3, 4, 5],
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output_data=[3.0] * (1 * 2 * 3 * 4 * 5),
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)
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