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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.
#
import collections
Operand = collections.namedtuple(
"Operand", [
"name", "as_input", "as_output", "data",
"supports_relaxation", "introduced_in"
],
defaults=[False, None])
operands = [
Operand(
name="float16",
as_input=Input("input0", "TENSOR_FLOAT16", "{2, 3}"),
as_output=Output("output0", "TENSOR_FLOAT16", "{2, 3}"),
data=[1, 2, 3, 4, 5, 6],
supports_relaxation=False,
introduced_in="V1_2"),
Operand(
name="float32",
as_input=Input("input0", "TENSOR_FLOAT32", "{2, 3}"),
as_output=Output("output0", "TENSOR_FLOAT32", "{2, 3}"),
data=[1, 2, 3, 4, 5, 6],
supports_relaxation=True,
introduced_in="V1_2"),
Operand(
name="int32",
as_input=Input("input0", "TENSOR_INT32", "{2, 3}"),
as_output=Output("output0", "TENSOR_INT32", "{2, 3}"),
data=[1, 2, 3, 4, 5, 6],
supports_relaxation=False,
introduced_in="V1_2"),
Operand(
name="bool8",
as_input=Input("input0", "TENSOR_BOOL8", "{2, 3}"),
as_output=Output("output0", "TENSOR_BOOL8", "{2, 3}"),
data=[1, 0, 1, 0, 0, 1]),
Operand(
name="quant8_asymm",
as_input=Input("input0", "TENSOR_QUANT8_ASYMM", "{2, 3}, 4.0, 100"),
as_output=Output("output0", "TENSOR_QUANT8_ASYMM", "{2, 3}, 4.0, 100"),
data=[1, 2, 3, 4, 5, 6],
supports_relaxation=False,
introduced_in="V1_2"),
Operand(
name="quant8_symm",
as_input=Input("input0", "TENSOR_QUANT8_SYMM", "{2, 3}, 4.0, 0"),
as_output=Output("output0", "TENSOR_QUANT8_SYMM", "{2, 3}, 4.0, 0"),
data=[1, 2, 3, 4, 5, 6]),
Operand(
name="quant16_asymm",
as_input=Input("input0", "TENSOR_QUANT16_ASYMM", "{2, 3}, 4.0, 100"),
as_output=Output("output0", "TENSOR_QUANT16_ASYMM", "{2, 3}, 4.0, 100"),
data=[1, 2, 3, 4, 5, 6]),
Operand(
name="quant16_symm",
as_input=Input("input0", "TENSOR_QUANT16_SYMM", "{2, 3}, 4.0, 0"),
as_output=Output("output0", "TENSOR_QUANT16_SYMM", "{2, 3}, 4.0, 0"),
data=[1, 2, 3, 4, 5, 6]),
]
for operand in operands:
input0 = operand.as_input
output0 = operand.as_output
model = Model().Operation("CAST", input0).To(output0)
if operand.introduced_in:
model.IntroducedIn(operand.introduced_in)
example = Example({
input0: operand.data,
output0: operand.data,
}, model=model, name=operand.name)
if operand.supports_relaxation:
example.AddRelaxed()
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