42 lines
1.6 KiB
Python
42 lines
1.6 KiB
Python
# ******************************************************************************
|
|
# Copyright 2017-2020 Intel Corporation
|
|
#
|
|
# 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 numpy as np
|
|
import ngraph as ng
|
|
from ngraph.impl import Shape, Type
|
|
|
|
|
|
def test_swish_props_with_beta():
|
|
float_dtype = np.float32
|
|
data = ng.parameter(Shape([3, 10]), dtype=float_dtype, name="data")
|
|
beta = ng.parameter(Shape([]), dtype=float_dtype, name="beta")
|
|
|
|
node = ng.swish(data, beta)
|
|
assert node.get_type_name() == "Swish"
|
|
assert node.get_output_size() == 1
|
|
assert list(node.get_output_shape(0)) == [3, 10]
|
|
assert node.get_output_element_type(0) == Type.f32
|
|
|
|
|
|
def test_swish_props_without_beta():
|
|
float_dtype = np.float32
|
|
data = ng.parameter(Shape([3, 10]), dtype=float_dtype, name="data")
|
|
|
|
node = ng.swish(data)
|
|
assert node.get_type_name() == "Swish"
|
|
assert node.get_output_size() == 1
|
|
assert list(node.get_output_shape(0)) == [3, 10]
|
|
assert node.get_output_element_type(0) == Type.f32
|