def test_vector_dummy_data():
op_map = parse_prototxt(join(PROTO_PATH, "tensor_dummy_data.prototxt"))
op = op_map.get("A")
a = np.full((2, 3), 4.)
with executor(op) as ex:
res = ex()
assert (np.array_equal(res, a))
def test_tensor_const_sum():
op_map = parse_prototxt(join(PROTO_PATH, "tensor_const_sum.prototxt"))
op = op_map.get("C")
with executor(op) as ex:
res = ex()
a = np.full((2, 3), 4.)
b = np.full((2, 3), 3.)
c = a + b
assert (np.array_equal(res, c))
def test_scalar_dummy_data():
op_map = parse_prototxt(join(PROTO_PATH, "scalar_dummy_data.prototxt"))
op = op_map.get("A")
with executor(op) as ex:
res = ex()
assert (res == 1.)
def test_scalar_const_sum():
op_map = parse_prototxt(join(PROTO_PATH, "scalar_const_sum.prototxt"))
op = op_map.get("C")
with executor(op) as ex:
res = ex()
assert (res == 4.)
# ----------------------------------------------------------------------------
# Copyright 2016 Nervana Systems Inc.
# 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.
# ----------------------------------------------------------------------------
from __future__ import print_function
import ngraph.transformers as ngt
from ngraph.frontends.caffe.cf_importer.importer import parse_prototxt
model = "sum.prototxt"
# import graph from the prototxt
op_map = parse_prototxt(model, verbose=True)
# get the op handle for any layer
op = op_map.get("D")
# execute the op handle
res = ngt.make_transformer().computation(op)()
print("Result is:", res)
# EOF