75 lines
2.7 KiB
Python
75 lines
2.7 KiB
Python
# ******************************************************************************
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# Copyright 2017-2020 Intel Corporation
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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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from typing import Any, Callable, List
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import numpy as np
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import ngraph as ng
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from ngraph.utils.types import NumericData
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from tests.runtime import get_runtime
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def _get_numpy_dtype(scalar):
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return np.array([scalar]).dtype
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def run_op_node(input_data, op_fun, *args):
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# type: (NumericData, Callable, *Any) -> List[NumericData]
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"""Run computation on node performing `op_fun`.
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`op_fun` has to accept a node as an argument.
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This function converts passed raw input data to nGraph Constant Node and that form is passed
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to `op_fun`.
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:param input_data: The input data for performed computation.
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:param op_fun: The function handler for operation we want to carry out.
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:param args: The arguments passed to operation we want to carry out.
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:return: The result from computations.
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"""
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runtime = get_runtime()
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comp_args = []
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op_fun_args = []
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comp_inputs = []
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for data in input_data:
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op_fun_args.append(ng.constant(data, _get_numpy_dtype(data)))
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op_fun_args.extend(args)
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node = op_fun(*op_fun_args)
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computation = runtime.computation(node, *comp_args)
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return computation(*comp_inputs)
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def run_op_numeric_data(input_data, op_fun, *args):
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# type: (NumericData, Callable, *Any) -> List[NumericData]
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"""Run computation on node performing `op_fun`.
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`op_fun` has to accept a scalar or an array.
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This function passess input data AS IS. This mean that in case they're a scalar (integral,
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or floating point value) or a NumPy's ndarray object they will be automatically converted
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to nGraph's Constant Nodes.
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:param input_data: The input data for performed computation.
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:param op_fun: The function handler for operation we want to carry out.
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:param args: The arguments passed to operation we want to carry out.
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:return: The result from computations.
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"""
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runtime = get_runtime()
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node = op_fun(input_data, *args)
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computation = runtime.computation(node)
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return computation()
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