#  Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
#  Licensed under the Apache License, Version 2.0 (the "License").
#  You may not use this file except in compliance with the License.
#  A copy of the License is located at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  or in the "license" file accompanying this file. This file 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 absolute_import, print_function

import mxnet as mx
from mxnet import gluon


def model_fn(model_dir):
    symbol = mx.sym.load("%s/model.json" % model_dir)
    outputs = mx.symbol.softmax(data=symbol, name="softmax_label")
    inputs = mx.sym.var("data")
    param_dict = gluon.ParameterDict("model_")
    net = gluon.SymbolBlock(outputs, inputs, param_dict)
    net.load_params("%s/model.params" % model_dir, ctx=mx.cpu())
    return net


def predict_fn(nda, net):
    output = net(nda)
    return mx.nd.argmax(output, axis=1)