vandanavk commented on a change in pull request #12376: [MXNET-854] SVRG Optimization in Python Module API URL: https://github.com/apache/incubator-mxnet/pull/12376#discussion_r213770436
########## File path: tests/python/unittest/test_contrib_svrg_module.py ########## @@ -0,0 +1,86 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you 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 mxnet.contrib.svrg_optimization.svrg_module import SVRGModule +import mxnet as mx +import numpy as np + + +def set_up(): + train_data = np.random.randint(1, 5, [1000, 2]) + weights = np.array([1.0, 2.0]) + train_label = train_data.dot(weights) + + di = mx.io.NDArrayIter(train_data, train_label, batch_size=32, shuffle=True, label_name='lin_reg_label') + X = mx.sym.Variable('data') + Y = mx.symbol.Variable('lin_reg_label') + fully_connected_layer = mx.sym.FullyConnected(data=X, name='fc1', num_hidden=1) + lro = mx.sym.LinearRegressionOutput(data=fully_connected_layer, label=Y, name="lro") + + mod = SVRGModule( + symbol=lro, + data_names=['data'], + label_names=['lin_reg_label'], update_freq=2) + mod.bind(data_shapes=di.provide_data, label_shapes=di.provide_label) + mod.init_params(initializer=mx.init.Uniform(0.01), allow_missing=False, + force_init=False, allow_extra=False) + + return mod + + +def test_bind_module(): + mod = set_up() + assert mod.binded == True + assert mod._mod_aux.binded == True + + +def test_module_init(): + mod = set_up() + assert mod._mod_aux != None + + +def test_module_initializer(): + def regression_model(m): + x = mx.symbol.var("data", stype='csr') + v = mx.symbol.var("v", shape=(m, 1), init=mx.init.Uniform(scale=.1), + stype='row_sparse') + model = mx.symbol.dot(lhs=x, rhs=v) + y = mx.symbol.Variable("label") + model = mx.symbol.LinearRegressionOutput(data=model, label=y, name="out") + return model + + n, m = 128, 100 Review comment: Please add a comment explaining the values 128, 100 ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
