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// (C) Copyright 2017, Google 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.
#include "lstm_test.h"
namespace tesseract {
// Tests that a Squashed network learns correctly.
// Almost as fast as the 2d-lstm.
TEST_F(LSTMTrainerTest, TestSquashed) {
// A 2-layer LSTM with a Squashed feature-extracting LSTM on the bottom, and
// a small convolution/maxpool below that.
// Match training conditions to those typically used with this spec:
// recoding on, adam on.
SetupTrainerEng("[1,32,0,1 Ct3,3,16 Mp3,3 Lfys48 Lbx96 O1c1]", "SQU-2-layer-lstm",
/*recode*/ true, /*adam*/ true);
double lstm_2d_err = TrainIterations(kTrainerIterations * 3 / 2);
EXPECT_LT(lstm_2d_err, 80);
LOG(INFO) << "********** < 80 ************\n";
TestIntMode(kTrainerIterations);
}
} // namespace tesseract.
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