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https://github.com/tesseract-ocr/tesseract.git
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32 lines
1.3 KiB
C++
32 lines
1.3 KiB
C++
// (C) Copyright 2017, Google Inc.
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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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// http://www.apache.org/licenses/LICENSE-2.0
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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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#include "lstm_test.h"
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namespace tesseract {
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// Tests that a Squashed network learns correctly.
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// Almost as fast as the 2d-lstm.
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TEST_F(LSTMTrainerTest, TestSquashed) {
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// A 2-layer LSTM with a Squashed feature-extracting LSTM on the bottom, and
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// a small convolution/maxpool below that.
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// Match training conditions to those typically used with this spec:
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// recoding on, adam on.
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SetupTrainerEng("[1,32,0,1 Ct3,3,16 Mp3,3 Lfys48 Lbx96 O1c1]", "SQU-2-layer-lstm",
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/*recode*/ true, /*adam*/ true);
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double lstm_2d_err = TrainIterations(kTrainerIterations * 3 / 2);
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EXPECT_LT(lstm_2d_err, 80);
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LOG(INFO) << "********** < 80 ************\n";
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TestIntMode(kTrainerIterations);
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}
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} // namespace tesseract.
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