mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-12-13 16:09:04 +08:00
32 lines
1.3 KiB
C++
32 lines
1.3 KiB
C++
// (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.
|