pd ort infer check

speechx/examples/ds2_ol/onnx/local/infer_check.py

@@ -0,0 +1,86 @@
+#!/usr/bin/env python3
+# Copyright (c) 2022 PaddlePaddle Authors. 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.
+# 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.
+
+import argparse
+import numpy as np
+import onnxruntime
+import paddle
+import os
+import pickle
+
+def parse_args():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        '--input_file',
+        type=str,
+        default="static_ds2online_inputs.pickle",
+        help="ds2 input pickle file.",
+    )
+    parser.add_argument(
+        '--model_dir',
+        type=str,
+        default=".",
+        help="paddle model dir."
+    )
+    parser.add_argument(
+        '--onnx_model',
+        type=str,
+        default='./model.old.onnx',
+        help="onnx model."
+    )
+
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+    FLAGS = parse_args()
+
+    # input and output
+    with open(FLAGS.input_file, 'rb') as f:
+        iodict = pickle.load(f)
+        print(iodict.keys())
+
+    audio_chunk = iodict['audio_chunk']
+    audio_chunk_lens = iodict['audio_chunk_lens']
+    chunk_state_h_box = iodict['chunk_state_h_box']
+    chunk_state_c_box = iodict['chunk_state_c_bos']
+
+    # paddle
+    model = paddle.jit.load(os.path.join(FLAGS.model_dir, "avg_1.jit"))
+    res_chunk, res_lens, chunk_state_h, chunk_state_c = model(
+        paddle.to_tensor(audio_chunk),
+        paddle.to_tensor(audio_chunk_lens),
+        paddle.to_tensor(chunk_state_h_box),
+        paddle.to_tensor(chunk_state_c_box),
+    )
+
+    # onnxruntime
+    options = onnxruntime.SessionOptions()
+    options.enable_profiling=True
+    sess = onnxruntime.InferenceSession(FLAGS.onnx_model, sess_options=options)
+    ort_res_chunk, ort_res_lens, ort_chunk_state_h, ort_chunk_state_c = sess.run(
+                ['softmax_0.tmp_0', 'tmp_5', 'concat_0.tmp_0', 'concat_1.tmp_0'],
+                {"audio_chunk": audio_chunk,
+                 "audio_chunk_lens":audio_chunk_lens,
+                 "chunk_state_h_box": chunk_state_h_box,
+                 "chunk_state_c_box":chunk_state_c_box})
+
+    print(sess.end_profiling())
+
+    # assert paddle equal ort
+    print(np.allclose(ort_res_chunk, res_chunk, atol=1e-6))
+    print(np.allclose(ort_res_lens, res_lens, atol=1e-6))
+    print(np.allclose(ort_chunk_state_h, chunk_state_h, atol=1e-6))
+    print(np.allclose(ort_chunk_state_c, chunk_state_c, atol=1e-6))

speechx/examples/ds2_ol/onnx/run.sh

@@ -22,10 +22,12 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ];then
     popd
 fi
 
+
 dir=$data/exp/deepspeech2_online/checkpoints
 model=avg_1.jit.pdmodel
 param=avg_1.jit.pdiparams
 
+
 output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0
 if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ];then
     #  prune model by outputs
@@ -47,7 +49,10 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ];then
         --input_shape_dict=${input_shape_dict} 
 fi
 
+
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ];then
     # to onnx
    ./local/tonnx.sh $dir $model $param $exp/model.onnx
+   ./local/infer_check.py --input_file 'static_ds2online_inputs.pickle' --model_dir $dir --onnx_model $exp/model.onnx
 fi
+