From 4827ea7f82b684aa5ba853193071b0ba713615a7 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 16 三月 2023 19:26:19 +0800
Subject: [PATCH] benchmark

---
 funasr/runtime/python/benchmark_onnx.md                              |   16 +++++
 funasr/runtime/python/libtorch/torch_paraformer/utils/compute_wer.py |  157 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 172 insertions(+), 1 deletions(-)

diff --git a/funasr/runtime/python/README.md b/funasr/runtime/python/benchmark_onnx.md
similarity index 62%
rename from funasr/runtime/python/README.md
rename to funasr/runtime/python/benchmark_onnx.md
index c47f8e7..b45f9ed 100644
--- a/funasr/runtime/python/README.md
+++ b/funasr/runtime/python/benchmark_onnx.md
@@ -2,7 +2,7 @@
 
 (Note: The service has been fully warm up.)
 
- Intel(R) Xeon(R) Platinum 8369B CPU @ 2.90GHz   16core-32processor    with avx512_vnni
+ ### Intel(R) Xeon(R) Platinum 8369B CPU @ 2.90GHz   16core-32processor    with avx512_vnni
 
 | concurrent-tasks | processing time(s) |  RTF   | Speedup Rate |
 |:----------------:|:------------------:|:------:|:------------:|
@@ -19,3 +19,17 @@
 |  96 (onnx fp32)  |        151         | 0.0042 |    238.0     |
 |  96 (onnx int8)  |         80         | 0.0022 |    452.0     |
 
+
+### Intel(R) Xeon(R) Platinum 8269CY CPU @ 2.50GHz   16core-32processor    with avx512_vnni
+
+| concurrent-tasks | processing time(s) |  RTF   | Speedup Rate |
+|:----------------:|:------------------:|:------:|:------------:|
+|  1 (onnx fp32)   |        2613        | 0.0724 |     13.8     |
+|  1 (onnx int8)   |        1321        | 0.0366 |     22.4     |
+|  32 (onnx fp32)  |        170         | 0.0047 |    212.7     |
+|  32 (onnx int8)  |        89          | 0.0025 |    407.0     |
+|  64 (onnx fp32)  |        166         | 0.0046 |    217.1     |
+|  64 (onnx int8)  |         87         | 0.0024 |    414.7     |
+
+
+### 
\ No newline at end of file
diff --git a/funasr/runtime/python/libtorch/torch_paraformer/utils/compute_wer.py b/funasr/runtime/python/libtorch/torch_paraformer/utils/compute_wer.py
new file mode 100755
index 0000000..349a3f6
--- /dev/null
+++ b/funasr/runtime/python/libtorch/torch_paraformer/utils/compute_wer.py
@@ -0,0 +1,157 @@
+import os
+import numpy as np
+import sys
+
+def compute_wer(ref_file,
+                hyp_file,
+                cer_detail_file):
+    rst = {
+        'Wrd': 0,
+        'Corr': 0,
+        'Ins': 0,
+        'Del': 0,
+        'Sub': 0,
+        'Snt': 0,
+        'Err': 0.0,
+        'S.Err': 0.0,
+        'wrong_words': 0,
+        'wrong_sentences': 0
+    }
+
+    hyp_dict = {}
+    ref_dict = {}
+    with open(hyp_file, 'r') as hyp_reader:
+        for line in hyp_reader:
+            key = line.strip().split()[0]
+            value = line.strip().split()[1:]
+            hyp_dict[key] = value
+    with open(ref_file, 'r') as ref_reader:
+        for line in ref_reader:
+            key = line.strip().split()[0]
+            value = line.strip().split()[1:]
+            ref_dict[key] = value
+
+    cer_detail_writer = open(cer_detail_file, 'w')
+    for hyp_key in hyp_dict:
+        if hyp_key in ref_dict:
+           out_item = compute_wer_by_line(hyp_dict[hyp_key], ref_dict[hyp_key])
+           rst['Wrd'] += out_item['nwords']
+           rst['Corr'] += out_item['cor']
+           rst['wrong_words'] += out_item['wrong']
+           rst['Ins'] += out_item['ins']
+           rst['Del'] += out_item['del']
+           rst['Sub'] += out_item['sub']
+           rst['Snt'] += 1
+           if out_item['wrong'] > 0:
+               rst['wrong_sentences'] += 1
+           cer_detail_writer.write(hyp_key + print_cer_detail(out_item) + '\n')
+           cer_detail_writer.write("ref:" + '\t' + "".join(ref_dict[hyp_key]) + '\n')
+           cer_detail_writer.write("hyp:" + '\t' + "".join(hyp_dict[hyp_key]) + '\n')
+
+    if rst['Wrd'] > 0:
+        rst['Err'] = round(rst['wrong_words'] * 100 / rst['Wrd'], 2)
+    if rst['Snt'] > 0:
+        rst['S.Err'] = round(rst['wrong_sentences'] * 100 / rst['Snt'], 2)
+
+    cer_detail_writer.write('\n')
+    cer_detail_writer.write("%WER " + str(rst['Err']) + " [ " + str(rst['wrong_words'])+ " / " + str(rst['Wrd']) +
+                            ", " + str(rst['Ins']) + " ins, " + str(rst['Del']) + " del, " + str(rst['Sub']) + " sub ]" + '\n')
+    cer_detail_writer.write("%SER " + str(rst['S.Err']) + " [ " + str(rst['wrong_sentences']) + " / " + str(rst['Snt']) + " ]" + '\n')
+    cer_detail_writer.write("Scored " + str(len(hyp_dict)) + " sentences, " + str(len(hyp_dict) - rst['Snt']) + " not present in hyp." + '\n')
+
+     
+def compute_wer_by_line(hyp,
+                        ref):
+    hyp = list(map(lambda x: x.lower(), hyp))
+    ref = list(map(lambda x: x.lower(), ref))
+
+    len_hyp = len(hyp)
+    len_ref = len(ref)
+
+    cost_matrix = np.zeros((len_hyp + 1, len_ref + 1), dtype=np.int16)
+
+    ops_matrix = np.zeros((len_hyp + 1, len_ref + 1), dtype=np.int8)
+
+    for i in range(len_hyp + 1):
+        cost_matrix[i][0] = i
+    for j in range(len_ref + 1):
+        cost_matrix[0][j] = j
+
+    for i in range(1, len_hyp + 1):
+        for j in range(1, len_ref + 1):
+            if hyp[i - 1] == ref[j - 1]:
+                cost_matrix[i][j] = cost_matrix[i - 1][j - 1]
+            else:
+                substitution = cost_matrix[i - 1][j - 1] + 1
+                insertion = cost_matrix[i - 1][j] + 1
+                deletion = cost_matrix[i][j - 1] + 1
+
+                compare_val = [substitution, insertion, deletion]
+
+                min_val = min(compare_val)
+                operation_idx = compare_val.index(min_val) + 1
+                cost_matrix[i][j] = min_val
+                ops_matrix[i][j] = operation_idx
+
+    match_idx = []
+    i = len_hyp
+    j = len_ref
+    rst = {
+        'nwords': len_ref,
+        'cor': 0,
+        'wrong': 0,
+        'ins': 0,
+        'del': 0,
+        'sub': 0
+    }
+    while i >= 0 or j >= 0:
+        i_idx = max(0, i)
+        j_idx = max(0, j)
+
+        if ops_matrix[i_idx][j_idx] == 0:  # correct
+            if i - 1 >= 0 and j - 1 >= 0:
+                match_idx.append((j - 1, i - 1))
+                rst['cor'] += 1
+
+            i -= 1
+            j -= 1
+
+        elif ops_matrix[i_idx][j_idx] == 2:  # insert
+            i -= 1
+            rst['ins'] += 1
+
+        elif ops_matrix[i_idx][j_idx] == 3:  # delete
+            j -= 1
+            rst['del'] += 1
+
+        elif ops_matrix[i_idx][j_idx] == 1:  # substitute
+            i -= 1
+            j -= 1
+            rst['sub'] += 1
+
+        if i < 0 and j >= 0:
+            rst['del'] += 1
+        elif j < 0 and i >= 0:
+            rst['ins'] += 1
+
+    match_idx.reverse()
+    wrong_cnt = cost_matrix[len_hyp][len_ref]
+    rst['wrong'] = wrong_cnt
+
+    return rst
+
+def print_cer_detail(rst):
+    return ("(" + "nwords=" + str(rst['nwords']) + ",cor=" + str(rst['cor'])
+            + ",ins=" + str(rst['ins']) + ",del=" + str(rst['del']) + ",sub="
+            + str(rst['sub']) + ") corr:" + '{:.2%}'.format(rst['cor']/rst['nwords'])
+            + ",cer:" + '{:.2%}'.format(rst['wrong']/rst['nwords']))
+
+if __name__ == '__main__':
+    if len(sys.argv) != 4:
+        print("usage : python compute-wer.py test.ref test.hyp test.wer")
+        sys.exit(0)
+
+    ref_file = sys.argv[1]
+    hyp_file = sys.argv[2]
+    cer_detail_file = sys.argv[3]
+    compute_wer(ref_file, hyp_file, cer_detail_file)

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