wehub-resource-sync
233 lines
6.8 KiB
Python
233 lines
6.8 KiB
Python
# Copyright (c) 2018 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 unittest
|
|
|
|
import numpy as np
|
|
from op_test import OpTest
|
|
|
|
import paddle
|
|
|
|
|
|
def CTCAlign(input, lod, blank, merge_repeated, padding=0, input_length=None):
|
|
if input_length is None:
|
|
lod0 = lod[0]
|
|
result = []
|
|
cur_offset = 0
|
|
for i in range(len(lod0)):
|
|
prev_token = -1
|
|
for j in range(cur_offset, cur_offset + lod0[i]):
|
|
token = input[j][0]
|
|
if (token != blank) and not (
|
|
merge_repeated and token == prev_token
|
|
):
|
|
result.append(token)
|
|
prev_token = token
|
|
cur_offset += lod0[i]
|
|
result = np.array(result).reshape([len(result), 1]).astype("int32")
|
|
if len(result) == 0:
|
|
result = np.array([[-1]])
|
|
return result
|
|
else:
|
|
result = [[] for i in range(len(input))]
|
|
output_length = []
|
|
for i in range(len(input)):
|
|
prev_token = -1
|
|
for j in range(input_length[i][0]):
|
|
token = input[i][j]
|
|
if (token != blank) and not (
|
|
merge_repeated and token == prev_token
|
|
):
|
|
result[i].append(token)
|
|
prev_token = token
|
|
start = len(result[i])
|
|
output_length.append([start])
|
|
for j in range(start, len(input[i])):
|
|
result[i].append(padding)
|
|
result = (
|
|
np.array(result)
|
|
.reshape([len(input), len(input[0])])
|
|
.astype("int32")
|
|
)
|
|
output_length = (
|
|
np.array(output_length).reshape([len(input), 1]).astype("int32")
|
|
)
|
|
|
|
return result, output_length
|
|
|
|
|
|
class TestCTCAlignOp(OpTest):
|
|
def config(self):
|
|
self.op_type = "ctc_align"
|
|
self.input_lod = [[11, 7]]
|
|
self.blank = 0
|
|
self.merge_repeated = False
|
|
self.input = (
|
|
np.array([0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, 6, 0, 0, 7, 7, 7, 0])
|
|
.reshape([18, 1])
|
|
.astype("int32")
|
|
)
|
|
|
|
def setUp(self):
|
|
self.config()
|
|
output = CTCAlign(
|
|
self.input, self.input_lod, self.blank, self.merge_repeated
|
|
)
|
|
|
|
self.inputs = {
|
|
"Input": (self.input, self.input_lod),
|
|
}
|
|
self.outputs = {"Output": output}
|
|
self.attrs = {
|
|
"blank": self.blank,
|
|
"merge_repeated": self.merge_repeated,
|
|
}
|
|
|
|
def test_check_output(self):
|
|
# NODE(yjjiang11): This op will be deprecated.
|
|
self.check_output(check_dygraph=False)
|
|
|
|
|
|
class TestCTCAlignOpCase1(TestCTCAlignOp):
|
|
def config(self):
|
|
self.op_type = "ctc_align"
|
|
self.input_lod = [[11, 8]]
|
|
self.blank = 0
|
|
self.merge_repeated = True
|
|
self.input = (
|
|
np.array([0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, 6, 0, 0, 7, 7, 7, 0, 0])
|
|
.reshape([19, 1])
|
|
.astype("int32")
|
|
)
|
|
|
|
|
|
class TestCTCAlignOpCase2(TestCTCAlignOp):
|
|
def config(self):
|
|
self.op_type = "ctc_align"
|
|
self.input_lod = [[4]]
|
|
self.blank = 0
|
|
self.merge_repeated = True
|
|
self.input = np.array([0, 0, 0, 0]).reshape([4, 1]).astype("int32")
|
|
|
|
|
|
class TestCTCAlignPaddingOp(OpTest):
|
|
def config(self):
|
|
self.op_type = "ctc_align"
|
|
self.input_lod = []
|
|
self.blank = 0
|
|
self.padding_value = 0
|
|
self.merge_repeated = True
|
|
self.input = (
|
|
np.array(
|
|
[
|
|
[0, 2, 4, 4, 0, 6, 3, 6, 6, 0, 0],
|
|
[1, 1, 3, 0, 0, 4, 5, 6, 0, 0, 0],
|
|
]
|
|
)
|
|
.reshape([2, 11])
|
|
.astype("int32")
|
|
)
|
|
self.input_length = np.array([[9], [8]]).reshape([2, 1]).astype("int32")
|
|
|
|
def setUp(self):
|
|
self.config()
|
|
output, output_length = CTCAlign(
|
|
self.input,
|
|
self.input_lod,
|
|
self.blank,
|
|
self.merge_repeated,
|
|
self.padding_value,
|
|
self.input_length,
|
|
)
|
|
self.inputs = {
|
|
"Input": (self.input, self.input_lod),
|
|
"InputLength": self.input_length,
|
|
}
|
|
self.outputs = {"Output": output, "OutputLength": output_length}
|
|
self.attrs = {
|
|
"blank": self.blank,
|
|
"merge_repeated": self.merge_repeated,
|
|
"padding_value": self.padding_value,
|
|
}
|
|
|
|
def test_check_output(self):
|
|
# NODE(yjjiang11): This op will be deprecated.
|
|
self.check_output(check_dygraph=False)
|
|
|
|
|
|
class TestCTCAlignOpCase3(TestCTCAlignPaddingOp):
|
|
def config(self):
|
|
self.op_type = "ctc_align"
|
|
self.blank = 0
|
|
self.input_lod = []
|
|
self.merge_repeated = True
|
|
self.padding_value = 0
|
|
self.input = (
|
|
np.array(
|
|
[[0, 1, 2, 2, 0, 4], [0, 4, 5, 0, 6, 0], [0, 7, 7, 7, 0, 0]]
|
|
)
|
|
.reshape([3, 6])
|
|
.astype("int32")
|
|
)
|
|
self.input_length = (
|
|
np.array([[6], [5], [4]]).reshape([3, 1]).astype("int32")
|
|
)
|
|
|
|
|
|
class TestCTCAlignOpCase4(TestCTCAlignPaddingOp):
|
|
'''
|
|
# test tensor input which has attr input padding_value
|
|
'''
|
|
|
|
def config(self):
|
|
self.op_type = "ctc_align"
|
|
self.blank = 0
|
|
self.input_lod = []
|
|
self.merge_repeated = False
|
|
self.padding_value = 0
|
|
self.input = (
|
|
np.array(
|
|
[[0, 1, 2, 2, 0, 4], [0, 4, 5, 0, 6, 0], [0, 7, 7, 7, 0, 0]]
|
|
)
|
|
.reshape([3, 6])
|
|
.astype("int32")
|
|
)
|
|
self.input_length = (
|
|
np.array([[6], [5], [4]]).reshape([3, 1]).astype("int32")
|
|
)
|
|
|
|
|
|
class TestCTCAlignOpCase5(TestCTCAlignPaddingOp):
|
|
def config(self):
|
|
self.op_type = "ctc_align"
|
|
self.blank = 0
|
|
self.input_lod = []
|
|
self.merge_repeated = False
|
|
self.padding_value = 1
|
|
self.input = (
|
|
np.array(
|
|
[[0, 1, 2, 2, 0, 4], [0, 4, 5, 0, 6, 0], [0, 7, 1, 7, 0, 0]]
|
|
)
|
|
.reshape([3, 6])
|
|
.astype("int32")
|
|
)
|
|
self.input_length = (
|
|
np.array([[6], [5], [4]]).reshape([3, 1]).astype("int32")
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
paddle.enable_static()
|
|
unittest.main()
|