|
|
|
|
# Copyright (c) 2021 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 paddle
|
|
|
|
|
|
|
|
|
|
from paddlespeech.s2t.modules.subsampling import Conv2dSubsampling4
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class Conv2dSubsampling4Pure(Conv2dSubsampling4):
|
|
|
|
|
def __init__(self, idim: int, odim: int, dropout_rate: float):
|
|
|
|
|
super().__init__(idim, odim, dropout_rate, None)
|
|
|
|
|
self.output_dim = ((idim - 1) // 2 - 1) // 2 * odim
|
|
|
|
|
self.receptive_field_length = 2 * (
|
|
|
|
|
3 - 1) + 3 # stride_1 * (kernel_size_2 - 1) + kerel_size_1
|
|
|
|
|
|
|
|
|
|
def forward(self, x: paddle.Tensor,
|
|
|
|
|
x_len: paddle.Tensor) -> [paddle.Tensor, paddle.Tensor]:
|
|
|
|
|
x = x.unsqueeze(1) # (b, c=1, t, f)
|
|
|
|
|
x = self.conv(x)
|
|
|
|
|
#b, c, t, f = paddle.shape(x) #not work under jit
|
|
|
|
|
x = x.transpose([0, 2, 1, 3]).reshape([0, 0, -1])
|
|
|
|
|
x_len = ((x_len - 1) // 2 - 1) // 2
|
|
|
|
|
return x, x_len
|
