wehub-resource-sync
142 lines
4.5 KiB
Python
142 lines
4.5 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
|
|
# or more contributor license agreements. See the NOTICE file
|
|
# distributed with this work for additional information
|
|
# regarding copyright ownership. The ASF licenses this file
|
|
# to you 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.
|
|
# pylint: disable=invalid-name, unused-variable, unused-argument
|
|
"""1D convolution operators."""
|
|
|
|
from .conv2d import conv
|
|
|
|
|
|
def conv1d(
|
|
data,
|
|
kernel,
|
|
strides=1,
|
|
padding="VALID",
|
|
dilation=1,
|
|
groups=1,
|
|
data_layout="NCW",
|
|
kernel_layout="",
|
|
out_dtype=None,
|
|
):
|
|
"""1D convolution forward operator.
|
|
|
|
Parameters
|
|
----------
|
|
data : tvm.te.Tensor
|
|
3-D input shape [batch, in_channel, in_width] for data_layout == 'NCW'
|
|
and [batch, in_width, in_channel] for data_layout == 'NWC'
|
|
|
|
kernel : tvm.te.Tensor
|
|
3-D kernel with shape [num_filter, in_channel, filter_size] for kernel_layout == 'OIW'
|
|
and [filter_size, in_channel, num_filter] for kernel_layout == 'WIO'
|
|
|
|
strides : int or tuple
|
|
The spatial stride along width
|
|
|
|
padding : int or str
|
|
Padding size, or ['VALID', 'SAME']
|
|
|
|
dilation : int or tuple
|
|
Dilation rate if convolution should be dilated.
|
|
|
|
data_layout : str
|
|
How input data is laid out, must be one of ['NCW', 'NWC']
|
|
|
|
kernel_layout: Optiona[str]
|
|
The layout of the kernel. If unspecified, use default layout. "OIW" if data_layout == "NCW",
|
|
"WIO" if data_layout == "NWC".
|
|
|
|
out_dtype : str
|
|
The output data type. If None then output is same type as input.
|
|
"""
|
|
return conv(
|
|
data, kernel, strides, padding, dilation, groups, data_layout, kernel_layout, out_dtype
|
|
)
|
|
|
|
|
|
def conv1d_nwc(data, kernel, strides=1, padding="VALID", dilation=1, out_dtype=None):
|
|
"""1D convolution in NWC layout. See :py:func:`conv` for details on parameters"""
|
|
return conv(data, kernel, strides, padding, dilation, 1, "NWC", "WIO", out_dtype=out_dtype)
|
|
|
|
|
|
def conv1d_ncw(data, kernel, strides=1, padding="VALID", dilation=1, out_dtype=None):
|
|
"""1D convolution in NCW layout. See :py:func:`conv` for details on parameters"""
|
|
return conv(data, kernel, strides, padding, dilation, 1, "NCW", "OIW", out_dtype=out_dtype)
|
|
|
|
|
|
def group_conv1d_nwc(
|
|
data, kernel, strides=1, padding="VALID", dilation=1, groups=1, out_dtype=None
|
|
):
|
|
"""1D convolution forward operator for NWC layout.
|
|
|
|
Parameters
|
|
----------
|
|
data : tvm.te.Tensor
|
|
3-D with shape [batch, in_width, in_channel]
|
|
|
|
kernel : tvm.te.Tensor
|
|
3-D with shape [filter_size, in_channel, num_filter]
|
|
|
|
strides : int or tuple
|
|
The spatial stride along width
|
|
|
|
padding : int, tuple, or str
|
|
Padding size can be an integer for equal padding,
|
|
a tuple of (left, right) or a string in ['VALID', 'SAME'].
|
|
|
|
dilation : int or tuple
|
|
Dilation rate if convolution should be dilated.
|
|
|
|
groups : int
|
|
Number of groups
|
|
|
|
out_dtype : str
|
|
The output data type. If None then output is same type as input.
|
|
"""
|
|
return conv(data, kernel, strides, padding, dilation, groups, "NWC", "WIO", out_dtype=out_dtype)
|
|
|
|
|
|
def group_conv1d_ncw(
|
|
data, kernel, strides=1, padding="VALID", dilation=1, groups=1, out_dtype=None
|
|
):
|
|
"""1D convolution forward operator for NCW layout.
|
|
|
|
Parameters
|
|
----------
|
|
data : tvm.te.Tensor
|
|
3-D with shape [batch, in_channel, in_width]
|
|
|
|
kernel : tvm.te.Tensor
|
|
3-D with shape [num_filter, in_channel, filter_size]
|
|
|
|
strides : int or tuple
|
|
The spatial stride along width
|
|
|
|
padding : int, tuple, or str
|
|
Padding size can be an integer for equal padding,
|
|
a tuple of (left, right) or a string in ['VALID', 'SAME'].
|
|
|
|
dilation : int or tuple
|
|
Dilation rate if convolution should be dilated.
|
|
|
|
groups : int
|
|
Number of groups
|
|
|
|
out_dtype : str
|
|
The output data type. If None then output is same type as input.
|
|
"""
|
|
return conv(data, kernel, strides, padding, dilation, groups, "NCW", "OIW", out_dtype=out_dtype)
|