maheshambule commented on a change in pull request #5033: [Relay, TF Frontend] Dilation2D operator support URL: https://github.com/apache/incubator-tvm/pull/5033#discussion_r391638773
########## File path: topi/python/topi/nn/dilation2d.py ########## @@ -0,0 +1,147 @@ +# 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, too-many-locals +# pylint: disable=unused-argument, redefined-builtin +"""Dilation2D operators""" +from __future__ import absolute_import as _abs +from tvm import te +from topi.util import simplify +from .pad import pad +from .util import get_pad_tuple + + +def dilation2d_nchw(input, filter, stride, padding, dilation, out_dtype=None): + """Dilation2D operator in NCHW layout. + Parameters + ---------- + input : tvm.Tensor + 4-D with shape [batch, in_channel, in_height, in_width] + filter : tvm.Tensor + 3-D with shape [ in_channel, filter_height, filter_width] + stride : int or a list/tuple of two ints + Stride size, or [stride_height, stride_width] + padding : int or str + Padding size + dilation: int or a list/tuple of two ints + dilation size, or [dilation_height, dilation_width] + Returns + ------- + Output : tvm.Tensor + 4-D with shape [batch, in_channel, out_height, out_width] + """ + if out_dtype is None: + out_dtype = input.dtype + assert isinstance(stride, int) or len(stride) == 2 + assert isinstance(dilation, int) or len(dilation) == 2 + if isinstance(stride, int): + stride_h = stride_w = stride + else: + stride_h, stride_w = stride + + if isinstance(dilation, int): + dilation_h = dilation_w = dilation + else: + dilation_h, dilation_w = dilation + + batch, in_channel, in_height, in_width = input.shape + channel, kernel_h, kernel_w = filter.shape + assert in_channel.value == channel.value, \ + "For Dilation2D input and filter channels should be same." + + # compute the output shape + dilated_kernel_h = (kernel_h - 1) * dilation_h + 1 + dilated_kernel_w = (kernel_w - 1) * dilation_w + 1 + pad_top, pad_left, pad_down, pad_right = get_pad_tuple( + padding, (dilated_kernel_h, dilated_kernel_w)) + + out_height = simplify((in_height - dilated_kernel_h + pad_top + pad_down) // stride_h + 1) + out_width = simplify((in_width - dilated_kernel_w + pad_left + pad_right) // stride_w + 1) + # compute graph + pad_before = [0, 0, pad_top, pad_left] + pad_after = [0, 0, pad_down, pad_right] + temp = pad(input, pad_before, pad_after, name="pad_temp") + ry = te.reduce_axis((0, kernel_h), name='ry') + rx = te.reduce_axis((0, kernel_w), name='rx') + + return te.compute( + (batch, in_channel, out_height, out_width), + lambda nn, ff, yy, xx: te.max( + temp[nn, ff, yy * stride_h + ry * dilation_h, + xx * stride_w + rx * dilation_w].astype(out_dtype) + + filter[ff, ry, rx].astype(out_dtype), + axis=[ry, rx]), tag="dilation2d_nchw") + + +def dilation2d_nhwc(input, filter, stride, padding, dilation, out_dtype=None): + """Dilation2D operator in NHWC layout. + Parameters + ---------- + input : tvm.Tensor + 4-D with shape [batch, in_height, in_width, in_channel] + filter : tvm.Tensor + 3-D with shape [filter_height, filter_width, in_channel] + stride : int or a list/tuple of two ints + Stride size, or [stride_height, stride_width] + padding : int + Padding size + dilation: int or a list/tuple of two ints + dilation size, or [dilation_height, dilation_width] + Returns + ------- Review comment: added ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
