Does tensorRT3.0.2 support kernel_size as 1*3 ?

i would like to known tensorRT3.0.2 is support convolution kernel size as 1*3.
and deconvolution as follow.thanks
layer {
name: “conv3x1_1”
type: “Convolution”
bottom: “concat”
top: “conv3x1_1”
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
weight_filler {
type: “msra”
# std: 0.01
}
bias_filler {
type: “constant”
value: 0.0
}
pad_h: 1
pad_w: 0
kernel_h: 3
kernel_w: 1

stride_h: 1
stride_w: 1
}
}

layer {
name: “deconv”
type: “Deconvolution”
bottom: “concat”
top: “deconv”
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 0
kernel_size: 3
stride: 2

weight_filler {
type: “xavier”
}
bias_filler {
type: “constant”
value: 0
}
}
}