self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=1, padding=1, bias=False) if stride != 1 or in_planes != planes: self.shortcut = nn.Sequential( nn.Conv2d(in_planes, planes, kernel_size=1, stride=stride, bias=False) ) # SE layers self.fc1 = nn.Conv2d(planes,...
# 需要导入模块: from keras import layers [as 别名]# 或者: from keras.layers importZeroPadding2D[as 别名]def_conv2d_same(x, filters, prefix, stride=1, kernel_size=3, rate=1):# 计算padding的数量,hw是否需要收缩ifstride ==1:returnConv2D(filters, (kernel_size, kernel_size), strides=(str...
if feat != "click_article_id": sparse_feature_columns.append(SparseFeat(feat, vocabulary_size=df[feat].max() + 1, embedding_dim=emb_dim)) else: sparse_feature_columns.append(SparseFeat(feat, vocabulary_size=364046 + 1, embedding_dim=emb_dim)) # sparse_feature_columns = [SparseFeat(feat,...
Source File: RecyclerViewFragment.java From kernel_adiutor with Apache License 2.0 6 votes public void setOnScrollListener(RecyclerView recyclerView) { if (recyclerView != null) { int paddingBottom = recyclerView.getPaddingBottom() + getResources().getDimensionPixelSize(R.dimen.basecard_padding);...
*kernel_size))else:self.weight=Parameter(torch.Tensor(out_channels,in_channels//groups,*kernel_size))ifbias:self.bias=Parameter(torch.Tensor(out_channels))else:self.register_parameter('bias',None)self.reset_parameters()defreset_parameters(self):n=self.in_channelsforkinself.kernel_size:n*=kst...
7,opset_import: ["" : 14],producer_name: "pytorch",producer_version: "2.1.0">torch_jit (float[1,2,3,5] MaxPool_0) => (float[1,2,2,3] output) {output = MaxPool <ceil_mode = 1, kernel_shape = [3, 3], pads = [1, 1, 1, 1], strides = [3, 3]> (MaxPool_0)}...
🐛 Describe the bug I'm debugging the perf loss of a longformer model for PR (#120758). One thing I found is, for the following log-softmax kernel, padding the output of a log_softmax kernel slow it down from 1.1ms to 1.6ms. This is count...
F types of features from the multiple samples are treated using the iteration solution (3)−(7) to generate discriminative models ^αfα^f, respectively. 1) Feature Group Fusion Tracking: In the tracking phase, the features ZfZf extracted from a target base sample at the current frame are...
}if(temp_event->childNode->window_size !=0) {padding(' ',14);printf("+Sliding Window Size: %f sec\n",temp_event->childNode->window_size); }else{padding(' ',14);printf("+Sliding Window Size: Unlimited\n"); }padding(' ',14);printf("[email protected]: %s/%d\n",temp_event-...
If n 需要注意上面的auto_pad选项,与tensorflow类似有3个选项 NOTSET,同tensorflow的VALID SAME_UPPER或者SAME_LOWER,这里的内容可以参考onnx文件defs.cc中的代码 std::vector<int64_t> pads;if(getRepeatedAttribute(ctx,"pads", pads)) {if(pads.size() != n_input_dims *2) {fail_shape_inference("...