I found this most excellent solution to the exact issue I am trying to solve here: Blur or dim background when Android PopupWindow active However, I cannot get the parent view to dim by setting the Al... Print
batch_y = torch.from_numpy(batch_y).long() batch_x = batch_x.cuda() batch_y = batch_y.cuda() batch_x = F.interpolate(batch_x, (224, 224), mode='bilinear') y = net(batch_x) y = torch.topk(y, 1, dim=1).indices y = y[:, 0] acc = (y == batch_y).float().sum...
array(array, dtype=dtype, order=order, copy=copy) 292 303 if not allow_nd and array.ndim >= 3: 293 304 raise ValueError("Found array with dim %d. Expected <= 2" % @@ -311,15 +322,17 @@ def check_array(array, accept_sparse=None, dtype=None, order=None, copy=False, 311...
This is an analogue of torch.narrow for ShardedTensors. Narrowing assumes that we narrow a local tensor on each rank. This has consequences on local_shape, global_shape, global_offset, etc. Parameters dim (int)– dimension to narrow. Doesn’t include prepended axes. start (int)– start ...
new_shape = [int(dim) for dim in variable['shape']] new_name = old_name + '\ndata_type=' + str(variable['data_type']) \ + '\nshape=' + str(new_shape) new_name = old_name + '\ndata_type=' + str( variable['data_type']) + '\nshape=' + str(new_shape) variable['...
Invalid prop: type check failed for prop “value“. Expected String, Number, got Array问题解觉及查找 写了一个vue封装组件一直报这个错误 找了很久真的头秃 在网上找了很多方法不对 后来经过持久奋斗,灵光一闪,终于找到了问题 用的select组件 绑定了两个参数 v-model 值及multiple值 ,看下图 所以总结一下...
A code generator for array-based code on CPUs and GPUs - loopy/loopy/check.py at main · inducer/loopy
173 182 dim_of_x = inputs.get_shape()[-1] 174 183 175 184 shadow_mean = _tf.Variable( @@ -247,6 +256,8 @@ def conv_layer(self, inputs, shape, name, batch_name, init_weights, batch_norm=T 247 256 conv: TensorFlow Tensor 248 257 Return result from combining conv, bat...
所以,我们应该从 dim=engine.get_profile_shape(profile_id, input_name)[0]检查trt,必须输入相同的dim。 您好,我想问下,我在onnx转trt的时候已经设置了动态形状了,profile.set_shape(network.get_input(0).name, (1,3,160,160),(1,3,1280,1280), (1,3,48004800)),为什么会出现 engineDims.nbDims =...
void CheckErrors(OpKernelContext* context, int batch_dim, int seq_dim) { const Tensor& input = context->input(0); const Tensor& seq_lens = context->input(1); const Tensor& seq_lengths = context->input(1); auto seq_lens_t = seq_lens.vec<Tlen>(); auto seq_lens_t = seq_lengths...