AI代码解释 staticinlinevoid*_Nonnull_objc_encodeTaggedPointer(uintptr_t ptr){uintptr_t value=(objc_debug_taggedpointer_obfuscator^ptr);return(void*)value;}staticinline uintptr_t_objc_decodeTaggedPointer_noPermute(constvoid*_Nullable ptr){uintptr_t value=(uintptr_t)ptr;returnvalue^objc_debug_...
points = points.permute(0, 2, 1) if self.group_all: new_xyz, new_points = sample_and_group_all(xyz, points) else: new_xyz, new_points = sample_and_group(self.npoint, self.radius, self.nsample, xyz, points) new_points = new_points.permute(0, 3, 2, 1) for i, conv in enum...
MethodType.methodType(String.class, String.class)); SwitchPoint spt = new SwitchPoint(); assert(!spt.hasBeenInvalidated()); // the following steps may be repeated to re-use the same switch point: MethodHandle worker1 = MH_strcat; MethodHandle worker2 = MethodHandles.permuteArguments(MH_strcat...
permute(0, 2, 1) 2) 使用SG模块进行局部特征提取 代码如下: new_xyz, new_feature = sample_and_group(npoint=512, nsample=32, xyz=xyz, points=x) feature_0 = self.gather_local_0(new_feature) feature = feature_0.permute(0, 2, 1) new_xyz, new_feature = sample_and_group(npoint=256...
where it simultaneously weights and permutes the input features before applying a typical convolution on the transformed features, is known as X-Conv. Another feature of PointCNN that makes it appealing is its capability to consider the point shapes while being invariant to order - making it ideal...
# Compute the dense keypoint scorescPa=self.relu(self.convPa(x))scores=self.convPb(cPa)# DIM: N x 65 x H/8 x W/8scores=torch.nn.functional.softmax(scores,1)[:,:-1]# DIM: N x 64 x H/8 x W/8b,_,h,w=scores.shapescores=scores.permute(0,2,3,1).reshape(b,h,w,8,8)...
spt.hasBeenInvalidated()); // the following steps may be repeated to re-use the same switch point: MethodHandle worker1 = MH_strcat; MethodHandle worker2 = MethodHandles.permuteArguments(MH_strcat, MH_strcat.type(), 1, 0); MethodHandle worker = spt.guardWithTest(worker1, worker2); ...
PointCNN [15] proposed an X-Conv operator that weights and permutes input points and features based on spatially local correlation in the point clouds. PointRCNN [2] extends [1] for 3D object detection. First, 3D bounding box proposals are generated in a bottom-up scheme, assisted by ...
spt.hasBeenInvalidated()); // the following steps may be repeated to re-use the same switch point: MethodHandle worker1 = MH_strcat; MethodHandle worker2 = MethodHandles.permuteArguments(MH_strcat, MH_strcat.type(), 1, 0); MethodHandle worker = spt.guardWithTest(worker1, worker2); ...
VEX.256.66.0F38.W0 16 /r VPERMPS ymm1, ymm2, ymm3/m256 A V/V AVX2 Permute single-precision floating-point elements in ymm3/m256 using indices in ymm2 and store the result in ymm1. EVEX.256.66.0F38.W0 16 /r VPERMPS ymm1 {k1}{z}, ymm2, ymm3/m256/m32bcst B V/V AVX...