chore: import upstream snapshot with attribution

plugin/groupNormalizationPlugin/groupNormalizationKernel.cu

@@ -0,0 +1,63 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed 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.
+ */
+
+#include "groupNormalizationPlugin.h"
+
+namespace nvinfer1
+{
+namespace plugin
+{
+
+template <typename T, unsigned TPB>
+__global__ void scaleShiftChannelsInplaceKernel(T* inOut, const int ld, const float* beta, const float* gamma)
+{
+    // grid is blocks x C x B
+    // ld should be H*W
+    // blockIdx.z = batch
+    // blockIdx.y = channel
+    // blockIdx.x = block per col
+    const T b = beta[blockIdx.y];
+    const T g = gamma[blockIdx.y];
+
+    const int offset = (blockIdx.z * gridDim.y + blockIdx.y) * ld;
+
+    const int tx = blockIdx.x * TPB + threadIdx.x;
+
+    if (tx < ld)
+    {
+        inOut[offset + tx] = g * inOut[offset + tx] + b;
+    }
+}
+
+template <typename T>
+cudaError_t scaleShiftChannelsInplace(T* inOut, const int B, const int C, const int channelVolume, const float* beta,
+    const float* gamma, cudaStream_t stream)
+{
+
+    constexpr int TPB = 256;
+    const int colBlocks = (channelVolume + TPB - 1) / TPB;
+    const dim3 grid(colBlocks, C, B);
+
+    scaleShiftChannelsInplaceKernel<T, TPB><<<grid, TPB, 0, stream>>>(inOut, channelVolume, beta, gamma);
+
+    return cudaPeekAtLastError();
+}
+
+template cudaError_t scaleShiftChannelsInplace<float>(float* inOut, const int B, const int C, const int channelVolume, const float* beta,
+    const float* gamma, cudaStream_t stream);
+} /* plugin */
+} /* nvinfer1 */