chore: import upstream snapshot with attribution

plugin/common/kernels/lReLU.cu

@@ -0,0 +1,49 @@
+/*
+ * 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 "common/kernels/kernel.h"
+namespace nvinfer1
+{
+namespace plugin
+{
+template <unsigned nthdsPerCTA>
+__launch_bounds__(nthdsPerCTA) __global__
+    void pReLUKernel(const int n, const float negativeSlope, const float* input, float* output)
+{
+    for (int i = blockIdx.x * nthdsPerCTA + threadIdx.x; i < n; i += gridDim.x * nthdsPerCTA)
+    {
+        output[i] = input[i] > 0 ? input[i] : input[i] * negativeSlope;
+    }
+}
+
+pluginStatus_t lReLUGPU(cudaStream_t stream, const int n, const float negativeSlope, const void* input, void* output)
+{
+    const int BS = 512;
+    const int GS = (n + BS - 1) / BS;
+    pReLUKernel<BS><<<GS, BS, 0, stream>>>(n, negativeSlope,
+                                           (const float*) input,
+                                           (float*) output);
+    return STATUS_SUCCESS;
+}
+
+pluginStatus_t lReLUInference(
+    cudaStream_t stream, const int n, const float negativeSlope, const void* input, void* output)
+{
+    return lReLUGPU(stream, n, negativeSlope, (const float*) input, (float*) output);
+}
+} // namespace plugin
+} // namespace nvinfer1