fix_recover_remove_padding kernel (#46050)

paddle/fluid/inference/tensorrt/plugin/recover_padding_plugin.cu

@@ -118,7 +118,28 @@ int RecoverPaddingPlugin::enqueue(const nvinfer1::PluginTensorDesc* inputDesc,
   const int32_t* input1 =
       static_cast<const int32_t*>(inputs[1]);  // pos_id_tensor
   float* output = static_cast<float*>(outputs[0]);
-  const int32_t num_threads = 256;
+  int32_t num_threads;
+  if (input0_desc.dims.d[1] % 512 == 0) {
+    num_threads = 512;
+  } else if (input0_desc.dims.d[1] % 256 == 0) {
+    num_threads = 256;
+  } else if (input0_desc.dims.d[1] % 128 == 0) {
+    num_threads = 128;
+  } else if (input0_desc.dims.d[1] % 64 == 0) {
+    num_threads = 64;
+  } else if (input0_desc.dims.d[1] % 32 == 0) {
+    num_threads = 32;
+  } else if (input0_desc.dims.d[1] % 16 == 0) {
+    num_threads = 16;
+  } else if (input0_desc.dims.d[1] % 8 == 0) {
+    num_threads = 8;
+  } else if (input0_desc.dims.d[1] % 4 == 0) {
+    num_threads = 4;
+  } else if (input0_desc.dims.d[1] % 2 == 0) {
+    num_threads = 2;
+  } else {
+    num_threads = 1;
+  }
   const dim3 num_blocks(
       input1_desc.dims.d[0] - 1,
       input2_desc.dims.d[1],

paddle/fluid/inference/tensorrt/plugin/remove_padding_plugin.cu

@@ -110,10 +110,29 @@ int RemovePaddingPlugin::enqueue(const nvinfer1::PluginTensorDesc* inputDesc,
   const int32_t* input1 =
       static_cast<const int32_t*>(inputs[1]);  // pos_id_tensor
   float* output = static_cast<float*>(outputs[0]);
-
   const auto input0_desc = inputDesc[0];
-
-  const int32_t num_threads = 256;
+  int32_t num_threads;
+  if (input0_desc.dims.d[2] % 512 == 0) {
+    num_threads = 512;
+  } else if (input0_desc.dims.d[2] % 256 == 0) {
+    num_threads = 256;
+  } else if (input0_desc.dims.d[2] % 128 == 0) {
+    num_threads = 128;
+  } else if (input0_desc.dims.d[2] % 64 == 0) {
+    num_threads = 64;
+  } else if (input0_desc.dims.d[2] % 32 == 0) {
+    num_threads = 32;
+  } else if (input0_desc.dims.d[2] % 16 == 0) {
+    num_threads = 16;
+  } else if (input0_desc.dims.d[2] % 8 == 0) {
+    num_threads = 8;
+  } else if (input0_desc.dims.d[2] % 4 == 0) {
+    num_threads = 4;
+  } else if (input0_desc.dims.d[2] % 2 == 0) {
+    num_threads = 2;
+  } else {
+    num_threads = 1;
+  }
   const dim3 num_blocks(
       input0_desc.dims.d[0],
       input0_desc.dims.d[1],