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[Paddle Inference]Fix remove recover padding #46198

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Merged
qingqing01 merged 1 commit into from
Sep 19, 2022
Merged

[Paddle Inference]Fix remove recover padding #46198

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23 changes: 22 additions & 1 deletion paddle/fluid/inference/tensorrt/plugin/recover_padding_plugin.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -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],
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25 changes: 22 additions & 3 deletions paddle/fluid/inference/tensorrt/plugin/remove_padding_plugin.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -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],
Expand Down