[kernel] added half2 specialization for layernorm kernel #139
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guocuimi
reviewed
Apr 22, 2024
| } | ||
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| template <> | ||
| void invoke_layernorm_kernel<half2>(half2* out, |
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sounds this template specializations are optional since they are covered by the general template. no?
guocuimi
reviewed
Apr 22, 2024
| const float epsilon, | ||
| int m, | ||
| int n) { | ||
| int half_n = n / 2; |
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sounds you didn't cover this in unittest.
guocuimi
reviewed
Apr 22, 2024
| float* dinput; | ||
| float* dweight; | ||
| float* dbias; | ||
| cudaMalloc((void**)&dout, sizeof(float) * m * n); |
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use torch::tensor to allocate memory
guocuimi
reviewed
Apr 22, 2024
| torch::nn::functional::LayerNormFuncOptions({n}).weight(weight).bias( | ||
| bias)); | ||
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| half* hout = (half*)malloc(m * n * sizeof(half)); |
guocuimi
reviewed
Apr 22, 2024
| cudaMemcpy(dweight, hweight, sizeof(half) * n, cudaMemcpyHostToDevice); | ||
| cudaMemcpy(dbias, hbias, sizeof(half) * n, cudaMemcpyHostToDevice); | ||
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| llm::kernel::invoke_layernorm_kernel<half>( |
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just test llm::kernel::layer_norm instead but pass in different length of input to trigger different kernel.
guocuimi
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Apr 22, 2024
guocuimi
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dongxianzhe
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…nitest and just test llm::kernel::layer_norm
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optimize layernorm kernel using half2 type
test layernorm kernel