Support YaRN models (#1264)
Signed-off-by: Antoni Baum <antoni.baum@protonmail.com> Co-authored-by: Viktor Ferenczi <viktor@ferenczi.eu> Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
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@@ -16,8 +16,8 @@ __global__ void silu_and_mul_kernel(
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scalar_t* __restrict__ out, // [..., d]
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const scalar_t* __restrict__ input, // [..., 2, d]
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const int d) {
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const int token_idx = blockIdx.x;
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for (int idx = threadIdx.x; idx < d; idx += blockDim.x) {
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const int64_t token_idx = blockIdx.x;
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for (int64_t idx = threadIdx.x; idx < d; idx += blockDim.x) {
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const scalar_t x = __ldg(&input[token_idx * 2 * d + idx]);
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const scalar_t y = __ldg(&input[token_idx * 2 * d + d + idx]);
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out[token_idx * d + idx] = silu(x) * y;
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@@ -30,7 +30,7 @@ void silu_and_mul(
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torch::Tensor& out, // [..., d]
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torch::Tensor& input) // [..., 2 * d]
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{
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int num_tokens = input.numel() / input.size(-1);
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int64_t num_tokens = input.numel() / input.size(-1);
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int d = input.size(-1) / 2;
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dim3 grid(num_tokens);
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@@ -55,8 +55,8 @@ __global__ void activation_kernel(
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scalar_t* __restrict__ out, // [..., d]
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const scalar_t* __restrict__ input, // [..., d]
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const int d) {
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const int token_idx = blockIdx.x;
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for (int idx = threadIdx.x; idx < d; idx += blockDim.x) {
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const int64_t token_idx = blockIdx.x;
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for (int64_t idx = threadIdx.x; idx < d; idx += blockDim.x) {
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const scalar_t x = __ldg(&input[token_idx * d + idx]);
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out[token_idx * d + idx] = ACT_FN(x);
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}
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@@ -67,7 +67,7 @@ __global__ void activation_kernel(
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// Launch element-wise activation kernel.
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#define LAUNCH_ACTIVATION_KERNEL(KERNEL) \
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int d = input.size(-1); \
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int num_tokens = input.numel() / d; \
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int64_t num_tokens = input.numel() / d; \
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dim3 grid(num_tokens); \
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dim3 block(std::min(d, 1024)); \
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const cudaStream_t stream = at::cuda::getCurrentCUDAStream(); \
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