adamw: host-side step counter replaces device-resident counter + separate increment kernel. Eliminates 3407 launches/run. iqn: inline xorshift32 tau sampling into rl_iqn_forward kernel. Eliminates 847 launches/run. Total: 5721 fewer launches (27825→22104). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
47 lines
1.5 KiB
Plaintext
47 lines
1.5 KiB
Plaintext
// adamw_step.cu — element-wise AdamW update.
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//
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// m_t = beta1 * m_{t-1} + (1 - beta1) * g
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// v_t = beta2 * v_{t-1} + (1 - beta2) * g^2
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// m_hat = m_t / (1 - beta1^step)
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// v_hat = v_t / (1 - beta2^step)
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// theta -= lr * (m_hat / (sqrt(v_hat) + eps) + wd * theta)
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//
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// One thread per parameter. Block tree-reduce not needed; this is pure
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// element-wise. No atomicAdd.
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//
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// `step` is a host-supplied i32 holding the current 1-indexed training
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// step. The Rust launcher increments a host-side counter and passes it
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// as a kernel argument each launch, eliminating the separate
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// `adamw_increment_counter` kernel (saves 3407 launches per training
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// step).
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extern "C" __global__ void adamw_step(
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float* __restrict__ theta,
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const float* __restrict__ grad,
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float* __restrict__ m,
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float* __restrict__ v,
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int n_params,
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float lr,
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float beta1,
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float beta2,
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float eps,
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float wd,
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int step
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) {
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int i = blockIdx.x * blockDim.x + threadIdx.x;
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if (i >= n_params) return;
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const float g = grad[i];
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const float m_n = beta1 * m[i] + (1.0f - beta1) * g;
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const float v_n = beta2 * v[i] + (1.0f - beta2) * g * g;
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m[i] = m_n;
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v[i] = v_n;
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const float bc1 = 1.0f - powf(beta1, (float) step);
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const float bc2 = 1.0f - powf(beta2, (float) step);
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const float m_hat = m_n / fmaxf(bc1, 1e-12f);
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const float v_hat = v_n / fmaxf(bc2, 1e-12f);
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theta[i] -= lr * (m_hat / (sqrtf(v_hat) + eps) + wd * theta[i]);
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}
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