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@ -140,19 +140,20 @@ void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int |
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check_error(cudaPeekAtLastError()); |
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} |
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__global__ void adam_kernel(int N, float *x, float *m, float *v, float B1, float B2, float rate, float eps, int t) |
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{ |
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int index = (blockIdx.x + blockIdx.y*gridDim.x) * blockDim.x + threadIdx.x; |
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if (index >= N) return; |
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x[index] = x[index] - (rate * sqrtf(1.F-powf(B2, t)) / (1.F-powf(B1, t)) * m[index] / (sqrtf(v[index]) + eps)); |
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//if(index == 0) printf("%f %f %f %f\n", m[index], v[index], (rate * sqrtf(1.F-powf(B2, t)) / (1.F-powf(B1, t)) * m[index] / (sqrt(v[index]) + eps))); |
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float mhat = m[index] / (1.f - powf(B1, t)); |
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float vhat = v[index] / (1.f - powf(B2, t)); |
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x[index] = x[index] + rate * mhat / (sqrtf(vhat) + eps); |
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} |
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extern "C" void adam_gpu(int n, float *x, float *m, float *v, float B1, float B2, float rate, float eps, int t) |
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{ |
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adam_kernel<<<cuda_gridsize(n), BLOCK>>>(n, x, m, v, B1, B2, rate, eps, t); |
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adam_kernel << <cuda_gridsize(n), BLOCK >> >(n, x, m, v, B1, B2, rate, eps, t); |
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check_error(cudaPeekAtLastError()); |
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} |
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