ggml : rms_norm in chunks

Author: ggerganov

ggml.c

@@ -9018,18 +9018,20 @@ static void ggml_compute_forward_rms_norm_f32(
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) {
+        atomic_store(params->aic, 0);
+
         return;
     }
 
     GGML_ASSERT(src0->nb[0] == sizeof(float));
 
-    const int ith = params->ith;
+    const int ith = params->ith; UNUSED(ith);
     const int nth = params->nth;
 
     const int64_t ne00 = src0->ne[0];
     const int64_t ne01 = src0->ne[1];
     const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
+    const int64_t ne03 = src0->ne[3]; UNUSED(ne03);
 
     const size_t nb01 = src0->nb[1];
     const size_t nb02 = src0->nb[2];
@@ -9041,30 +9043,45 @@ static void ggml_compute_forward_rms_norm_f32(
 
     const float eps = 1e-6f; // TODO: make this a parameter
 
-    // TODO: optimize
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        for (int64_t i02 = 0; i02 < ne02; i02++) {
-            for (int64_t i01 = ith; i01 < ne01; i01 += nth) {
-                const float * x = (float *) ((char *) src0->data + i01*nb01 + i02*nb02 + i03*nb03);
-
-                ggml_float sum = 0.0;
-                for (int64_t i00 = 0; i00 < ne00; i00++) {
-                    sum += (ggml_float)(x[i00] * x[i00]);
-                }
+    const int nr = ggml_nrows(src0);
+    const int dr = (nr + 8*nth - 1)/(8*nth);
 
-                float mean = sum/ne00;
+    while (true) {
+        const int ir0 = atomic_fetch_add(params->aic, dr);
 
-                float * y = (float *) ((char *) dst->data + i01*nb1 + i02*nb2 + i03*nb3);
+        for (int ir = ir0; ir < ir0 + dr; ++ir) {
+            if (ir >= nr) {
+                break;
+            }
 
-                memcpy(y, x, ne00 * sizeof(float));
-                // for (int i00 = 0; i00 < ne00; i00++) {
-                //     y[i00] = x[i00];
-                // }
+            // src0 indices
+            const int i03 = ir/(ne02*ne01);
+            const int i02 = (ir - i03*ne02*ne01)/ne01;
+            const int i01 = (ir - i03*ne02*ne01 - i02*ne01);
 
-                const float scale = 1.0f/sqrtf(mean + eps);
+            const float * x = (float *) ((char *) src0->data + i01*nb01 + i02*nb02 + i03*nb03);
 
-                ggml_vec_scale_f32(ne00, y, scale);
+            ggml_float sum = 0.0;
+            for (int64_t i00 = 0; i00 < ne00; i00++) {
+                sum += (ggml_float)(x[i00] * x[i00]);
             }
+
+            float mean = sum/ne00;
+
+            float * y = (float *) ((char *) dst->data + i01*nb1 + i02*nb2 + i03*nb3);
+
+            memcpy(y, x, ne00 * sizeof(float));
+            // for (int i00 = 0; i00 < ne00; i00++) {
+            //     y[i00] = x[i00];
+            // }
+
+            const float scale = 1.0f/sqrtf(mean + eps);
+
+            ggml_vec_scale_f32(ne00, y, scale);
+        }
+
+        if (ir0 + dr >= nr) {
+            break;
         }
     }
 }
@@ -9739,11 +9756,9 @@ static void ggml_compute_forward_mul_mat_q_f32(
     const int nb2  = dst->nb[2];
     const int nb3  = dst->nb[3];
 
-    const int ith = params->ith;
+    const int ith = params->ith; UNUSED(ith);
     const int nth = params->nth;
 
-    UNUSED(ith);
-
     GGML_ASSERT(ne02 == ne12);
     GGML_ASSERT(ne03 == ne13);
     GGML_ASSERT(ne2  == ne12);