ggml : fix ggml_get_rows to take into account ne02 / ne11

Author: ggerganov

ggml.c

@@ -10342,20 +10342,27 @@ static void ggml_compute_forward_get_rows_q(
         return;
     }
 
-    const int nc = src0->ne[0];
-    const int nr = ggml_nelements(src1);
+    GGML_TENSOR_BINARY_OP_LOCALS
+
+    const int64_t nc = ne00;
+    const int64_t nr = ggml_nelements(src1);
+
     const enum ggml_type type = src0->type;
     ggml_to_float_t const dequantize_row_q = type_traits[type].to_float;
 
-    assert(     dst->ne[0] == nc);
+    assert(ne0  == nc);
+    assert(ne02 == ne11);
+    assert(nb00 == ggml_type_size(type));
     assert(ggml_nrows(dst) == nr);
-    assert(src0->nb[0] == ggml_type_size(type));
 
-    for (int i = 0; i < nr; ++i) {
-        const int r = ((int32_t *) src1->data)[i];
+    // TODO: multi-thread
+    for (int64_t i = 0; i < nr; ++i) {
+        const int64_t r = ((int32_t *) src1->data)[i];
+
+        const int64_t i02 = i/ne10;
 
         dequantize_row_q(
-                (const void *) ((char *) src0->data + r*src0->nb[1]),
+                (const void *) ((char *) src0->data + i02*nb02 + r*nb01),
                      (float *) ((char *)  dst->data + i*dst->nb[1]), nc);
     }
 }
@@ -10371,19 +10378,25 @@ static void ggml_compute_forward_get_rows_f16(
         return;
     }
 
-    const int nc = src0->ne[0];
-    const int nr = ggml_nelements(src1);
+    GGML_TENSOR_BINARY_OP_LOCALS
+
+    const int64_t nc = ne00;
+    const int64_t nr = ggml_nelements(src1);
 
-    assert(     dst->ne[0] == nc);
+    assert(ne0  == nc);
+    assert(ne02 == ne11);
+    assert(nb00 == sizeof(ggml_fp16_t));
     assert(ggml_nrows(dst) == nr);
-    assert(src0->nb[0] == sizeof(ggml_fp16_t));
 
-    for (int i = 0; i < nr; ++i) {
-        const int r = ((int32_t *) src1->data)[i];
+    // TODO: multi-thread
+    for (int64_t i = 0; i < nr; ++i) {
+        const int64_t r = ((int32_t *) src1->data)[i];
+
+        const int64_t i02 = i/ne10;
 
         for (int j = 0; j < nc; ++j) {
-            ggml_fp16_t v = ((ggml_fp16_t *) ((char *) src0->data + r*src0->nb[1]))[j];
-            ((float *) ((char *)  dst->data + i*dst->nb[1]))[j] = GGML_FP16_TO_FP32(v);
+            ggml_fp16_t v = ((ggml_fp16_t *) ((char *) src0->data + i02*nb02 + r*nb01))[j];
+            ((float *) ((char *) dst->data + i*dst->nb[1]))[j] = GGML_FP16_TO_FP32(v);
         }
     }
 }
@@ -10399,19 +10412,25 @@ static void ggml_compute_forward_get_rows_f32(
         return;
     }
 
-    const int nc = src0->ne[0];
-    const int nr = ggml_nelements(src1);
+    GGML_TENSOR_BINARY_OP_LOCALS
+
+    const int64_t nc = ne00;
+    const int64_t nr = ggml_nelements(src1);
 
-    assert(     dst->ne[0] == nc);
+    assert(ne0  == nc);
+    assert(ne02 == ne11);
+    assert(nb00 == sizeof(float));
     assert(ggml_nrows(dst) == nr);
-    assert(src0->nb[0] == sizeof(float));
 
-    for (int i = 0; i < nr; ++i) {
-        const int r = ((int32_t *) src1->data)[i];
+    // TODO: multi-thread
+    for (int64_t i = 0; i < nr; ++i) {
+        const int64_t r = ((int32_t *) src1->data)[i];
+
+        const int64_t i02 = i/ne10;
 
         ggml_vec_cpy_f32(nc,
                 (float *) ((char *)  dst->data + i*dst->nb[1]),
-                (float *) ((char *) src0->data + r*src0->nb[1]));
+                (float *) ((char *) src0->data + i02*nb02 + r*nb01));
     }
 }