GGML_API bool ggml_is_3d (const struct ggml_tensor * tensor);
GGML_API int ggml_n_dims (const struct ggml_tensor * tensor); // returns 1 for scalars
- GGML_API bool ggml_are_same_shape(const struct ggml_tensor * t0, const struct ggml_tensor * t1);
+ GGML_API bool ggml_are_same_shape (const struct ggml_tensor * t0, const struct ggml_tensor * t1);
+ GGML_API bool ggml_are_same_stride(const struct ggml_tensor * t0, const struct ggml_tensor * t1);
// use this to compute the memory overhead of a tensor
GGML_API size_t ggml_tensor_overhead(void);
} break;
case GGML_OP_FLASH_ATTN_EXT:
{
- GGML_ASSERT(ne00 % 4 == 0);
+ GGML_ASSERT(ne00 % 4 == 0);
+ GGML_ASSERT(ne11 % 32 == 0);
+
GGML_ASSERT(src0->type == GGML_TYPE_F32);
- struct ggml_tensor * src3 = gf->nodes[i]->src[3];
+ GGML_ASSERT(ggml_are_same_shape (src1, src2));
- GGML_ASSERT(ggml_are_same_shape(src1, src2));
- GGML_ASSERT(src3);
+ struct ggml_tensor * src3 = gf->nodes[i]->src[3];
size_t offs_src3 = 0;
GGML_ASSERT(!src3 || src3->ne[1] >= GGML_PAD(src0->ne[1], 8) &&
"the Flash-Attention Metal kernel requires the mask to be padded to 8 and at least n_queries big");
+ const uint64_t nb20 = src2 ? src2->nb[0] : 0; GGML_UNUSED(nb20);
+ const uint64_t nb21 = src2 ? src2->nb[1] : 0;
+ const uint64_t nb22 = src2 ? src2->nb[2] : 0;
+ const uint64_t nb23 = src2 ? src2->nb[3] : 0;
+
const int64_t ne30 = src3 ? src3->ne[0] : 0; GGML_UNUSED(ne30);
//const int64_t ne31 = src3 ? src3->ne[1] : 0;
const int64_t ne32 = src3 ? src3->ne[2] : 0; GGML_UNUSED(ne32);
[encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
[encoder setBuffer:id_src1 offset:offs_src1 atIndex:1];
[encoder setBuffer:id_src2 offset:offs_src2 atIndex:2];
- [encoder setBuffer:id_src3 offset:offs_src3 atIndex:3];
+ if (id_src3) {
+ [encoder setBuffer:id_src3 offset:offs_src3 atIndex:3];
+ } else {
+ [encoder setBuffer:id_src0 offset:offs_src0 atIndex:3];
+ }
[encoder setBuffer:id_dst offset:offs_dst atIndex:4];
- [encoder setBytes:&ne00 length:sizeof( int64_t) atIndex:5];
- [encoder setBytes:&ne01 length:sizeof( int64_t) atIndex:6];
- [encoder setBytes:&ne02 length:sizeof( int64_t) atIndex:7];
- [encoder setBytes:&ne03 length:sizeof( int64_t) atIndex:8];
- [encoder setBytes:&nb00 length:sizeof(uint64_t) atIndex:9];
- [encoder setBytes:&nb01 length:sizeof(uint64_t) atIndex:10];
- [encoder setBytes:&nb02 length:sizeof(uint64_t) atIndex:11];
- [encoder setBytes:&nb03 length:sizeof(uint64_t) atIndex:12];
- [encoder setBytes:&ne10 length:sizeof( int64_t) atIndex:13];
- [encoder setBytes:&ne11 length:sizeof( int64_t) atIndex:14];
- [encoder setBytes:&ne12 length:sizeof( int64_t) atIndex:15];
- [encoder setBytes:&ne13 length:sizeof( int64_t) atIndex:16];
- [encoder setBytes:&nb10 length:sizeof(uint64_t) atIndex:17];
- [encoder setBytes:&nb11 length:sizeof(uint64_t) atIndex:18];
- [encoder setBytes:&nb12 length:sizeof(uint64_t) atIndex:19];
- [encoder setBytes:&nb13 length:sizeof(uint64_t) atIndex:20];
- [encoder setBytes:&nb31 length:sizeof(uint64_t) atIndex:21];
- [encoder setBytes:&ne0 length:sizeof( int64_t) atIndex:22];
- [encoder setBytes:&ne1 length:sizeof( int64_t) atIndex:23];
- [encoder setBytes:&ne2 length:sizeof( int64_t) atIndex:24];
- [encoder setBytes:&ne3 length:sizeof( int64_t) atIndex:25];
- [encoder setBytes:&scale length:sizeof( float) atIndex:26];
- [encoder setBytes:&max_bias length:sizeof( float) atIndex:27];
- [encoder setBytes:&m0 length:sizeof(m0) atIndex:28];
- [encoder setBytes:&m1 length:sizeof(m1) atIndex:29];
- [encoder setBytes:&n_head_log2 length:sizeof(n_head_log2) atIndex:30];
+ [encoder setBytes:&ne01 length:sizeof( int64_t) atIndex:5];
+ [encoder setBytes:&ne02 length:sizeof( int64_t) atIndex:6];
+ [encoder setBytes:&ne03 length:sizeof( int64_t) atIndex:7];
+ [encoder setBytes:&nb01 length:sizeof(uint64_t) atIndex:8];
+ [encoder setBytes:&nb02 length:sizeof(uint64_t) atIndex:9];
+ [encoder setBytes:&nb03 length:sizeof(uint64_t) atIndex:10];
+ [encoder setBytes:&ne11 length:sizeof( int64_t) atIndex:11];
+ [encoder setBytes:&ne12 length:sizeof( int64_t) atIndex:12];
+ [encoder setBytes:&ne13 length:sizeof( int64_t) atIndex:13];
+ [encoder setBytes:&nb11 length:sizeof(uint64_t) atIndex:14];
+ [encoder setBytes:&nb12 length:sizeof(uint64_t) atIndex:15];
+ [encoder setBytes:&nb13 length:sizeof(uint64_t) atIndex:16];
+ [encoder setBytes:&nb21 length:sizeof(uint64_t) atIndex:17];
+ [encoder setBytes:&nb22 length:sizeof(uint64_t) atIndex:18];
+ [encoder setBytes:&nb23 length:sizeof(uint64_t) atIndex:19];
+ [encoder setBytes:&nb31 length:sizeof(uint64_t) atIndex:20];
+ [encoder setBytes:&ne1 length:sizeof( int64_t) atIndex:21];
+ [encoder setBytes:&ne2 length:sizeof( int64_t) atIndex:22];
+ [encoder setBytes:&scale length:sizeof( float) atIndex:23];
+ [encoder setBytes:&max_bias length:sizeof( float) atIndex:24];
+ [encoder setBytes:&m0 length:sizeof(m0) atIndex:25];
+ [encoder setBytes:&m1 length:sizeof(m1) atIndex:26];
+ [encoder setBytes:&n_head_log2 length:sizeof(n_head_log2) atIndex:27];
if (!use_vec_kernel) {
// half8x8 kernel
device const char * v,
device const char * mask,
device float * dst,
- constant int64_t & ne00,
constant int64_t & ne01,
constant int64_t & ne02,
constant int64_t & ne03,
- constant uint64_t & nb00,
constant uint64_t & nb01,
constant uint64_t & nb02,
constant uint64_t & nb03,
- constant int64_t & ne10,
constant int64_t & ne11,
constant int64_t & ne12,
constant int64_t & ne13,
- constant uint64_t & nb10,
constant uint64_t & nb11,
constant uint64_t & nb12,
constant uint64_t & nb13,
+ constant uint64_t & nb21,
+ constant uint64_t & nb22,
+ constant uint64_t & nb23,
constant uint64_t & nb31,
- constant int64_t & ne0,
constant int64_t & ne1,
constant int64_t & ne2,
- constant int64_t & ne3,
constant float & scale,
constant float & max_bias,
constant float & m0,
device const char * v,
device const char * mask,
device float * dst,
- constant int64_t & ne00,
constant int64_t & ne01,
constant int64_t & ne02,
constant int64_t & ne03,
- constant uint64_t & nb00,
constant uint64_t & nb01,
constant uint64_t & nb02,
constant uint64_t & nb03,
- constant int64_t & ne10,
constant int64_t & ne11,
constant int64_t & ne12,
constant int64_t & ne13,
- constant uint64_t & nb10,
constant uint64_t & nb11,
constant uint64_t & nb12,
constant uint64_t & nb13,
+ constant uint64_t & nb21,
+ constant uint64_t & nb22,
+ constant uint64_t & nb23,
constant uint64_t & nb31,
- constant int64_t & ne0,
constant int64_t & ne1,
constant int64_t & ne2,
- constant int64_t & ne3,
constant float & scale,
constant float & max_bias,
constant float & m0,
const short ne22 = ne12;
const short ne23 = ne13;
- const uint nb21 = nb11;
- const uint nb22 = nb12;
- const uint nb23 = nb13;
-
// broadcast
const short rk2 = ne02/ne12;
const short rk3 = ne03/ne13;
simdgroup_multiply_accumulate(mqk, mq[i], mk, mqk);
}
- // mqk = mqk*scale + mask*slope
- simdgroup_half8x8 mm;
- simdgroup_load(mm, mp + ic + 8*cc, nb31/sizeof(half), 0, false);
- simdgroup_multiply(mm, mslope, mm);
- simdgroup_multiply_accumulate(mqk, mqk, mscale, mm);
+ if (mask != q) {
+ // mqk = mqk*scale + mask*slope
+ simdgroup_half8x8 mm;
+ simdgroup_load(mm, mp + ic + 8*cc, nb31/sizeof(half), 0, false);
+ simdgroup_multiply(mm, mslope, mm);
+ simdgroup_multiply_accumulate(mqk, mqk, mscale, mm);
+ } else {
+ // mqk = mqk*scale
+ simdgroup_multiply(mqk, mscale, mqk);
+ }
simdgroup_store(mqk, ss + 8*cc, TF, 0, false);
}
device const char * v,
device const char * mask,
device float * dst,
- constant int64_t & ne00,
constant int64_t & ne01,
constant int64_t & ne02,
constant int64_t & ne03,
- constant uint64_t & nb00,
constant uint64_t & nb01,
constant uint64_t & nb02,
constant uint64_t & nb03,
- constant int64_t & ne10,
constant int64_t & ne11,
constant int64_t & ne12,
constant int64_t & ne13,
- constant uint64_t & nb10,
constant uint64_t & nb11,
constant uint64_t & nb12,
constant uint64_t & nb13,
+ constant uint64_t & nb21,
+ constant uint64_t & nb22,
+ constant uint64_t & nb23,
constant uint64_t & nb31,
- constant int64_t & ne0,
constant int64_t & ne1,
constant int64_t & ne2,
- constant int64_t & ne3,
constant float & scale,
constant float & max_bias,
constant float & m0,
const short ne22 = ne12;
const short ne23 = ne13;
- const uint nb21 = nb11;
- const uint nb22 = nb12;
- const uint nb23 = nb13;
-
// broadcast
const short rk2 = ne02/ne12;
const short rk3 = ne03/ne13;
// mqk = mqk*scale + mask*slope
if (tiisg == 0) {
- float4 mm = (float4) mp4[ic/4 + cc];
- mqk = mqk*scale + mm*slope;
+ mqk = mqk*scale + ((mask != q) ? ((float4) mp4[ic/4 + cc])*slope : (float4) 0.0f);
ss4[cc] = mqk;
}
(t0->ne[3] == t1->ne[3] );
}
+bool ggml_are_same_stride(const struct ggml_tensor * t0, const struct ggml_tensor * t1) {
+ static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
+
+ return
+ (t0->nb[0] == t1->nb[0] ) &&
+ (t0->nb[1] == t1->nb[1] ) &&
+ (t0->nb[2] == t1->nb[2] ) &&
+ (t0->nb[3] == t1->nb[3] );
+}
+
// check if t1 can be represented as a repeatition of t0
static inline bool ggml_can_repeat(const struct ggml_tensor * t0, const struct ggml_tensor * t1) {
static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
const int64_t kv; // kv size
const int64_t nb; // batch size
+ const bool mask; // use mask
+
const float max_bias; // ALiBi
std::string vars() override {
- return VARS_TO_STR5(hs, nh, kv, nb, max_bias);
+ return VARS_TO_STR6(hs, nh, kv, nb, mask, max_bias);
}
double max_nmse_err() override {
return 5e-4;
}
- test_flash_attn_ext(int64_t hs = 128, int64_t nh = 32, int64_t kv = 96, int64_t nb = 8, float max_bias = 0.0f)
- : hs(hs), nh(nh), kv(kv), nb(nb), max_bias(max_bias) {}
+ test_flash_attn_ext(int64_t hs = 128, int64_t nh = 32, int64_t kv = 96, int64_t nb = 8, bool mask = true, float max_bias = 0.0f)
+ : hs(hs), nh(nh), kv(kv), nb(nb), mask(mask), max_bias(max_bias) {}
ggml_tensor * build_graph(ggml_context * ctx) override {
ggml_tensor * q = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, hs, nb, nh, 1);
ggml_tensor * k = ggml_new_tensor_4d(ctx, GGML_TYPE_F16, hs, kv, nh, 1);
ggml_tensor * v = ggml_new_tensor_4d(ctx, GGML_TYPE_F16, hs, kv, nh, 1);
- ggml_tensor * mask = ggml_new_tensor_4d(ctx, GGML_TYPE_F16, kv, GGML_PAD(nb, GGML_KQ_MASK_PAD), 1, 1);
- ggml_tensor * out = ggml_flash_attn_ext(ctx, q, k, v, mask, 1.0f/sqrtf(hs), max_bias);
+ ggml_tensor * m = mask ? ggml_new_tensor_4d(ctx, GGML_TYPE_F16, kv, GGML_PAD(nb, GGML_KQ_MASK_PAD), 1, 1) : nullptr;
+ ggml_tensor * out = ggml_flash_attn_ext(ctx, q, k, v, m, 1.0f/sqrtf(hs), max_bias);
return out;
}
};
test_cases.emplace_back(new test_leaky_relu());
for (int hs : { 64, 80, 128, 256, }) {
- for (float max_bias : {0.0f, 8.0f}) {
- for (int nh : { 32, }) {
- for (int kv : { 512, 1024, }) {
- for (int nb : { 1, 2, 4, 8, }) {
- test_cases.emplace_back(new test_flash_attn_ext(hs, nh, kv, nb, max_bias));
+ for (bool mask : { true, false } ) {
+ for (float max_bias : { 0.0f, 8.0f }) {
+ if (!mask && max_bias > 0.0f) continue;
+ for (int nh : { 32, }) {
+ for (int kv : { 512, 1024, }) {
+ for (int nb : { 1, 2, 4, 8, }) {
+ test_cases.emplace_back(new test_flash_attn_ext(hs, nh, kv, nb, mask, max_bias));
+ }
}
}
}