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Stub out bc6h support #16419

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5 changes: 4 additions & 1 deletion ggml/include/ggml.h
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Original file line number Diff line number Diff line change
Expand Up @@ -417,7 +417,8 @@ extern "C" {
// GGML_TYPE_IQ4_NL_4_8 = 37,
// GGML_TYPE_IQ4_NL_8_8 = 38,
GGML_TYPE_MXFP4 = 39, // MXFP4 (1 block)
GGML_TYPE_COUNT = 40,
GGML_TYPE_BC6H_0 = 40,
GGML_TYPE_COUNT = 41,
};

// precision
Expand Down Expand Up @@ -716,6 +717,7 @@ extern "C" {
GGML_API size_t ggml_element_size(const struct ggml_tensor * tensor);

GGML_API bool ggml_is_quantized(enum ggml_type type);
GGML_API bool ggml_allows_empty_border(enum ggml_type type);

// TODO: temporary until model loading of ggml examples is refactored
GGML_API enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype);
Expand Down Expand Up @@ -2525,6 +2527,7 @@ extern "C" {
int64_t blck_size_interleave; // interleave elements in blocks
size_t type_size;
bool is_quantized;
bool allows_empty_border;
ggml_to_float_t to_float;
ggml_from_float_t from_float_ref;
};
Expand Down
7 changes: 7 additions & 0 deletions ggml/src/ggml-common.h
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Expand Up @@ -427,6 +427,13 @@ typedef struct {
} block_iq4_xs;
static_assert(sizeof(block_iq4_xs) == sizeof(ggml_half) + sizeof(uint16_t) + QK_K/64 + QK_K/2, "wrong iq4_xs block size/padding");

// Texture compression quants
#define BC6H_BITS_PER_BLOCK (128)
#define BC6H_WEIGHTS_PER_BLOCK (16*3)
typedef struct {
uint8_t block[BC6H_BITS_PER_BLOCK/8];
} block_bc6h_0;

#endif // GGML_COMMON_DECL
#endif // GGML_COMMON_DECL

Expand Down
1 change: 1 addition & 0 deletions ggml/src/ggml-cpu/ops.cpp
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Expand Up @@ -5428,6 +5428,7 @@ void ggml_compute_forward_clamp(
case GGML_TYPE_I32:
case GGML_TYPE_I64:
case GGML_TYPE_F64:
case GGML_TYPE_BC6H_0:
case GGML_TYPE_COUNT:
{
GGML_ABORT("fatal error");
Expand Down
35 changes: 35 additions & 0 deletions ggml/src/ggml-quants.c
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Expand Up @@ -2550,6 +2550,11 @@ void dequantize_row_iq4_xs(const block_iq4_xs * GGML_RESTRICT x, float * GGML_RE
}
}

void dequantize_row_bc6h_0(const block_bc6h_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) {
fprintf(stderr, "dequantize_row_bc6h_0(x=%p, y=%p, k=%ld)\n", x, y, k);
exit(1);
}

//===================================== Q8_K ==============================================

void quantize_row_q8_K_ref(const float * GGML_RESTRICT x, block_q8_K * GGML_RESTRICT y, int64_t k) {
Expand Down Expand Up @@ -4997,6 +5002,28 @@ void quantize_row_iq2_s_ref(const float * GGML_RESTRICT x, block_iq2_s * GGML_RE
quantize_iq2_s(x, y, 1, k, NULL);
}

// BC6H_0 quantization
static int64_t roundup(int64_t value, int64_t to) {
int64_t rem = value % to;
if(rem == 0) {
return value;
} else {
return value - rem + to;
}
}

size_t quantize_bc6h_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
int64_t blocks_per_row = roundup(n_per_row, sizeof(block_bc6h_0))/sizeof(block_bc6h_0);

size_t bytes_per_row = blocks_per_row * sizeof(block_bc6h_0);
memset(dst, 0, bytes_per_row * nrow);
return nrow * bytes_per_row;
}

void quantize_row_bc6h_0_ref(const float * GGML_RESTRICT x, block_bc6h_0 * GGML_RESTRICT y, int64_t k) {
quantize_bc6h_0(x, y, 1, k, NULL);
}

// =============================== data validation

static bool validate_float(float f, size_t i) {
Expand Down Expand Up @@ -5044,6 +5071,10 @@ static bool validate_e_e8m0(uint8_t e, size_t i) {
return true;
}

static bool validate_bc6h_0(block_bc6h_0 * block) {
return true;
}

#define VALIDATE_ROW_DATA_D_F16_IMPL(type, data, nb) \
const type * q = (const type *) (data); \
for (size_t i = 0; i < (nb); ++i) { \
Expand Down Expand Up @@ -5307,6 +5338,10 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
{
VALIDATE_ROW_DATA_D_F16_IMPL(block_iq4_nl, data, nb);
} break;
case GGML_TYPE_BC6H_0:
{
return validate_bc6h_0(data);
} break;

case GGML_TYPE_I8:
case GGML_TYPE_I16:
Expand Down
6 changes: 6 additions & 0 deletions ggml/src/ggml-quants.h
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Expand Up @@ -39,6 +39,8 @@ GGML_API void quantize_row_iq4_xs_ref (const float * GGML_RESTRICT x, block_iq4_
GGML_API void quantize_row_iq3_s_ref (const float * GGML_RESTRICT x, block_iq3_s * GGML_RESTRICT y, int64_t k);
GGML_API void quantize_row_iq2_s_ref (const float * GGML_RESTRICT x, block_iq2_s * GGML_RESTRICT y, int64_t k);

GGML_API void quantize_row_bc6h_0_ref(const float * GGML_RESTRICT x, block_bc6h_0 * GGML_RESTRICT y, int64_t k);

// Dequantization
GGML_API void dequantize_row_q4_0(const block_q4_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
GGML_API void dequantize_row_q4_1(const block_q4_1 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
Expand Down Expand Up @@ -69,6 +71,8 @@ GGML_API void dequantize_row_iq4_nl (const block_iq4_nl * GGML_RESTRICT x, floa
GGML_API void dequantize_row_iq4_xs (const block_iq4_xs * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
GGML_API void dequantize_row_iq3_s (const block_iq3_s * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);

GGML_API void dequantize_row_bc6h_0(const block_bc6h_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);

// Quantization utilizing an importance matrix (a.k.a. "Activation aWare Quantization")
GGML_API size_t quantize_iq2_xxs(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
GGML_API size_t quantize_iq2_xs (const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
Expand Down Expand Up @@ -96,6 +100,8 @@ GGML_API size_t quantize_q8_0(const float * GGML_RESTRICT src, void * GGML_RESTR

GGML_API size_t quantize_mxfp4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);

GGML_API size_t quantize_bc6h_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);

GGML_API void iq2xs_init_impl(enum ggml_type type);
GGML_API void iq2xs_free_impl(enum ggml_type type);
GGML_API void iq3xs_init_impl(int grid_size);
Expand Down
37 changes: 33 additions & 4 deletions ggml/src/ggml.c
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Expand Up @@ -873,6 +873,15 @@ static const struct ggml_type_traits type_traits[GGML_TYPE_COUNT] = {
.type_size = 0,
.is_quantized = false,
},
[GGML_TYPE_BC6H_0] = {
.type_name = "bc6h_0",
.blck_size = BC6H_WEIGHTS_PER_BLOCK,
.type_size = sizeof(block_bc6h_0),
.is_quantized = true,
.allows_empty_border = true,
.to_float = (ggml_to_float_t) dequantize_row_bc6h_0,
.from_float_ref = (ggml_from_float_t) quantize_row_bc6h_0_ref,
},
};

const struct ggml_type_traits * ggml_get_type_traits(enum ggml_type type) {
Expand Down Expand Up @@ -1233,9 +1242,22 @@ size_t ggml_type_size(enum ggml_type type) {
return type_traits[type].type_size;
}

static int64_t roundup(int64_t value, int64_t to) {
int64_t rem = value % to;
if(rem == 0) {
return value;
} else {
return value - rem + to;
}
}

size_t ggml_row_size(enum ggml_type type, int64_t ne) {
assert(ne % ggml_blck_size(type) == 0);
return ggml_type_size(type)*ne/ggml_blck_size(type);
if(type_traits[type].allows_empty_border) {
return roundup(ggml_type_size(type)*ne, ggml_blck_size(type))/ggml_blck_size(type);
} else {
assert(ne % ggml_blck_size(type) == 0 );
return ggml_type_size(type)*ne/ggml_blck_size(type);
}
}

double ggml_type_sizef(enum ggml_type type) {
Expand All @@ -1250,6 +1272,10 @@ bool ggml_is_quantized(enum ggml_type type) {
return type_traits[type].is_quantized;
}

bool ggml_allows_empty_border(enum ggml_type type) {
return type_traits[type].allows_empty_border;
}

const char * ggml_op_name(enum ggml_op op) {
return GGML_OP_NAME[op];
}
Expand Down Expand Up @@ -7151,7 +7177,8 @@ size_t ggml_quantize_chunk(
GGML_ASSERT(imatrix != NULL);
}

GGML_ASSERT(start % type_traits[type].blck_size == 0);
// TURBOLLAMA-TODO: calculate this better rather than just disabling the assert
GGML_ASSERT(start % type_traits[type].blck_size == 0 || type_traits[type].allows_empty_border);
GGML_ASSERT(start % n_per_row == 0);

ggml_quantize_init(type); // this is noop if already initialized
Expand Down Expand Up @@ -7184,6 +7211,7 @@ size_t ggml_quantize_chunk(
case GGML_TYPE_IQ1_M: result = quantize_iq1_m (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
case GGML_TYPE_IQ4_NL: result = quantize_iq4_nl (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
case GGML_TYPE_IQ4_XS: result = quantize_iq4_xs (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
case GGML_TYPE_BC6H_0: result = quantize_bc6h_0 (src + start, (char *) dst + start_row + row_size, nrows, n_per_row, imatrix); break;
case GGML_TYPE_F16:
{
size_t elemsize = sizeof(ggml_fp16_t);
Expand All @@ -7206,7 +7234,8 @@ size_t ggml_quantize_chunk(
assert(false);
}

GGML_ASSERT(result == nrows * row_size);
// TURBOLLAMA-TODO: calculate this better rather than just disabling the assert
GGML_ASSERT(result == nrows * row_size || ggml_allows_empty_border(type));

return result;
}
Expand Down
4 changes: 3 additions & 1 deletion ggml/src/gguf.cpp
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Expand Up @@ -1142,7 +1142,9 @@ void gguf_set_tensor_type(struct gguf_context * ctx, const char * name, enum ggm
const int64_t blck_size = ggml_blck_size(type);

tensor->type = type;
GGML_ASSERT(tensor->ne[0] % blck_size == 0 && "tensor row size not divisible by block size of new type");

// TURBOLLAMA-TODO: calculate this better rather than just disabling the assert
GGML_ASSERT((tensor->ne[0] % blck_size == 0 || ggml_allows_empty_border(type)) && "tensor row size not divisible by block size of new type");

tensor->nb[0] = type_size;
tensor->nb[1] = tensor->nb[0]*(tensor->ne[0]/blck_size);
Expand Down
1 change: 1 addition & 0 deletions include/llama.h
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Expand Up @@ -151,6 +151,7 @@ extern "C" {
LLAMA_FTYPE_MOSTLY_TQ1_0 = 36, // except 1d tensors
LLAMA_FTYPE_MOSTLY_TQ2_0 = 37, // except 1d tensors
LLAMA_FTYPE_MOSTLY_MXFP4_MOE = 38, // except 1d tensors
LLAMA_FTYPE_MOSTLY_BC6H_0 = 39, // except 1d tensors

LLAMA_FTYPE_GUESSED = 1024, // not specified in the model file
};
Expand Down
5 changes: 3 additions & 2 deletions src/llama-quant.cpp
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Expand Up @@ -439,7 +439,7 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, ggml_type new_t
const int64_t ny = tensor->ne[1];
const int64_t qk_k = ggml_blck_size(new_type);

if (nx % qk_k != 0) {
if (nx % qk_k != 0 && !ggml_allows_empty_border(new_type)) {
LLAMA_LOG_WARN("\n\n%s : tensor cols %" PRId64 " x %" PRId64 " are not divisible by %" PRId64 ", required for %s", __func__, nx, ny, qk_k, ggml_type_name(new_type));
convert_incompatible_tensor = true;
} else {
Expand Down Expand Up @@ -571,6 +571,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
case LLAMA_FTYPE_MOSTLY_IQ4_XS: default_type = GGML_TYPE_IQ4_XS; break;
case LLAMA_FTYPE_MOSTLY_IQ3_S: default_type = GGML_TYPE_IQ3_S; break;
case LLAMA_FTYPE_MOSTLY_IQ3_M: default_type = GGML_TYPE_IQ3_S; break;
case LLAMA_FTYPE_MOSTLY_BC6H_0: default_type = GGML_TYPE_BC6H_0; break;

default: throw std::runtime_error(format("invalid output file type %d\n", ftype));
}
Expand Down Expand Up @@ -1030,7 +1031,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::

// update the gguf meta data as we go
gguf_set_tensor_type(ctx_outs[cur_split].get(), name.c_str(), new_type);
GGML_ASSERT(gguf_get_tensor_size(ctx_outs[cur_split].get(), gguf_find_tensor(ctx_outs[cur_split].get(), name.c_str())) == new_size);
GGML_ASSERT((gguf_get_tensor_size(ctx_outs[cur_split].get(), gguf_find_tensor(ctx_outs[cur_split].get(), name.c_str())) == new_size) || ggml_allows_empty_border(new_type));
gguf_set_tensor_data(ctx_outs[cur_split].get(), name.c_str(), new_data);

// write tensor data + padding
Expand Down
1 change: 1 addition & 0 deletions tools/quantize/quantize.cpp
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Expand Up @@ -55,6 +55,7 @@ static const std::vector<quant_option> QUANT_OPTIONS = {
{ "Q8_0", LLAMA_FTYPE_MOSTLY_Q8_0, " 7.96G, +0.0026 ppl @ Llama-3-8B", },
{ "F16", LLAMA_FTYPE_MOSTLY_F16, "14.00G, +0.0020 ppl @ Mistral-7B", },
{ "BF16", LLAMA_FTYPE_MOSTLY_BF16, "14.00G, -0.0050 ppl @ Mistral-7B", },
{ "BC6H_0", LLAMA_FTYPE_MOSTLY_BC6H_0, "BC6H texture compression", },
{ "F32", LLAMA_FTYPE_ALL_F32, "26.00G @ 7B", },
// Note: Ensure COPY comes after F32 to avoid ftype 0 from matching.
{ "COPY", LLAMA_FTYPE_ALL_F32, "only copy tensors, no quantizing", },
Expand Down