mirror of https://github.com/ollama/ollama.git
84 lines
2.8 KiB
Go
84 lines
2.8 KiB
Go
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package ggml
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// #cgo CPPFLAGS: -I${SRCDIR}/ggml/src
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// #include <stdlib.h>
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// #include <stdint.h>
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// #include "ggml.h"
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// #include "ggml-cpu.h"
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// #include "ggml-backend.h"
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// #include "ggml-quants.h"
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import "C"
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import (
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"unsafe"
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fsggml "github.com/ollama/ollama/fs/ggml"
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)
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// convertToF32 converts (dequantizes) the raw data to F32 so we can then quantize it
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func ConvertToF32(data []byte, dtype uint32, nelements uint64) []float32 {
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f32s := make([]float32, nelements)
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elems := C.int64_t(nelements)
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switch dtype {
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case C.GGML_TYPE_F16:
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C.ggml_fp16_to_fp32_row((*C.uint16_t)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q4_0:
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C.dequantize_row_q4_0((*C.block_q4_0)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q4_1:
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C.dequantize_row_q4_1((*C.block_q4_1)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q5_0:
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C.dequantize_row_q5_0((*C.block_q5_0)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q5_1:
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C.dequantize_row_q5_1((*C.block_q5_1)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q8_0:
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C.dequantize_row_q8_0((*C.block_q8_0)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q2_K:
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C.dequantize_row_q2_K((*C.block_q2_K)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q3_K:
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C.dequantize_row_q3_K((*C.block_q3_K)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q4_K:
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C.dequantize_row_q4_K((*C.block_q4_K)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q5_K:
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C.dequantize_row_q5_K((*C.block_q5_K)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_Q6_K:
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C.dequantize_row_q6_K((*C.block_q6_K)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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case C.GGML_TYPE_BF16:
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C.ggml_bf16_to_fp32_row((*C.ggml_bf16_t)(unsafe.Pointer(&data[0])), (*C.float)(&f32s[0]), elems)
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default:
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panic("unsupported quantization format")
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}
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return f32s
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}
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func Quantize(newType fsggml.TensorType, f32s []float32, shape []uint64) []byte {
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buf := make([]byte, len(f32s)*4) // upper bound on size
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nPerRow := C.int64_t(shape[0])
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nrows := C.int64_t(1)
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if len(shape) > 1 {
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nrows = C.int64_t(shape[1])
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}
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shape2 := C.int64_t(1)
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if len(shape) > 2 {
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shape2 = C.int64_t(shape[2])
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}
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nelements_matrix := nPerRow * nrows
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newSize := C.size_t(0)
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for i03 := C.int64_t(0); i03 < shape2; i03++ {
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f32s_03 := i03 * nelements_matrix
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buf_03 := C.int64_t(C.ggml_row_size(uint32(newType), nPerRow)) * i03 * nrows
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newSize += C.ggml_quantize_chunk(
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uint32(newType),
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(*C.float)(&f32s[f32s_03]),
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unsafe.Pointer((uintptr)(unsafe.Pointer(&buf[0]))+uintptr(buf_03)),
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0,
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nrows,
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nPerRow,
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nil)
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}
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return buf[:newSize]
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}
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func QuantizationVersion() uint32 {
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return uint32(C.GGML_QNT_VERSION)
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}
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