mirror of
https://github.com/likelovewant/ollama-for-amd.git
synced 2025-12-26 08:33:21 +00:00
@@ -11,6 +11,7 @@ package ggml
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import "C"
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import (
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"cmp"
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"context"
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"encoding/binary"
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"errors"
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@@ -1490,14 +1491,7 @@ func (t *Tensor) View(ctx ml.Context, offset int, shape ...int) ml.Tensor {
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func (t *Tensor) RoPE(ctx ml.Context, positions ml.Tensor, ropeDim int, ropeBase, ropeScale float32, options ...func(*rope.Options)) ml.Tensor {
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// Default options
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opts := rope.Options{
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Factors: &Tensor{},
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OriginalContextLength: 131072,
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ExtrapolationFactor: 0.,
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AttentionFactor: 1.,
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BetaFast: 32.,
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BetaSlow: 1.,
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}
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opts := rope.Options{Factors: &Tensor{}}
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// Apply any provided options
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for _, option := range options {
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@@ -1509,24 +1503,44 @@ func (t *Tensor) RoPE(ctx ml.Context, positions ml.Tensor, ropeDim int, ropeBase
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dequant = C.ggml_cast(ctx.(*Context).ctx, t.t, C.GGML_TYPE_F32)
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}
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return &Tensor{
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b: t.b,
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t: C.ggml_rope_ext(
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var tt *C.struct_ggml_tensor
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if len(opts.MRoPE.Sections) > 0 {
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mropeSections := make([]C.int32_t, 4)
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for i, section := range opts.MRoPE.Sections {
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mropeSections[i] = C.int32_t(section)
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}
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tt = C.ggml_rope_multi(
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ctx.(*Context).ctx,
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dequant,
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positions.(*Tensor).t,
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opts.Factors.(*Tensor).t,
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C.int(ropeDim),
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unsafe.SliceData(mropeSections),
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C.int(opts.Type),
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C.int(opts.OriginalContextLength),
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C.float(ropeBase),
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C.float(ropeScale),
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C.float(opts.ExtrapolationFactor),
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C.float(opts.AttentionFactor),
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C.float(opts.BetaFast),
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C.float(opts.BetaSlow),
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),
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cmp.Or(C.int(opts.YaRN.OriginalContextLength), 128<<10),
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C.float(ropeBase), C.float(ropeScale),
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C.float(opts.YaRN.ExtrapolationFactor),
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cmp.Or(C.float(opts.YaRN.AttentionFactor), 1),
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cmp.Or(C.float(opts.YaRN.BetaFast), 32),
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cmp.Or(C.float(opts.YaRN.BetaSlow), 1),
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)
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} else {
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tt = C.ggml_rope_ext(
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ctx.(*Context).ctx,
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dequant,
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positions.(*Tensor).t,
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opts.Factors.(*Tensor).t,
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C.int(ropeDim), C.int(opts.Type),
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cmp.Or(C.int(opts.YaRN.OriginalContextLength), 128<<10),
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C.float(ropeBase), C.float(ropeScale),
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C.float(opts.YaRN.ExtrapolationFactor),
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cmp.Or(C.float(opts.YaRN.AttentionFactor), 1),
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cmp.Or(C.float(opts.YaRN.BetaFast), 32),
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cmp.Or(C.float(opts.YaRN.BetaSlow), 1),
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)
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}
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return &Tensor{b: t.b, t: tt}
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}
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func (t *Tensor) IM2Col(ctx ml.Context, t2 ml.Tensor, s0, s1, p0, p1, d0, d1 int) ml.Tensor {
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7
ml/backend/ggml/ggml/src/ggml-cpu/ops.cpp
vendored
7
ml/backend/ggml/ggml/src/ggml-cpu/ops.cpp
vendored
@@ -5509,15 +5509,12 @@ static void ggml_mrope_cache_init(
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}
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float theta = theta_t;
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if (sector >= sections[0] && sector < sec_w) {
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if (sector % 3 == 1 && sector < 1 + 3 * sections[1]) {
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theta = theta_h;
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}
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else if (sector >= sec_w && sector < sec_w + sections[2]) {
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else if (sector % 3 == 2 && sector < 2 + 3 * sections[2]) {
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theta = theta_w;
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}
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else if (sector >= sec_w + sections[2]) {
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theta = theta_e;
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}
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rope_yarn(
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theta/ff, freq_scale, corr_dims, i0, ext_factor, mscale, &cache[i0 + 0], &cache[i0 + 1]
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12
ml/backend/ggml/ggml/src/ggml-cuda/rope.cu
vendored
12
ml/backend/ggml/ggml/src/ggml-cuda/rope.cu
vendored
@@ -151,19 +151,13 @@ static __global__ void rope_multi(
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const int sec_w = sections.v[1] + sections.v[0];
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const int sector = (i0 / 2) % sect_dims;
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float theta_base = 0.0;
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if (sector < sections.v[0]) {
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theta_base = pos[channel_x]*powf(theta_scale, i0/2.0f);
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}
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else if (sector >= sections.v[0] && sector < sec_w) {
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float theta_base = pos[channel_x]*powf(theta_scale, i0/2.0f);
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if (sector % 3 == 1 && sector < 1 + 3 * sections.v[1]) {
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theta_base = pos[channel_x + ne2 * 1]*powf(theta_scale, i0/2.0f);
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}
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else if (sector >= sec_w && sector < sec_w + sections.v[2]) {
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else if (sector % 3 == 2 && sector < 2 + 3 * sections.v[2]) {
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theta_base = pos[channel_x + ne2 * 2]*powf(theta_scale, i0/2.0f);
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}
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else if (sector >= sec_w + sections.v[2]) {
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theta_base = pos[channel_x + ne2 * 3]*powf(theta_scale, i0/2.0f);
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}
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const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
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@@ -6523,15 +6523,11 @@ kernel void kernel_rope_multi(
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const int sec_w012 = args.sect_0 + args.sect_1 + args.sect_2; // end of section 2
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const int sector = ic % sect_dims;
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float theta_base;
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if (sector < args.sect_0) {
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theta_base = (float) pos[i2];
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} else if (sector < sec_w01) {
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float theta_base = (float) pos[i2];
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if (sector % 3 == 1 && sector < 1 + 3 * args.sect_1) {
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theta_base = (float) pos[i2 + args.ne02];
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} else if (sector < sec_w012) {
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} else if (sector % 3 == 2 && sector < 2 + 3 * args.sect_2) {
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theta_base = (float) pos[i2 + args.ne02 * 2];
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} else {
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theta_base = (float) pos[i2 + args.ne02 * 3];
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}
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// end of mrope
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@@ -3858,15 +3858,11 @@ kernel void kernel_rope_multi(
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const int sec_w012 = args.sect_0 + args.sect_1 + args.sect_2; // end of section 2
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const int sector = ic % sect_dims;
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float theta_base;
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if (sector < args.sect_0) {
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theta_base = (float) pos[i2];
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} else if (sector < sec_w01) {
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float theta_base = (float) pos[i2];
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if (sector % 3 == 1 && sector < 1 + 3 * args.sect_1) {
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theta_base = (float) pos[i2 + args.ne02];
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} else if (sector < sec_w012) {
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} else if (sector % 3 == 2 && sector < 2 + 3 * args.sect_2) {
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theta_base = (float) pos[i2 + args.ne02 * 2];
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} else {
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theta_base = (float) pos[i2 + args.ne02 * 3];
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}
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// end of mrope
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@@ -31,19 +31,13 @@ void main() {
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const int sec_w = p.sections[1] + p.sections[0];
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const uint sector = (i0 / 2) % sect_dims;
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float theta_base = 0.0;
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if (sector < p.sections[0]) {
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theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
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}
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else if (sector >= p.sections[0] && sector < sec_w) {
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float theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
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if (sector % 3 == 1 && sector < 1 + 3 * p.sections[1]) {
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theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
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}
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else if (sector >= sec_w && sector < sec_w + p.sections[2]) {
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else if (sector % 3 == 2 && sector < 2 + 3 * p.sections[2]) {
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theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
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}
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else if (sector >= sec_w + p.sections[2]) {
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theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
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}
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const float freq_factor = p.has_ff != 0 ? data_ff[i0/2] : 1.0f;
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@@ -4,21 +4,21 @@ import "github.com/ollama/ollama/ml"
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// Options contains optional parameters for RoPE function
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type Options struct {
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Type int
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Factors ml.Tensor
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OriginalContextLength int
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Type int
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Factors ml.Tensor
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// YaRN options
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ExtrapolationFactor,
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AttentionFactor,
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BetaFast,
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BetaSlow float32
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}
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YaRN struct {
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OriginalContextLength int
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ExtrapolationFactor,
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AttentionFactor,
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BetaFast,
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BetaSlow float32
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}
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// WithOriginalContextLength sets a custom context length
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func WithOriginalContextLength(n int) func(*Options) {
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return func(opts *Options) {
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opts.OriginalContextLength = n
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// MRoPE options
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MRoPE struct {
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Sections []int
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}
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}
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@@ -38,14 +38,28 @@ func WithFactors(factors ml.Tensor) func(*Options) {
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}
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}
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// WithOriginalContextLength sets a custom context length
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func WithOriginalContextLength(n int) func(*Options) {
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return func(opts *Options) {
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opts.YaRN.OriginalContextLength = n
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}
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}
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func WithExtrapolationFactor(extrapolationFactor float32) func(*Options) {
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return func(opts *Options) {
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opts.ExtrapolationFactor = extrapolationFactor
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opts.YaRN.ExtrapolationFactor = extrapolationFactor
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}
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}
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func WithAttentionFactor(attentionFactor float32) func(*Options) {
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return func(opts *Options) {
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opts.AttentionFactor = attentionFactor
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opts.YaRN.AttentionFactor = attentionFactor
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}
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}
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func WithMRoPESections(sections []int) func(*Options) {
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return func(opts *Options) {
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opts.Type |= 1 << 3
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opts.MRoPE.Sections = sections
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}
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}
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Reference in New Issue
Block a user