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model: add support for qwen3vl series (#16780)
* support qwen3vl series.
Co-authored-by: Thireus ☠ <Thireus@users.noreply.github.com>
Co-authored-by: yairpatch <yairpatch@users.noreply.github.com>
Co-authored-by: LETS-BEE <LETS-BEE@users.noreply.github.com>
* bugfix: fix the arch check for qwen3vl-moe.
* use build_ffn
* optimize deepstack structure
* optimize deepstack feature saving
* Revert "optimize deepstack feature saving" for temporal fix
This reverts commit f321b9fdf1.
* code clean
* use fused qkv in clip
* clean up / rm is_deepstack_layers for simplification
* add test model
* move test model to "big" section
* fix imrope check
* remove trailing whitespace
* fix rope fail
* metal : add imrope support
* add imrope support for sycl
* vulkan: add imrope w/o check
* fix vulkan
* webgpu: add imrope w/o check
* Update gguf-py/gguf/tensor_mapping.py
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* fix tensor mapping
---------
Co-authored-by: Thireus ☠ <Thireus@users.noreply.github.com>
Co-authored-by: yairpatch <yairpatch@users.noreply.github.com>
Co-authored-by: LETS-BEE <LETS-BEE@users.noreply.github.com>
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit is contained in:
co-authored by
Thireus ☠
yairpatch
LETS-BEE
Sigbjørn Skjæret
Xuan Son Nguyen
Georgi Gerganov
parent
dcca0d3ab8
commit
d261223d24
@@ -27,6 +27,7 @@ layout (push_constant) uniform parameter {
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uint s1;
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uint s2;
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int sections[4];
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uint is_imrope;
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uint is_back;
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uint set_rows_stride;
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} p;
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@@ -32,17 +32,29 @@ void main() {
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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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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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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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if (p.is_imrope != 0) {
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if (sector % 3 == 1 && sector < 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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} else if (sector % 3 == 2 && sector < 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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} else if (sector % 3 == 0 && sector < 3 * p.sections[0]) {
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theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
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} else {
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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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} else {
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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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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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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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}
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const float freq_factor = p.has_ff != 0 ? data_ff[i0/2] : 1.0f;
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