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feat: support packed INT4 convrot models (#2276)
Co-authored-by: noctrex <noctrex@gmail.com>
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@@ -92,11 +92,11 @@ namespace Krea2 {
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continue;
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}
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if (ends_with(name, "first.weight") && tensor_storage.n_dims == 2) {
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config.in_channels = tensor_storage.ne[0] / (config.patch_size * config.patch_size);
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config.in_channels = tensor_storage.logical_ne0() / (config.patch_size * config.patch_size);
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config.out_channels = config.in_channels;
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config.features = tensor_storage.ne[1];
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} else if (ends_with(name, "blocks.0.attn.qknorm.qnorm.scale") && tensor_storage.n_dims == 1) {
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detected_head_dim = tensor_storage.ne[0];
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detected_head_dim = tensor_storage.logical_ne0();
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} else if (ends_with(name, "blocks.0.attn.wq.weight") && tensor_storage.n_dims == 2) {
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if (detected_head_dim > 0) {
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config.heads = tensor_storage.ne[1] / detected_head_dim;
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@@ -106,11 +106,11 @@ namespace Krea2 {
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config.kv_heads = tensor_storage.ne[1] / detected_head_dim;
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}
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} else if (ends_with(name, "txtfusion.projector.weight") && tensor_storage.n_dims == 2) {
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config.text_layers = tensor_storage.ne[0];
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config.text_layers = tensor_storage.logical_ne0();
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} else if (ends_with(name, "txtfusion.layerwise_blocks.0.prenorm.scale") && tensor_storage.n_dims == 1) {
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config.text_dim = tensor_storage.ne[0];
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config.text_dim = tensor_storage.logical_ne0();
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} else if (ends_with(name, "txtfusion.layerwise_blocks.0.attn.qknorm.qnorm.scale") && tensor_storage.n_dims == 1) {
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detected_text_head_dim = tensor_storage.ne[0];
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detected_text_head_dim = tensor_storage.logical_ne0();
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} else if (ends_with(name, "txtfusion.layerwise_blocks.0.attn.wq.weight") && tensor_storage.n_dims == 2) {
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if (detected_text_head_dim > 0) {
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config.text_heads = tensor_storage.ne[1] / detected_text_head_dim;
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