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try to fix ci compile errors (+1 squashed commits)
Squashed commits: [d0d49663] fixed log multiline (+1 squashed commits) Squashed commits: [81a8befe] try to fix linux build error (+1 squashed commits) Squashed commits: [22850dda] try to fix build (+1 squashed commits) Squashed commits: [b8294611] missing type
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6 changed files with 52 additions and 38 deletions
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@ -15,6 +15,9 @@
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#include "unet.hpp"
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#include "vae.hpp"
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#include <inttypes.h>
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#include <cinttypes>
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const char* model_version_to_str[] = {
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"1.x",
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"2.x",
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@ -487,7 +490,7 @@ public:
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// }
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int64_t t1 = ggml_time_ms();
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LOG_DEBUG("computing condition graph completed, taking %" PRId64 " ms", t1 - t0);
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LOG_DEBUG("computing condition graph completed, taking %d ms", (int)(t1 - t0));
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ggml_tensor* result = ggml_dup_tensor(work_ctx, hidden_states);
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{
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float original_mean = ggml_tensor_mean(hidden_states);
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@ -628,7 +631,7 @@ public:
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print_ggml_tensor(y);
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}
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int64_t t1 = ggml_time_ms();
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LOG_DEBUG("computing svd condition graph completed, taking %" PRId64 " ms", t1 - t0);
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LOG_DEBUG("computing svd condition graph completed, taking %d ms",(int)(t1 - t0));
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return {c_crossattn, c_concat, y};
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}
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@ -1392,7 +1395,7 @@ sd_image_t* txt2img(sd_ctx_t* sd_ctx,
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uc_vector = uncond_pair.second; // [adm_in_channels, ]
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}
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t1 = ggml_time_ms();
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LOG_INFO("get_learned_condition completed, taking %" PRId64 " ms", t1 - t0);
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LOG_INFO("get_learned_condition completed, taking %d ms", (int)(t1 - t0));
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if (sd_ctx->sd->free_params_immediately) {
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sd_ctx->sd->cond_stage_model->free_params_buffer();
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@ -1446,7 +1449,7 @@ sd_image_t* txt2img(sd_ctx_t* sd_ctx,
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sd_ctx->sd->diffusion_model->free_params_buffer();
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}
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int64_t t3 = ggml_time_ms();
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LOG_INFO("generating %" PRId64 " latent images completed, taking %.2fs", final_latents.size(), (t3 - t1) * 1.0f / 1000);
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LOG_INFO("generating %d latent images completed, taking %.2fs", final_latents.size(), (t3 - t1) * 1.0f / 1000);
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LOG_INFO("decoding %zu latents", final_latents.size());
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std::vector<struct ggml_tensor*> decoded_images; // collect decoded images
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@ -1458,7 +1461,7 @@ sd_image_t* txt2img(sd_ctx_t* sd_ctx,
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decoded_images.push_back(img);
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}
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int64_t t2 = ggml_time_ms();
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LOG_INFO("latent %" PRId64 " decoded, taking %.2fs", i + 1, (t2 - t1) * 1.0f / 1000);
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LOG_INFO("latent %d decoded, taking %.2fs", i + 1, (t2 - t1) * 1.0f / 1000);
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}
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int64_t t4 = ggml_time_ms();
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@ -1577,7 +1580,7 @@ sd_image_t* img2img(sd_ctx_t* sd_ctx,
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uc_vector = uncond_pair.second; // [adm_in_channels, ]
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}
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int64_t t2 = ggml_time_ms();
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LOG_INFO("get_learned_condition completed, taking %" PRId64 " ms", t2 - t1);
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LOG_INFO("get_learned_condition completed, taking %d ms", (int)(t2 - t1));
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if (sd_ctx->sd->free_params_immediately) {
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sd_ctx->sd->cond_stage_model->free_params_buffer();
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}
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@ -1710,7 +1713,7 @@ SD_API sd_image_t* img2vid(sd_ctx_t* sd_ctx,
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uc_vector = ggml_dup_tensor(work_ctx, c_vector);
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int64_t t1 = ggml_time_ms();
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LOG_INFO("get_learned_condition completed, taking %" PRId64 " ms", t1 - t0);
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LOG_INFO("get_learned_condition completed, taking %d ms", (int)(t1 - t0));
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if (sd_ctx->sd->free_params_immediately) {
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sd_ctx->sd->clip_vision->free_params_buffer();
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}
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