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feat: add verbose logging and log-level selection (#1941)
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@@ -107,14 +107,14 @@ namespace ZImage {
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config.num_kv_heads = std::max<int64_t>(1, (qkv_heads - config.num_heads) / 2);
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}
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}
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LOG_DEBUG("z_image: num_layers = %" PRId64 ", num_refiner_layers = %" PRId64 ", hidden_size = %" PRId64 ", num_heads = %" PRId64 ", num_kv_heads = %" PRId64 ", in_channels = %" PRId64 ", out_channels = %" PRId64,
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config.num_layers,
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config.num_refiner_layers,
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config.hidden_size,
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config.num_heads,
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config.num_kv_heads,
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config.in_channels,
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config.out_channels);
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LOG_VERBOSE("z_image: num_layers = %" PRId64 ", num_refiner_layers = %" PRId64 ", hidden_size = %" PRId64 ", num_heads = %" PRId64 ", num_kv_heads = %" PRId64 ", in_channels = %" PRId64 ", out_channels = %" PRId64,
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config.num_layers,
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config.num_refiner_layers,
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config.hidden_size,
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config.num_heads,
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config.num_kv_heads,
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config.in_channels,
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config.out_channels);
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return config;
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}
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};
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@@ -603,7 +603,7 @@ namespace ZImage {
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circular_x_enabled,
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config.axes_dim);
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int pos_len = static_cast<int>(pe_vec.size() / config.axes_dim_sum / 2);
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// LOG_DEBUG("pos_len %d", pos_len);
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// LOG_VERBOSE("pos_len %d", pos_len);
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auto pe = ggml_new_tensor_4d(compute_ctx, GGML_TYPE_F32, 2, 2, config.axes_dim_sum / 2, pos_len);
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// pe->data = pe_vec.data();
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// print_ggml_tensor(pe, true, "pe");
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@@ -689,7 +689,7 @@ namespace ZImage {
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GGML_ASSERT(!out_opt.empty());
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out = std::move(out_opt);
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print_sd_tensor(out);
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LOG_DEBUG("z_image test done in %lldms", t1 - t0);
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LOG_VERBOSE("z_image test done in %lldms", t1 - t0);
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}
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}
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