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feat: add verbose logging and log-level selection (#1941)
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@@ -266,16 +266,16 @@ namespace Hunyuan {
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GGML_ASSERT(config.hidden_size / config.num_heads == config.axes_dim_sum);
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if (inferred) {
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LOG_DEBUG("hunyuan video: depth = %d, single depth = %d, in_channels = %" PRId64 ", out_channels = %" PRId64 ", hidden_size = %" PRId64 ", context_in_dim = %" PRId64 ", patch_size = %dx%dx%d",
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config.depth,
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config.depth_single_blocks,
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config.in_channels,
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config.out_channels,
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config.hidden_size,
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config.context_in_dim,
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std::get<0>(config.patch_size),
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std::get<1>(config.patch_size),
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std::get<2>(config.patch_size));
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LOG_VERBOSE("hunyuan video: depth = %d, single depth = %d, in_channels = %" PRId64 ", out_channels = %" PRId64 ", hidden_size = %" PRId64 ", context_in_dim = %" PRId64 ", patch_size = %dx%dx%d",
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config.depth,
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config.depth_single_blocks,
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config.in_channels,
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config.out_channels,
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config.hidden_size,
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config.context_in_dim,
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std::get<0>(config.patch_size),
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std::get<1>(config.patch_size),
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std::get<2>(config.patch_size));
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}
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return config;
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}
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@@ -615,7 +615,7 @@ namespace Hunyuan {
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config.theta,
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config.axes_dim);
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int64_t pos_len = static_cast<int64_t>(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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