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Merge commit 'f954edda935a70a14cf0cc45ecc7fe7d60cf3e4b' into archive_lib
# Conflicts: # ggml.c
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@@ -481,18 +481,18 @@ bool gpt2_eval(
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// KQ_scaled = KQ / sqrt(n_embd/n_head)
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// [n_past + N, N, 12]
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struct ggml_tensor * KQ_scaled =
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ggml_scale(ctx0,
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ggml_scale_inplace(ctx0,
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KQ,
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ggml_new_f32(ctx0, 1.0f/sqrt(float(n_embd)/n_head))
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);
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// KQ_masked = mask_past(KQ_scaled)
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// [n_past + N, N, 12]
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struct ggml_tensor * KQ_masked = ggml_diag_mask_inf(ctx0, KQ_scaled, n_past);
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struct ggml_tensor * KQ_masked = ggml_diag_mask_inf_inplace(ctx0, KQ_scaled, n_past);
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// KQ = soft_max(KQ_masked)
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// [n_past + N, N, 12]
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struct ggml_tensor * KQ_soft_max = ggml_soft_max(ctx0, KQ_masked);
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struct ggml_tensor * KQ_soft_max = ggml_soft_max_inplace(ctx0, KQ_masked);
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// V_trans = Vmem.view(n_embd/n_head, n_head, n_past + N).permute(1, 2, 0, 3).contiguous()
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// [n_past + N, 64, 12]
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@@ -619,7 +619,7 @@ bool gpt2_eval(
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inpL = ggml_mul_mat(ctx0, model.lm_head, inpL);
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// logits -> probs
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//inpL = ggml_soft_max(ctx0, inpL);
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//inpL = ggml_soft_max_inplace(ctx0, inpL);
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// run the computation
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ggml_build_forward_expand(&gf, inpL);
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