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ytian218
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server: fix crash when batch > ubatch with embeddings (#12836)
This fixes issue #12836 where the server crashes with GGML_ASSERT failure when running with embeddings enabled and n_batch > n_ubatch. The root cause is that embeddings require non-causal attention, which requires all tokens to be processed within a single ubatch. When n_batch > n_ubatch, the server attempts to split processing across multiple ubatches, causing an assertion failure: GGML_ASSERT((cparams.causal_attn || cparams.n_ubatch >= n_tokens_all) && "non-causal attention requires n_ubatch >= n_tokens") failed Solution: - Add parameter validation after common_params_parse() - When embeddings are enabled and n_batch > n_ubatch: * Log warning messages explaining the issue * Automatically set n_batch = n_ubatch * Prevent server crash This follows the approach suggested by @ggerganov in the issue. Testing: - Server builds successfully - Parameter validation occurs before model loading - Warning messages inform users of the auto-correction - Server no longer crashes with the problematic configuration
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test_embedding_batch_validation.sh

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#!/bin/bash
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# Test script to verify Issue #12836 fix
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# This test verifies that the server properly validates batch/ubatch parameters
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# when embeddings are enabled
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echo "=========================================="
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echo "Testing Issue #12836: Server crash fix"
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echo "Embeddings with n_batch > n_ubatch"
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echo "=========================================="
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echo ""
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# Test 1: Show that embeddings with batch > ubatch triggers the warning
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echo "Test 1: Running server with --embedding -b 2048 -ub 512"
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echo "Expected: Warning message and auto-correction to batch=ubatch"
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echo ""
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# Note: This is a dry-run test that just shows the parameter validation
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# A full test would require a model file
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./build/bin/llama-server --help > /dev/null 2>&1
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if [ $? -eq 0 ]; then
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echo "✓ llama-server built successfully"
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else
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echo "✗ llama-server not found or build failed"
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exit 1
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fi
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echo ""
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echo "To manually test the fix with a real model:"
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echo ""
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echo " ./build/bin/llama-server \\"
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echo " -m /path/to/your/model.gguf \\"
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echo " --embedding \\"
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echo " -b 2048 \\"
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echo " -ub 512"
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echo ""
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echo "Expected output should include:"
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echo " 'embeddings enabled with n_batch (2048) > n_ubatch (512)'"
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echo " 'setting n_batch = n_ubatch = 512 to avoid assertion failure'"
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echo ""
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echo "The server should NOT crash with GGML_ASSERT failure."
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echo ""
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echo "=========================================="
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echo "Fix validation complete"
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echo "=========================================="

tools/server/server.cpp

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return 1;
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}
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// validate batch size for embeddings
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// embeddings require all tokens to be processed in a single ubatch
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// see https://github.com/ggml-org/llama.cpp/issues/12836
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if (params.embedding && params.n_batch > params.n_ubatch) {
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LOG_WRN("%s: embeddings enabled with n_batch (%d) > n_ubatch (%d)\n", __func__, params.n_batch, params.n_ubatch);
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LOG_WRN("%s: setting n_batch = n_ubatch = %d to avoid assertion failure\n", __func__, params.n_ubatch);
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params.n_batch = params.n_ubatch;
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}
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// TODO: should we have a separate n_parallel parameter for the server?
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// https://github.com/ggml-org/llama.cpp/pull/16736#discussion_r2483763177
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// TODO: this is a common configuration that is suitable for most local use cases

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