echo / code /inference /memory_baselines_basic /run_infer_spatial_mem.sh
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Add Echo-Memory codebase used for this run (CC BY 4.0, JD Echo Team) (part 4)
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#!/bin/bash
# Inference: spatial_mem
# Corresponds to: train/memory_baselines_basic/run_spatial_memory_baseline.sh
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
source "${SCRIPT_DIR}/common_env.sh"
: "${CKPT:?ERROR: set CKPT to your spatial_mem checkpoint path}"
OUTPUT="${INFER_OUTPUT_ROOT}/spatial_mem_$(date +%Y%m%d_%H%M%S).mp4"
EXTRA_ARGS=()
if [ -n "${CONTEXT_IMAGE}" ]; then
EXTRA_ARGS+=(--context_image "${CONTEXT_IMAGE}")
fi
if [ -n "${ACTION_PATH}" ]; then
EXTRA_ARGS+=(--action_path "${ACTION_PATH}")
fi
python inference/unified_inference.py \
--ckpt "${CKPT}" \
--memory_type spatial_mem \
--base_model "${WAN_BASE_MODEL}" \
--prompt "${PROMPT}" \
"${EXTRA_ARGS[@]}" \
--height "${HEIGHT}" --width "${WIDTH}" --num_frames "${NUM_FRAMES}" \
--seed "${SEED}" --num_inference_steps "${NUM_INFERENCE_STEPS}" \
--sigma_shift "${SIGMA_SHIFT}" --cfg_scale "${CFG_SCALE}" --fps "${FPS}" \
--output_path "${OUTPUT}"