Upload segmentation.py
Browse files- segmentation.py +41 -10
segmentation.py
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@@ -156,10 +156,15 @@ def label_channel_bytes(n: int, k: int, table_size: int = SEG_TABLE_SIZE) -> int
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def pack_label_channel(labels: np.ndarray, k: int, table_size: int = SEG_TABLE_SIZE) -> bytes:
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flat = np.ascontiguousarray(labels, dtype=np.int64).ravel()
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n = int(flat.size)
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k = int(k)
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table_size = int(table_size)
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if k <= 16:
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if flat.size and int(flat.max()) > 15:
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raise ValueError(f"label {int(flat.max())} does not fit nibble packing (k={k})")
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@@ -167,7 +172,7 @@ def pack_label_channel(labels: np.ndarray, k: int, table_size: int = SEG_TABLE_S
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enc = 2 if table_size <= 256 else 3
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idx_dt = np.uint8 if enc == 2 else np.dtype("<u2")
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n_blocks = n // 256
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rows = flat.reshape(n_blocks, 256)
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lo = rows[:, 0::2]
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hi = rows[:, 1::2]
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packed_rows = (lo | (hi << 4)).astype(np.uint8) # (n_blocks, 128)
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@@ -193,9 +198,9 @@ def pack_label_channel(labels: np.ndarray, k: int, table_size: int = SEG_TABLE_S
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data = _pack_nibbles_1d(flat)
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else:
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enc = 1
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if flat.size and (int(
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raise ValueError("labels must be in [0, 255] for 8-bit packing")
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data = flat.
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return SEG_MAGIC + bytes([k, enc]) + _struct.pack("<I", n) + data
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@@ -260,6 +265,10 @@ def _segment_stage_dense(
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return order, labels, rounds
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def segment_stage(
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X: np.ndarray,
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W: np.ndarray | None,
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@@ -296,14 +305,21 @@ def segment_stage(
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col_abs = np.mean(np.abs(X_sample), axis=0)
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table_labels[2] = _order_to_canonical_labels(np.argsort(col_abs, kind="stable"), k).astype(np.uint8)
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# Entries 3..M-1: prototype blocks refined with the proxy
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Xp = Xf[proto_idx].astype(np.float64)
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Wp = None if W is None else np.asarray(W[proto_idx], dtype=np.float64)
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ord_p, _, rounds = _segment_stage_dense(Xp, Wp, cfg, proxy, k)
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for i in range(
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table_labels[3 + i] = _order_to_canonical_labels(ord_p[i], k).astype(np.uint8)
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table_orders = make_order(table_labels) # (M, 256) int64
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@@ -392,7 +408,22 @@ def segment_stage(
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best_local = np.argmin(sse, axis=1)
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best_m[s:e] = top_idx[np.arange(e - s), best_local]
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def q2k_proxy_cfg(clamp_val: float, cfg: HPCConfig):
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def pack_label_channel(labels: np.ndarray, k: int, table_size: int = SEG_TABLE_SIZE) -> bytes:
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k = int(k)
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table_size = int(table_size)
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# Fast path when segment_stage attached pre-packed LUT data
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lut_cache = getattr(labels, "_hpcq_lut_bytes", None)
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if lut_cache is not None and lut_cache[0] == (k, table_size):
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return lut_cache[1]
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flat = np.ascontiguousarray(labels, dtype=np.uint8).ravel()
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n = int(flat.size)
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if k <= 16:
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if flat.size and int(flat.max()) > 15:
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raise ValueError(f"label {int(flat.max())} does not fit nibble packing (k={k})")
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enc = 2 if table_size <= 256 else 3
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idx_dt = np.uint8 if enc == 2 else np.dtype("<u2")
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n_blocks = n // 256
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rows = flat.reshape(n_blocks, 256)
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lo = rows[:, 0::2]
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hi = rows[:, 1::2]
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packed_rows = (lo | (hi << 4)).astype(np.uint8) # (n_blocks, 128)
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data = _pack_nibbles_1d(flat)
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else:
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enc = 1
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if flat.size and (int(labels.max()) > 255 or int(labels.min()) < 0):
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raise ValueError("labels must be in [0, 255] for 8-bit packing")
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data = flat.tobytes()
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return SEG_MAGIC + bytes([k, enc]) + _struct.pack("<I", n) + data
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return order, labels, rounds
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class _LUTLabels(np.ndarray):
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_hpcq_lut_bytes: tuple[tuple[int, int], bytes] | None = None
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def segment_stage(
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X: np.ndarray,
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W: np.ndarray | None,
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col_abs = np.mean(np.abs(X_sample), axis=0)
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table_labels[2] = _order_to_canonical_labels(np.argsort(col_abs, kind="stable"), k).astype(np.uint8)
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# Entries 3..M-1: up to 253 prototype blocks refined with the proxy loop,
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# plus fast direct band_labels prototypes when M > 256
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n_need = M - 3
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n_dense = min(n_need, 253)
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proto_idx = np.linspace(0, n_blocks - 1, n_dense, dtype=np.int64)
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Xp = Xf[proto_idx].astype(np.float64)
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Wp = None if W is None else np.asarray(W[proto_idx], dtype=np.float64)
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ord_p, _, rounds = _segment_stage_dense(Xp, Wp, cfg, proxy, k)
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for i in range(n_dense):
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table_labels[3 + i] = _order_to_canonical_labels(ord_p[i], k).astype(np.uint8)
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if n_need > n_dense:
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extra_idx = np.linspace(1, n_blocks - 2, n_need - n_dense, dtype=np.int64)
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ord_e = make_order(band_labels(Xf[extra_idx].astype(np.float64), k))
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for i in range(n_need - n_dense):
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table_labels[3 + n_dense + i] = _order_to_canonical_labels(ord_e[i], k).astype(np.uint8)
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table_orders = make_order(table_labels) # (M, 256) int64
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best_local = np.argmin(sse, axis=1)
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best_m[s:e] = top_idx[np.arange(e - s), best_local]
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out_labels = table_labels[best_m].view(_LUTLabels)
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enc = 2 if M <= 256 else 3
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idx_dt = np.uint8 if enc == 2 else np.dtype("<u2")
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lo = table_labels[:, 0::2]
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hi = table_labels[:, 1::2]
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table_nib = (lo | (hi << 4)).astype(np.uint8)
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raw_lut = (
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SEG_MAGIC
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+ bytes([k, enc])
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+ _struct.pack("<I", n_blocks * 256)
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+ _struct.pack("<H", M)
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+ table_nib.tobytes()
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+ best_m.astype(idx_dt).tobytes()
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)
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out_labels._hpcq_lut_bytes = ((k, M), raw_lut)
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return table_orders[best_m], out_labels, rounds
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def q2k_proxy_cfg(clamp_val: float, cfg: HPCConfig):
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