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import threading
def is_valid_linear_block_sparse_pattern(row_block_size, col_block_size):
return (row_block_size == 1 and col_block_size == 4) or \
(row_block_size == 8 and col_block_size == 1)
# This is a stop-gap measure as current flow does not allow module
# specific block sparse pattern.
# Infact there is no way to convey sparse pattern via module config
# of quantization flow. Thus using the global context to convey
# sparsity pattern.
# Once the flow supports it, this should be removed.
class LinearBlockSparsePattern:
rlock = threading.RLock()
row_block_size = 1
col_block_size = 4
prev_row_block_size = 1
prev_col_block_size = 4
def __init__(self, row_block_size=1, col_block_size=4):
assert(is_valid_linear_block_sparse_pattern(row_block_size, col_block_size))
LinearBlockSparsePattern.rlock.acquire()
LinearBlockSparsePattern.prev_row_block_size = LinearBlockSparsePattern.row_block_size
LinearBlockSparsePattern.prev_col_block_size = LinearBlockSparsePattern.col_block_size
LinearBlockSparsePattern.row_block_size = row_block_size
LinearBlockSparsePattern.col_block_size = col_block_size
def __enter__(self):
pass
def __exit__(self, exc_type, exc_value, backtrace):
LinearBlockSparsePattern.row_block_size = LinearBlockSparsePattern.prev_row_block_size
LinearBlockSparsePattern.col_block_size = LinearBlockSparsePattern.prev_col_block_size
LinearBlockSparsePattern.rlock.release()
@staticmethod
def block_size():
return LinearBlockSparsePattern.row_block_size, LinearBlockSparsePattern.col_block_size
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