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## @package algebra
# Module caffe2.python.helpers.algebra
def transpose(model, blob_in, blob_out, use_cudnn=False, **kwargs):
"""Transpose."""
if use_cudnn:
kwargs['engine'] = 'CUDNN'
return model.net.Transpose(blob_in, blob_out, **kwargs)
def sum(model, blob_in, blob_out, **kwargs):
"""Sum"""
return model.net.Sum(blob_in, blob_out, **kwargs)
def reduce_sum(model, blob_in, blob_out, **kwargs):
"""ReduceSum"""
return model.net.ReduceSum(blob_in, blob_out, **kwargs)
def sub(model, blob_in, blob_out, **kwargs):
"""Subtract"""
return model.net.Sub(blob_in, blob_out, **kwargs)
def mat_mul(model, blob_in, blob_out, **kwargs):
"""Matrix multiplication"""
return model.net.MatMul(blob_in, blob_out, **kwargs)
def arg_min(model, blob_in, blob_out, **kwargs):
"""ArgMin"""
return model.net.ArgMin(blob_in, blob_out, **kwargs)
def batch_mat_mul(model, blob_in, blob_out,
enable_tensor_core=False, **kwargs):
if enable_tensor_core:
kwargs['engine'] = 'TENSORCORE'
return model.net.BatchMatMul(blob_in, blob_out, **kwargs)
def sparse_lengths_sum_4bit_rowwise_sparse(model, blob_in, blob_out, **kwargs):
return model.net.SparseLengthsSum4BitRowwiseSparse(blob_in, blob_out, **kwargs)
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