def construct(self, x, y):
shp = P.Shape()(self.yy)
y = P.Reshape()(y, shp)
u, _ = self.unq(y)
u_shp = P.DynamicShape()(u)
z = self.gather(x, u, 0)
return z, u_shp
def rowtensor_deduplicate_indices_slices(grad):
"""Unique the indices and sums the 'values' corresponding to the duplicate indices."""
indices = grad.indices
values = grad.values
unique_indices, index_position = P.Unique()(indices)
summed_values = P.UnsortedSegmentSum()(values, index_position, P.DynamicShape()(unique_indices)[0])
return RowTensor(unique_indices, summed_values, grad.dense_shape)
def construct(self, x):
u, _ = self.unq(x)
shp = P.DynamicShape()(u)
z = self.sum(x, self.segment_ids, shp[0])
return z, shp[0]
def __init__(self):
super(DynamicShapeNet, self).__init__()
self.convert_to_dynamic_shape_op = inner.GpuConvertToDynamicShape()
self.dynamic_shape_op = P.DynamicShape()
