Sha256: b45e332013b5b74ba0c7616535ff383219e98a121bbcfa04ede11c29a6da05ee
Contents?: true
Size: 689 Bytes
Versions: 9
Compression:
Stored size: 689 Bytes
Contents
TensorStream::OpMaker.define_operation :add do |op|
op.what_it_does "Returns x + y element-wise."
op.parameter :input_a, "tensor X"
op.parameter :input_b, "tensor Y"
op.apply_data_type_coercion!
op.supports_broadcasting!
op.option :name, "Optional name", :nil
op.define_gradient do |grad, node, params|
x, y = params
next [grad, grad] if shapes_fully_specified_and_equal(x, y)
sx = ts.shape(x, name: "add/shape_x")
sy = ts.shape(y, name: "add/shape_y")
rx, ry = _broadcast_gradient_args(sx, sy)
[ts.reshape(ts.reduce_sum(grad, rx, name: "add/reduce_sum_x"), sx),
ts.reshape(ts.reduce_sum(grad, ry, name: "add/reduce_sum_y"), sy),]
end
end
Version data entries
9 entries across 9 versions & 1 rubygems