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Add support for "sign" on tensors (#2012)
* add the sign unary operator * remove uneeded import * remove uneeded import * undo formatting * undo formatting * remove unnecessary redefintion * allow gradient to flow through for sign and round * fix cpu ops to ensure that negzero and positive zero are handled properly * clippy fixes * Properly avoid gradient tracking. * Use a branchless version. --------- Co-authored-by: laurent <laurent.mazare@gmail.com>
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@ -112,7 +112,8 @@ impl Tensor {
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}
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Op::Unary(_node, UnaryOp::Ceil)
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| Op::Unary(_node, UnaryOp::Floor)
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| Op::Unary(_node, UnaryOp::Round) => nodes,
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| Op::Unary(_node, UnaryOp::Round)
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| Op::Unary(_node, UnaryOp::Sign) => nodes,
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Op::Reshape(node)
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| Op::UpsampleNearest1D { arg: node, .. }
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| Op::UpsampleNearest2D { arg: node, .. }
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@ -488,7 +489,6 @@ impl Tensor {
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let sum_grad = grads.or_insert(arg)?;
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*sum_grad = sum_grad.add(&grad)?;
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}
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Op::Cmp(_args, _) => {}
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Op::Reduce(arg, ReduceOp::Max, reduced_dims) => {
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let node = broadcast_back(arg, node, reduced_dims)?;
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let grad = broadcast_back(arg, &grad, reduced_dims)?;
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@ -578,20 +578,18 @@ impl Tensor {
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let sum_grad = grads.or_insert(arg)?;
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*sum_grad = sum_grad.add(&arg_grad)?
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}
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Op::Reduce(_, ReduceOp::ArgMin, _) => {}
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Op::Reduce(_, ReduceOp::ArgMax, _) => {}
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Op::Unary(_, UnaryOp::Floor)
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| Op::Unary(_, UnaryOp::Round)
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| Op::Reduce(_, ReduceOp::ArgMin, _)
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| Op::Reduce(_, ReduceOp::ArgMax, _)
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| Op::Unary(_, UnaryOp::Sign)
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| Op::Cmp(_, _) => {}
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Op::Reshape(arg) => {
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let arg_grad = grad.reshape(arg.dims())?;
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let sum_grad = grads.or_insert(arg)?;
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*sum_grad = sum_grad.add(&arg_grad)?
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}
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Op::Unary(_, UnaryOp::Ceil) => Err(Error::BackwardNotSupported { op: "ceil" })?,
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Op::Unary(_, UnaryOp::Floor) => {
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Err(Error::BackwardNotSupported { op: "floor" })?
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}
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Op::Unary(_, UnaryOp::Round) => {
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Err(Error::BackwardNotSupported { op: "round" })?
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}
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Op::Unary(arg, UnaryOp::Gelu) => {
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let sum_grad = grads.or_insert(arg)?;
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let cube = arg.powf(3.)?;
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