diff --git a/candle-core/src/backprop.rs b/candle-core/src/backprop.rs
index 24da23a20f..d6beb70e7b 100644
--- a/candle-core/src/backprop.rs
+++ b/candle-core/src/backprop.rs
@@ -169,8 +169,22 @@ impl Tensor {
                         let sum_grad = grads.or_insert(arg)?;
                         *sum_grad = sum_grad.scatter_add(indexes, &grad, *dim)?;
                     }
-                    Op::ScatterAdd(..) => Err(Error::BackwardNotSupported { op: "scatter-add" })?,
-                    Op::IndexAdd { .. } => Err(Error::BackwardNotSupported { op: "index-add" })?,
+                    Op::ScatterAdd(init, indexes, src, dim) => {
+                        let init_sum_grad = grads.or_insert(init)?;
+                        *init_sum_grad = init_sum_grad.add(&grad)?;
+
+                        let src_grad = grad.gather(indexes, *dim)?;
+                        let src_sum_grad = grads.or_insert(src)?;
+                        *src_sum_grad = src_sum_grad.add(&src_grad)?;
+                    }
+                    Op::IndexAdd(init, indexes, src, dim) => {
+                        let init_sum_grad = grads.or_insert(init)?;
+                        *init_sum_grad = init_sum_grad.add(&grad)?;
+
+                        let src_grad = grad.index_select(indexes, *dim)?;
+                        let src_sum_grad = grads.or_insert(src)?;
+                        *src_sum_grad = src_sum_grad.add(&src_grad)?;
+                    }
                     Op::IndexSelect(arg, indexes, dim) => {
                         let sum_grad = grads.or_insert(arg)?;
                         *sum_grad = sum_grad.index_add(indexes, &grad, *dim)?;
@@ -228,7 +242,7 @@ impl Tensor {
                         let sum_grad = grads.or_insert(arg)?;
                         *sum_grad = sum_grad.add(&grad)?;
                     }
-                    Op::Cmp(_args, _) => return Err(Error::BackwardNotSupported { op: "cmp" }),
+                    Op::Cmp(_args, _) => {}
                     Op::Reduce(arg, ReduceOp::Max, reduced_dims) => {
                         let node = broadcast_back(arg, node, reduced_dims)?;
                         let grad = broadcast_back(arg, &grad, reduced_dims)?;
@@ -268,7 +282,12 @@ impl Tensor {
                         let sum_grad = grads.or_insert(arg)?;
                         *sum_grad = sum_grad.sub(&(&grad * arg.sin())?)?
                     }
-                    Op::Unary(_, UnaryOp::Abs) => Err(Error::BackwardNotSupported { op: "abs" })?,
+                    Op::Unary(arg, UnaryOp::Abs) => {
+                        let sum_grad = grads.or_insert(arg)?;
+                        let ones = arg.ones_like()?;
+                        let abs_grad = arg.ge(&arg.zeros_like()?)?.where_cond(&ones, &ones.neg()?);
+                        *sum_grad = sum_grad.add(&(&grad * abs_grad)?)?
+                    }
                     Op::Unary(arg, UnaryOp::Exp) => {
                         let sum_grad = grads.or_insert(arg)?;
                         *sum_grad = sum_grad.add(&(&grad * *node)?)?
@@ -303,12 +322,8 @@ impl Tensor {
                         let sum_grad = grads.or_insert(arg)?;
                         *sum_grad = sum_grad.add(&arg_grad)?
                     }
-                    Op::Reduce(_, ReduceOp::ArgMin, _) => {
-                        Err(Error::BackwardNotSupported { op: "argmin" })?
-                    }
-                    Op::Reduce(_, ReduceOp::ArgMax, _) => {
-                        Err(Error::BackwardNotSupported { op: "argmax" })?
-                    }
+                    Op::Reduce(_, ReduceOp::ArgMin, _) => {}
+                    Op::Reduce(_, ReduceOp::ArgMax, _) => {}
                     Op::Softmax(_arg, _) => Err(Error::BackwardNotSupported { op: "softmax" })?,
                     Op::Reshape(arg) => {
                         let arg_grad = grad.reshape(arg.dims())?;
@@ -316,7 +331,11 @@ impl Tensor {
                         *sum_grad = sum_grad.add(&arg_grad)?
                     }
                     Op::Unary(_, UnaryOp::Gelu) => Err(Error::BackwardNotSupported { op: "gelu" })?,
-                    Op::Unary(_, UnaryOp::Relu) => Err(Error::BackwardNotSupported { op: "relu" })?,
+                    Op::Unary(arg, UnaryOp::Relu) => {
+                        let sum_grad = grads.or_insert(arg)?;
+                        let relu_grad = arg.ge(&arg.zeros_like()?)?.to_dtype(arg.dtype())?;
+                        *sum_grad = sum_grad.add(&(&grad * relu_grad)?)?
+                    }
                     Op::Elu(..) => Err(Error::BackwardNotSupported { op: "elu" })?,
                     Op::CustomOp1(arg, c) => {
                         if let Some(arg_grad) = c.bwd(arg, node, &grad)? {