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-rw-r--r--candle-core/src/backprop.rs21
-rw-r--r--candle-core/src/tensor.rs2
2 files changed, 17 insertions, 6 deletions
diff --git a/candle-core/src/backprop.rs b/candle-core/src/backprop.rs
index bc6740cf..ef15e65f 100644
--- a/candle-core/src/backprop.rs
+++ b/candle-core/src/backprop.rs
@@ -106,9 +106,8 @@ impl Tensor {
}
let grad = grads.remove(node).unwrap();
// TODO: We should perform all these operations in place (or at least not track the
- // whole graph).
- // The only drawback would be if we wanted to support grad of grad but this is out of
- // scope.
+ // whole graph). The only drawback would be if we wanted to support grad of grad but
+ // this is out of scope.
if let Some(op) = node.op() {
match op {
Op::Add(lhs, rhs) => {
@@ -139,8 +138,14 @@ impl Tensor {
let rhs_sum_grad = grads.or_insert(rhs)?;
*rhs_sum_grad = rhs_sum_grad.add(&rhs_grad)?;
}
- Op::WhereCond(_pred, _t, _f) => {
- return Err(Error::BackwardNotSupported { op: "where_cond" })
+ Op::WhereCond(pred, t, f) => {
+ let zeros = grad.zeros_like()?;
+ let t_sum_grad = grads.or_insert(t)?;
+ let t_grad = pred.where_cond(&grad, &zeros)?;
+ *t_sum_grad = t_sum_grad.add(&t_grad)?;
+ let f_sum_grad = grads.or_insert(f)?;
+ let f_grad = pred.where_cond(&zeros, &grad)?;
+ *f_sum_grad = f_sum_grad.add(&f_grad)?;
}
Op::Embedding(_lhs, _rhs) => {
return Err(Error::BackwardNotSupported { op: "embedding" })
@@ -209,7 +214,11 @@ impl Tensor {
Op::Softmax(_arg, _) => {
return Err(Error::BackwardNotSupported { op: "softmax" })
}
- Op::Reshape(_arg) => return Err(Error::BackwardNotSupported { op: "reshape" }),
+ Op::Reshape(arg) => {
+ let arg_grad = grad.reshape(arg.dims())?;
+ let sum_grad = grads.or_insert(arg)?;
+ *sum_grad = sum_grad.add(&arg_grad)?
+ }
Op::Gelu(_) => return Err(Error::BackwardNotSupported { op: "gelu" }),
Op::Relu(_) => return Err(Error::BackwardNotSupported { op: "relu" }),
Op::Sqr(arg) => {
diff --git a/candle-core/src/tensor.rs b/candle-core/src/tensor.rs
index 4cff4efc..feb59d3c 100644
--- a/candle-core/src/tensor.rs
+++ b/candle-core/src/tensor.rs
@@ -121,6 +121,7 @@ fn from_storage<S: Into<Shape>>(
}
impl Tensor {
+ // TODO: Maybe this should be a broadcast rather than actually creating the full tensor.
fn ones_impl<S: Into<Shape>>(
shape: S,
dtype: DType,
@@ -144,6 +145,7 @@ impl Tensor {
Tensor::ones(self.shape(), self.dtype(), &self.device())
}
+ // TODO: Maybe this should be a broadcast rather than actually creating the full tensor.
fn zeros_impl<S: Into<Shape>>(
shape: S,
dtype: DType,