Flatten and unflatten (#1692)

* flatten and unflatten

* fix grad

* fix shape infer

* use squeeze + unsqueeze in get_item
This commit is contained in:
Awni Hannun
2024-12-11 21:51:37 -08:00
committed by GitHub
parent 0bf19037ca
commit 4e1e9520e1
19 changed files with 363 additions and 93 deletions

View File

@@ -151,9 +151,7 @@ void NumberOfElements::eval(const std::vector<array>& inputs, array& out) {
}
}
std::pair<bool, Strides> Reshape::prepare_reshape(
const array& in,
const array& out) {
std::pair<bool, Strides> prepare_reshape(const array& in, const array& out) {
// Special case for empty arrays or row contiguous arrays
if (in.size() == 0 || in.flags().row_contiguous) {
return {false, out.strides()};
@@ -190,7 +188,7 @@ std::pair<bool, Strides> Reshape::prepare_reshape(
return {copy_necessary, out_strides};
}
void Reshape::shared_buffer_reshape(
void shared_buffer_reshape(
const array& in,
const Strides& out_strides,
array& out) {

View File

@@ -87,7 +87,6 @@ DEFAULT_MULTI(QRF)
DEFAULT(QuantizedMatmul)
DEFAULT(RandomBits)
DEFAULT(Reduce)
DEFAULT(Reshape)
DEFAULT(Round)
DEFAULT(Scan)
DEFAULT(Scatter)

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@@ -19,6 +19,16 @@
namespace mlx::core {
void reshape(const array& in, array& out) {
auto [copy_necessary, out_strides] = prepare_reshape(in, out);
if (copy_necessary) {
out.set_data(allocator::malloc_or_wait(out.nbytes()));
copy_inplace(in, out, CopyType::General);
} else {
shared_buffer_reshape(in, out_strides, out);
}
}
void Abs::eval(const std::vector<array>& inputs, array& out) {
assert(inputs.size() == 1);
auto& in = inputs[0];
@@ -258,6 +268,14 @@ void Expm1::eval(const std::vector<array>& inputs, array& out) {
}
}
void Flatten::eval_cpu(const std::vector<array>& inputs, array& out) {
reshape(inputs[0], out);
}
void Unflatten::eval_cpu(const std::vector<array>& inputs, array& out) {
reshape(inputs[0], out);
}
void Floor::eval(const std::vector<array>& inputs, array& out) {
assert(inputs.size() == 1);
auto& in = inputs[0];
@@ -417,18 +435,8 @@ void Real::eval_cpu(const std::vector<array>& inputs, array& out) {
unary_op<complex64_t, float>(inputs[0], out, detail::Real());
}
void Reshape::eval(const std::vector<array>& inputs, array& out) {
assert(inputs.size() == 1);
const auto& in = inputs[0];
auto [copy_necessary, out_strides] = prepare_reshape(in, out);
if (copy_necessary) {
out.set_data(allocator::malloc_or_wait(out.nbytes()));
copy_inplace(in, out, CopyType::General);
} else {
shared_buffer_reshape(in, out_strides, out);
}
void Reshape::eval_cpu(const std::vector<array>& inputs, array& out) {
reshape(inputs[0], out);
}
void Round::eval(const std::vector<array>& inputs, array& out) {

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@@ -168,4 +168,10 @@ void move_or_copy(
size_t data_size,
size_t offset = 0);
std::pair<bool, Strides> prepare_reshape(const array& in, const array& out);
void shared_buffer_reshape(
const array& in,
const Strides& out_strides,
array& out);
} // namespace mlx::core