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Change arg order in lowbit linear ops to match aten (#982)
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Change arg order in lowbit linear ops to match aten (#982)

Summary:
Pull Request resolved: #982

Discussed with Manuel to align on arg order between CPU/MPS ops.

Reviewed By: digantdesai, manuelcandales

Differential Revision: D63422524
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metascroy authored Sep 30, 2024
1 parent 68e1886 commit ae3e7c6
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Showing 14 changed files with 164 additions and 92 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -218,14 +218,14 @@ Tensor pack_weights_with_zeros_meta(
#if defined(USE_ATEN) || defined(USE_EXECUTORCH)
template <int weight_nbit, bool has_weight_zeros>
Tensor linear_out_cpu(
const Tensor& activations,
const Tensor& packed_weights,
// TODO(T200095131): convert n_tensor, k_tensor, group_size_tensor to
// int64_t when supported by AOTI Currently they are tensors with size
// equal to (0, the int they wrap)
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations,
Tensor& out) {
int n = n_tensor.size(1);
int k = k_tensor.size(1);
Expand Down Expand Up @@ -307,21 +307,21 @@ Tensor linear_out_cpu(
#ifdef USE_ATEN
template <int weight_nbit, bool has_weight_zeros>
Tensor linear_cpu(
const Tensor& activations,
const Tensor& packed_weights,
// TODO(T200095131): convert n_tensor, k_tensor, group_size_tensor to
// int64_t when supported by AOTI Currently they are tensors with size
// equal to (0, the int they wrap)
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations) {
const Tensor& n_tensor,
const Tensor& k_tensor) {
Tensor output_tensor = torch::empty({}, torch::kFloat32);
linear_out_cpu<weight_nbit, has_weight_zeros>(
activations,
packed_weights,
group_size_tensor,
n_tensor,
k_tensor,
group_size_tensor,
activations,
output_tensor);
return output_tensor;
}
Expand All @@ -330,14 +330,14 @@ Tensor linear_cpu(
#ifdef USE_ATEN
template <int weight_nbit, bool has_weight_zeros>
Tensor linear_meta(
const Tensor& activations,
const Tensor& packed_weights,
// TODO(T200095131): convert n_tensor, k_tensor, group_size_tensor to
// int64_t when supported by AOTI
// Currently they are tensors with size equal to (0, the int they wrap)
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations) {
const Tensor& n_tensor,
const Tensor& k_tensor) {
int n = n_tensor.size(1);
int k = k_tensor.size(1);
CHECK_MSG(n >= 1, "n must be >= 1");
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -6,67 +6,78 @@

#include <torchao/experimental/ops/linear_8bit_act_xbit_weight/op_linear_8bit_act_xbit_weight-impl.h>

#define DEFINE_OP(weight_nbit) \
m.def( \
"_pack_weights_a8sz_w" #weight_nbit \
"s(Tensor weight_qvals, Tensor weight_scales, Tensor group_size) -> Tensor"); \
m.def( \
"_pack_weights_a8sz_w" #weight_nbit \
"sz(Tensor weight_qvals, Tensor weight_scales, Tensor weight_zeros, Tensor group_size) -> Tensor"); \
m.def( \
"_linear_a8sz_w" #weight_nbit \
"s(Tensor packed_weights, Tensor n, Tensor k, Tensor group_size, Tensor activations) -> Tensor"); \
m.def( \
"_linear_a8sz_w" #weight_nbit \
"sz(Tensor packed_weights, Tensor n, Tensor k, Tensor group_size, Tensor activations) -> Tensor"); \
m.def( \
"_linear_a8sz_w" #weight_nbit \
"s.out(Tensor packed_weights, Tensor n, Tensor k, Tensor group_size, Tensor activations, *, Tensor(a!) out) -> Tensor(a!)"); \
m.def( \
"_linear_a8sz_w" #weight_nbit \
"sz.out(Tensor packed_weights, Tensor n, Tensor k, Tensor group_size, Tensor activations, *, Tensor(a!) out) -> Tensor(a!)")
#define DEFINE_OP(weight_nbit) \
m.def( \
"_pack_8bit_act_" #weight_nbit \
"bit0zp_weight(Tensor weight_qvals, Tensor weight_scales, Tensor group_size) -> Tensor"); \
m.def( \
"_pack_8bit_act_" #weight_nbit \
"bit_weight(Tensor weight_qvals, Tensor weight_scales, Tensor weight_zeros, Tensor group_size) -> Tensor"); \
m.def( \
"_linear_8bit_act_" #weight_nbit \
"bit0zp_weight(Tensor activations, Tensor packed_weights, Tensor group_size, Tensor n, Tensor k) -> Tensor"); \
m.def( \
"_linear_8bit_act_" #weight_nbit \
"bit_weight(Tensor activations, Tensor packed_weights, Tensor group_size, Tensor n, Tensor k) -> Tensor"); \
m.def( \
"_linear_8bit_act_" #weight_nbit \
"bit0zp_weight.out(Tensor activations, Tensor packed_weights, Tensor group_size, Tensor n, Tensor k, *, Tensor(a!) out) -> Tensor(a!)"); \
m.def( \
"_linear_8bit_act_" #weight_nbit \
"bit_weight.out(Tensor activations, Tensor packed_weights, Tensor group_size, Tensor n, Tensor k, *, Tensor(a!) out) -> Tensor(a!)")

#define DEFINE_CPU_IMPL(weight_nbit) \
m.impl( \
"_pack_weights_a8sz_w" #weight_nbit "s", \
&pack_weights_without_zeros_cpu<weight_nbit>); \
m.impl( \
"_pack_weights_a8sz_w" #weight_nbit "sz", \
&pack_weights_with_zeros_cpu<weight_nbit>); \
m.impl("_linear_a8sz_w" #weight_nbit "s", &linear_cpu<weight_nbit, false>); \
m.impl("_linear_a8sz_w" #weight_nbit "sz", &linear_cpu<weight_nbit, true>); \
m.impl( \
"_linear_a8sz_w" #weight_nbit "s.out", \
&linear_out_cpu<weight_nbit, false>); \
m.impl( \
"_linear_a8sz_w" #weight_nbit "sz.out", \
#define DEFINE_CPU_IMPL(weight_nbit) \
m.impl( \
"_pack_8bit_act_" #weight_nbit "bit0zp_weight", \
&pack_weights_without_zeros_cpu<weight_nbit>); \
m.impl( \
"_pack_8bit_act_" #weight_nbit "bit_weight", \
&pack_weights_with_zeros_cpu<weight_nbit>); \
m.impl( \
"_linear_8bit_act_" #weight_nbit "bit0zp_weight", \
&linear_cpu<weight_nbit, false>); \
m.impl( \
"_linear_8bit_act_" #weight_nbit "bit_weight", \
&linear_cpu<weight_nbit, true>); \
m.impl( \
"_linear_8bit_act_" #weight_nbit "bit0zp_weight.out", \
&linear_out_cpu<weight_nbit, false>); \
m.impl( \
"_linear_8bit_act_" #weight_nbit "bit_weight.out", \
&linear_out_cpu<weight_nbit, true>)

#define DEFINE_META_IMPL(weight_nbit) \
m.impl( \
"_pack_weights_a8sz_w" #weight_nbit "s", \
&pack_weights_without_zeros_meta<weight_nbit>); \
m.impl( \
"_pack_weights_a8sz_w" #weight_nbit "sz", \
&pack_weights_with_zeros_meta<weight_nbit>); \
m.impl("_linear_a8sz_w" #weight_nbit "s", &linear_meta<weight_nbit, false>); \
m.impl("_linear_a8sz_w" #weight_nbit "sz", &linear_meta<weight_nbit, true>);
#define DEFINE_META_IMPL(weight_nbit) \
m.impl( \
"_pack_8bit_act_" #weight_nbit "bit0zp_weight", \
&pack_weights_without_zeros_meta<weight_nbit>); \
m.impl( \
"_pack_8bit_act_" #weight_nbit "bit_weight", \
&pack_weights_with_zeros_meta<weight_nbit>); \
m.impl( \
"_linear_8bit_act_" #weight_nbit "bit0zp_weight", \
&linear_meta<weight_nbit, false>); \
m.impl( \
"_linear_8bit_act_" #weight_nbit "bit_weight", \
&linear_meta<weight_nbit, true>);

TORCH_LIBRARY(torchao, m) {
DEFINE_OP(1);
DEFINE_OP(2);
DEFINE_OP(3);
DEFINE_OP(4);
DEFINE_OP(5);
}

TORCH_LIBRARY_IMPL(torchao, CPU, m) {
DEFINE_CPU_IMPL(1);
DEFINE_CPU_IMPL(2);
DEFINE_CPU_IMPL(3);
DEFINE_CPU_IMPL(4);
DEFINE_CPU_IMPL(5);
}

TORCH_LIBRARY_IMPL(torchao, Meta, m) {
DEFINE_META_IMPL(1);
DEFINE_META_IMPL(2);
DEFINE_META_IMPL(3);
DEFINE_META_IMPL(4);
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,29 @@
// Copyright (c) Meta Platforms, Inc. and affiliates.
// All rights reserved.
//
// This source code is licensed under the license found in the
// LICENSE file in the root directory of this source tree.

// Unlike ATen, ExecuTorch op registration appears to only allow on
// EXECUTORCH_LIBRARY per cpp file due to a name redefinition error, so a new
// file is needed for each variant

#include <torchao/experimental/ops/linear_8bit_act_xbit_weight/op_linear_8bit_act_xbit_weight-impl.h>

namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 1, /*has_weight_zeros*/ false>(
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_1bit0zp_weight.out", _op_out);
Original file line number Diff line number Diff line change
@@ -0,0 +1,29 @@
// Copyright (c) Meta Platforms, Inc. and affiliates.
// All rights reserved.
//
// This source code is licensed under the license found in the
// LICENSE file in the root directory of this source tree.

// Unlike ATen, ExecuTorch op registration appears to only allow on
// EXECUTORCH_LIBRARY per cpp file due to a name redefinition error, so a new
// file is needed for each variant

#include <torchao/experimental/ops/linear_8bit_act_xbit_weight/op_linear_8bit_act_xbit_weight-impl.h>

namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 1, /*has_weight_zeros*/ true>(
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_1bit_weight.out", _op_out);
Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@
namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 2, /*has_weight_zeros*/ false>(
packed_weights, n_tensor, k_tensor, group_size_tensor, activations, out);
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_a8sz_w2s.out", _op_out);
EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_2bit0zp_weight.out", _op_out);
Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@
namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 2, /*has_weight_zeros*/ true>(
packed_weights, n_tensor, k_tensor, group_size_tensor, activations, out);
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_a8sz_w2sz.out", _op_out);
EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_2bit_weight.out", _op_out);
Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@
namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 3, /*has_weight_zeros*/ false>(
packed_weights, n_tensor, k_tensor, group_size_tensor, activations, out);
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_a8sz_w3s.out", _op_out);
EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_3bit0zp_weight.out", _op_out);
Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@
namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 3, /*has_weight_zeros*/ true>(
packed_weights, n_tensor, k_tensor, group_size_tensor, activations, out);
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_a8sz_w3sz.out", _op_out);
EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_3bit_weight.out", _op_out);
Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@
namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 4, /*has_weight_zeros*/ false>(
packed_weights, n_tensor, k_tensor, group_size_tensor, activations, out);
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_a8sz_w4s.out", _op_out);
EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_4bit0zp_weight.out", _op_out);
Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@
namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 4, /*has_weight_zeros*/ true>(
packed_weights, n_tensor, k_tensor, group_size_tensor, activations, out);
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_a8sz_w4sz.out", _op_out);
EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_4bit_weight.out", _op_out);
Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@
namespace {
Tensor _op_out(
RuntimeContext& ctx,
const Tensor& activations,
const Tensor& packed_weights,
const Tensor& group_size_tensor,
const Tensor& n_tensor,
const Tensor& k_tensor,
const Tensor& group_size_tensor,
const Tensor& activations,
Tensor& out) {
(void)ctx;
linear_out_cpu</*weight_nbit*/ 5, /*has_weight_zeros*/ false>(
packed_weights, n_tensor, k_tensor, group_size_tensor, activations, out);
activations, packed_weights, group_size_tensor, n_tensor, k_tensor, out);
return out;
}
} // namespace

EXECUTORCH_LIBRARY(torchao, "_linear_a8sz_w5s.out", _op_out);
EXECUTORCH_LIBRARY(torchao, "_linear_8bit_act_5bit0zp_weight.out", _op_out);
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