[Kernel] AQ AZP 3/4: Asymmetric quantization kernels (#7270)

This commit is contained in:
Luka Govedič
2024-09-16 14:52:40 -04:00
committed by GitHub
parent 781e3b9a42
commit 5d73ae49d6
9 changed files with 339 additions and 57 deletions

View File

@@ -257,11 +257,13 @@ void int8_scaled_mm(torch::Tensor& c, // [M, OC], row-major
// static-per-tensor quantization.
void static_scaled_int8_quant(torch::Tensor& out, // [..., hidden_size]
const torch::Tensor& input, // [..., hidden_size]
const torch::Tensor& scale) {
const torch::Tensor& scale,
c10::optional<torch::Tensor> const& azp) {
CPU_KERNEL_GUARD_IN(static_scaled_int8_quant)
TORCH_CHECK(input.is_contiguous());
TORCH_CHECK(out.is_contiguous());
TORCH_CHECK(scale.numel() == 1);
TORCH_CHECK(!azp.has_value(), "Zero point is not supported on CPU.");
const int hidden_size = input.size(-1);
const int num_tokens = input.numel() / hidden_size;
@@ -277,11 +279,12 @@ void static_scaled_int8_quant(torch::Tensor& out, // [..., hidden_size]
void dynamic_scaled_int8_quant(
torch::Tensor& out, // [..., hidden_size]
const torch::Tensor& input, // [..., hidden_size]
torch::Tensor& scale // [..., 1]
) {
torch::Tensor& scale, // [..., 1]
c10::optional<torch::Tensor> const& azp) {
CPU_KERNEL_GUARD_IN(dynamic_scaled_int8_quant)
TORCH_CHECK(input.is_contiguous());
TORCH_CHECK(out.is_contiguous());
TORCH_CHECK(!azp.has_value(), "Zero point is not supported on CPU.");
int const hidden_size = input.size(-1);
int const num_tokens = input.numel() / hidden_size;