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Fix: Scaled Matmul at rocm #736

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Fix: Scaled Matmul at rocm #736

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23 changes: 23 additions & 0 deletions jax/_src/cudnn/scaled_matmul_stablehlo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@
from jax._src import core
from jax._src import dispatch
from jax._src import dtypes
from jax._src import lax as lax_internal
from jax._src import numpy as jnp
from jax._src import tree_util
from jax._src.custom_derivatives import custom_vjp
Expand Down Expand Up @@ -104,6 +105,23 @@ def _scaled_matmul_gpu_lowering(
return [out.result]


def _scaled_matmul_rocm_lowering(
ctx, a, b, a_scales, b_scales, preferred_element_type
):
def _scaled_dot_lowering_impl(lhs, rhs, lhs_scales, rhs_scales):
return lax_internal.scaled_dot(
lhs,
rhs,
lhs_scale=lhs_scales,
rhs_scale=rhs_scales,
dimension_numbers=(((2,), (2,)), ((0,), (0,))),
preferred_element_type=preferred_element_type,
)
return mlir.lower_fun(_scaled_dot_lowering_impl, multiple_results=False)(
ctx, a, b, a_scales, b_scales
)


def _scaled_matmul_abstract(a, b, a_scale, b_scale, *, preferred_element_type):
batch, non_contracting_lhs, contracting_lhs = a.shape
_, non_contracting_rhs, _ = b.shape
Expand All @@ -122,6 +140,11 @@ def _scaled_matmul_abstract(a, b, a_scale, b_scale, *, preferred_element_type):
_scaled_matmul_gpu_lowering,
platform="cuda",
)
mlir.register_lowering(
_scaled_matmul_p,
_scaled_matmul_rocm_lowering,
platform="rocm",
)

_scaled_matmul_p_wrapper = core.Primitive("scaled_matmul_wrapper")
_scaled_matmul_p_wrapper.multiple_results = True
Expand Down