fix(dnn/x86): fix x86 matrix usable ignore format

GitOrigin-RevId: 40fe508aca366efaa8b9ef1a799740a760e11531

dnn/src/x86/matrix_mul/algos.cpp

@@ -10,13 +10,13 @@
  * implied.
  */
 
-#include "src/x86/matrix_mul/algos.h"
-#include "midout.h"
 #include "src/common/utils.h"
 #include "src/fallback/matrix_mul/gemm_impl.h"
+#include "src/x86/matrix_mul/algos.h"
+#include "src/x86/matrix_mul/f32/strategy.h"
 #include "src/x86/matrix_mul/int8/strategy.h"
 
-#include "src/x86/matrix_mul/f32/strategy.h"
+#include "midout.h"
 
 MIDOUT_DECL(megdnn_x86_matmul_kern)
 MIDOUT_DECL(megdnn_x86_matmul_kern_mk8_8x8)
@@ -170,6 +170,7 @@ bool MatrixMulImpl::AlgoInt8x8x32Vnni::usable(
             (kern_size_param.A_type.enumv() == DTypeEnum::QuantizedS8 &&
              kern_size_param.C_type.enumv() == DTypeEnum::QuantizedS32)) &&
            kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
+           kern_size_param.format == Param::Format::DEFAULT &&
            preferred(kern_size_param) && is_supported(SIMDType::VNNI);
 }
 
@@ -230,6 +231,7 @@ bool MatrixMulImpl::AlgoInt8x8x32Mkldnn::usable(
             (kern_size_param.A_type.enumv() == DTypeEnum::QuantizedS8 &&
              kern_size_param.C_type.enumv() == DTypeEnum::QuantizedS32)) &&
            kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
+           kern_size_param.format == Param::Format::DEFAULT &&
            is_supported(SIMDType::VNNI) && preferred(kern_size_param);
 }
 
@@ -365,8 +367,10 @@ bool MatrixMulImpl::AlgoInt8x8x16AVX2::usable(
               kern_size_param.C_type.enumv() == DTypeEnum::QuantizedS16));
     bool is_mode_ok =
             kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
+            kern_size_param.format == Param::Format::DEFAULT &&
             is_supported(SIMDType::AVX2);
     bool is_param_ok = is_ab_same && is_type_ok && is_mode_ok;
+
     return is_param_ok;
 }
 bool MatrixMulImpl::AlgoInt8x8x16AVX2::preferred(const KernSizeParam&) const {
@@ -440,6 +444,7 @@ bool MatrixMulImpl::AlgoInt8x8x16SSE::usable(
               kern_size_param.C_type.enumv() == DTypeEnum::QuantizedS16));
     bool is_mode_ok =
             kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
+            kern_size_param.format == Param::Format::DEFAULT &&
             is_supported(SIMDType::SSE4_1);
     bool is_param_ok = is_ab_same && is_type_ok && is_mode_ok;
     return is_param_ok;
@@ -478,13 +483,16 @@ MatrixMulImpl::kern_t MatrixMulImpl::AlgoInt8x8x32AVX2M4N16K2::get_kern(
 }
 bool MatrixMulImpl::AlgoInt8x8x32AVX2M4N16K2::usable(
         const KernSizeParam& kern_size_param) const {
-    return kern_size_param.A_type.enumv() == kern_size_param.B_type.enumv() &&
-           ((kern_size_param.A_type.enumv() == DTypeEnum::Int8 &&
-             kern_size_param.C_type.enumv() == DTypeEnum::Int32) ||
-            (kern_size_param.A_type.enumv() == DTypeEnum::QuantizedS8 &&
-             kern_size_param.C_type.enumv() == DTypeEnum::QuantizedS32)) &&
-           kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
-           is_supported(SIMDType::AVX2);
+    bool is_param_ok =
+            kern_size_param.A_type.enumv() == kern_size_param.B_type.enumv() &&
+            ((kern_size_param.A_type.enumv() == DTypeEnum::Int8 &&
+              kern_size_param.C_type.enumv() == DTypeEnum::Int32) ||
+             (kern_size_param.A_type.enumv() == DTypeEnum::QuantizedS8 &&
+              kern_size_param.C_type.enumv() == DTypeEnum::QuantizedS32)) &&
+            kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
+            kern_size_param.format == Param::Format::DEFAULT &&
+            is_supported(SIMDType::AVX2);
+    return is_param_ok;
 }
 size_t MatrixMulImpl::AlgoInt8x8x32AVX2M4N16K2::get_workspace(
         const KernSizeParam& kern_param) const {
@@ -522,6 +530,7 @@ bool MatrixMulImpl::AlgoInt8x8x32AVX2M2N4K16::usable(
             (kern_size_param.A_type.enumv() == DTypeEnum::QuantizedS8 &&
              kern_size_param.C_type.enumv() == DTypeEnum::QuantizedS32)) &&
            kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
+           kern_size_param.format == Param::Format::DEFAULT &&
            is_supported(SIMDType::AVX2);
 }
 size_t MatrixMulImpl::AlgoInt8x8x32AVX2M2N4K16::get_workspace(
@@ -562,6 +571,7 @@ bool MatrixMulImpl::AlgoInt8x8x32SSEM4N8K2::usable(
             (kern_size_param.A_type.enumv() == DTypeEnum::QuantizedS8 &&
              kern_size_param.C_type.enumv() == DTypeEnum::QuantizedS32)) &&
            kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
+           kern_size_param.format == Param::Format::DEFAULT &&
            is_supported(SIMDType::SSE4_1);
 }
 size_t MatrixMulImpl::AlgoInt8x8x32SSEM4N8K2::get_workspace(