diff --git a/build.gradle.kts b/build.gradle.kts
index b6e5b0748..28349f1b9 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -11,7 +11,7 @@ allprojects {
     }
 
     group = "space.kscience"
-    version = "0.3.1-dev-1"
+    version = "0.3.1-dev-2"
 }
 
 subprojects {
diff --git a/kmath-polynomial/build.gradle.kts b/kmath-polynomial/build.gradle.kts
index 42b90a70e..c6946878c 100644
--- a/kmath-polynomial/build.gradle.kts
+++ b/kmath-polynomial/build.gradle.kts
@@ -1,7 +1,7 @@
 plugins {
-    kotlin("multiplatform")
-    id("space.kscience.gradle.common")
-    id("space.kscience.gradle.native")
+    id("space.kscience.gradle.mpp")
+    // Disable native target to avoid CI crashes
+//    id("space.kscience.gradle.native")
 }
 
 description = "Polynomials, rational functions, and utilities"
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
index e412ab5bb..292357a71 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
@@ -5,7 +5,6 @@
 
 package space.kscience.kmath.tensors.core
 
-import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.tensors.api.Tensor
@@ -18,8 +17,6 @@ import space.kscience.kmath.tensors.core.internal.tensor
  * Basic linear algebra operations implemented with broadcasting.
  * For more information: https://pytorch.org/docs/stable/notes/broadcasting.html
  */
-
-@PerformancePitfall
 public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
 
     override fun StructureND<Double>.plus(arg: StructureND<Double>): DoubleTensor {
@@ -102,6 +99,5 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
  * Compute a value using broadcast double tensor algebra
  */
 @UnstableKMathAPI
-@PerformancePitfall
 public fun <R> DoubleTensorAlgebra.withBroadcast(block: BroadcastDoubleTensorAlgebra.() -> R): R =
     BroadcastDoubleTensorAlgebra.block()
\ No newline at end of file