Updated python to build

Signed-off-by: Alejandro Saucedo <axsauze@gmail.com>

test/TestSpecializationConstant.cpp

@@ -53,3 +53,51 @@ TEST(TestSpecializationConstants, TestTwoConstants)
         }
     }
 }
+
+TEST(TestSpecializationConstants, TestConstantsInt)
+{
+    {
+        std::string shader(R"(
+          #version 450
+          layout (constant_id = 0) const float cOne = 1;
+          layout (constant_id = 1) const float cTwo = 1;
+          layout (local_size_x = 1) in;
+          layout(set = 0, binding = 0) buffer a { float pa[]; };
+          layout(set = 0, binding = 1) buffer b { float pb[]; };
+          void main() {
+              uint index = gl_GlobalInvocationID.x;
+              pa[index] = cOne;
+              pb[index] = cTwo;
+          })");
+
+        std::vector<uint32_t> spirv = compileSource(shader);
+
+        std::shared_ptr<kp::Sequence> sq = nullptr;
+
+        {
+            kp::Manager mgr;
+
+            std::shared_ptr<kp::TensorT<float>> tensorA =
+              mgr.tensor({ 0, 0, 0 });
+            std::shared_ptr<kp::TensorT<float>> tensorB =
+              mgr.tensor({ 0, 0, 0 });
+
+            std::vector<std::shared_ptr<kp::Tensor>> params = { tensorA,
+                                                                tensorB };
+
+            kp::Constants spec = kp::Constants({ 5.0, 0.3 });
+
+            std::shared_ptr<kp::Algorithm> algo =
+              mgr.algorithm(params, spirv, {}, spec);
+
+            sq = mgr.sequence()
+                   ->record<kp::OpTensorSyncDevice>(params)
+                   ->record<kp::OpAlgoDispatch>(algo)
+                   ->record<kp::OpTensorSyncLocal>(params)
+                   ->eval();
+
+            EXPECT_EQ(tensorA->vector(), std::vector<float>({ 5, 5, 5 }));
+            EXPECT_EQ(tensorB->vector(), std::vector<float>({ 0.3, 0.3, 0.3 }));
+        }
+    }
+}