Add abs2() operator for squared abs()

docs_input/api/math/misc/abs2.rst

@@ -0,0 +1,20 @@
+.. _abs2_func:
+
+abs2
+====
+
+Squared absolute value. For complex numbers, this is the squared
+complex magnitude, or real(t)^2 + imag(t)^2. For real numbers,
+this is equivalent to the squared value, or t*t.
+
+.. doxygenfunction:: abs2(Op t) 
+
+Examples
+~~~~~~~~
+
+.. literalinclude:: ../../../../test/00_operators/OperatorTests.cu
+   :language: cpp
+   :start-after: example-begin abs2-test-1
+   :end-before: example-end abs2-test-1
+   :dedent:
+

include/matx/operators/scalar_ops.h

@@ -285,6 +285,20 @@ template <typename T> struct ExpjF {
 };
 template <typename T> using ExpjOp = UnOp<T, ExpjF<T>>;
 
+template <typename T> struct Abs2F {
+  static __MATX_INLINE__ std::string str() { return "abs2"; }
+
+  static __MATX_INLINE__ __MATX_HOST__ __MATX_DEVICE__ auto op(T v)
+  {
+    if constexpr (is_complex_v<T>) {
+      return v.real() * v.real() + v.imag() * v.imag();
+    }
+    else {
+      return v * v;
+    }
+  }
+};
+template <typename T> using Abs2Op = UnOp<T, Abs2F<T>>;
 
 template <typename T> static __MATX_INLINE__ __MATX_HOST__ __MATX_DEVICE__ auto _internal_normcdf(T v1)
 {

include/matx/operators/unary_operators.h

@@ -190,6 +190,15 @@ namespace matx
  */
   Op abs(Op t) {}
 
+  /**
+ * Compute squared absolute value of every element in the tensor. For complex numbers
+ * this returns the squared magnitude, or real(t)^2 + imag(t)^2. For real numbers
+ * this returns the squared value, or t*t.
+ * @param t
+ *   Tensor or operator input
+ */
+  Op abs2(Op t) {}
+
   /**
  * Compute the sine of every element in the tensor
  * @param t
@@ -379,6 +388,7 @@ namespace matx
 #endif
   DEFINE_UNARY_OP(norm, detail::NormOp);
   DEFINE_UNARY_OP(abs, detail::AbsOp);
+  DEFINE_UNARY_OP(abs2, detail::Abs2Op);
   DEFINE_UNARY_OP(sin, detail::SinOp);
   DEFINE_UNARY_OP(cos, detail::CosOp);
   DEFINE_UNARY_OP(tan, detail::TanOp);

test/00_operators/OperatorTests.cu

@@ -1582,6 +1582,73 @@ TYPED_TEST(OperatorTestsAllExecs, OperatorFuncs)
   MATX_EXIT_HANDLER();
 }
 
+TYPED_TEST(OperatorTestsNumericAllExecs, Abs2)
+{
+  MATX_ENTER_HANDLER();
+  using TestType = std::tuple_element_t<0, TypeParam>;
+  using ExecType = std::tuple_element_t<1, TypeParam>;
+  using inner_type = typename inner_op_type_t<TestType>::type;
+
+  ExecType exec{};
+
+  auto sync = [&exec]() constexpr {
+    if constexpr (std::is_same_v<ExecType,cudaExecutor>) {
+      cudaDeviceSynchronize();
+    }
+  };
+
+  if constexpr (std::is_same_v<TestType, cuda::std::complex<float>> &&
+    std::is_same_v<ExecType,cudaExecutor>) {
+    // example-begin abs2-test-1
+    auto x = make_tensor<cuda::std::complex<float>>({});
+    auto y = make_tensor<float>({});
+    x() = { 1.5f, 2.5f };
+    (y = abs2(x)).run();
+    cudaDeviceSynchronize();
+    ASSERT_NEAR(y(), 1.5f*1.5f+2.5f*2.5f, 1.0e-6);
+    // example-end abs2-test-1
+  }
+
+  auto x = make_tensor<TestType>({});
+  auto y = make_tensor<inner_type>({});
+  if constexpr (is_complex_v<TestType>) {
+    x() = TestType{2.0, 2.0};
+    (y = abs2(x)).run(exec);
+    sync();
+    ASSERT_NEAR(y(), 8.0, 1.0e-6);
+  } else {
+    x() = 2.0;
+    (y = abs2(x)).run(exec);
+    sync();
+    ASSERT_NEAR(y(), 4.0, 1.0e-6);
+
+    // Test with higher rank tensor
+    auto x3 = make_tensor<TestType>({3,3,3});
+    auto y3 = make_tensor<TestType>({3,3,3});
+    for (int i = 0; i < 3; i++) {
+      for (int j = 0; j < 3; j++) {
+        for (int k = 0; k < 3; k++) {
+          x3(i,j,k) = static_cast<TestType>(i*9 + j*3 + k);
+        }
+      }
+    }
+
+    (y3 = abs2(x3)).run(exec);
+    sync();
+
+    for (int i = 0; i < 3; i++) {
+      for (int j = 0; j < 3; j++) {
+        for (int k = 0; k < 3; k++) {
+          TestType v = static_cast<TestType>(i*9 + j*3 + k);
+          ASSERT_NEAR(y3(i,j,k), v*v, 1.0e-6);
+        }
+      }
+    }
+  }
+
+  MATX_EXIT_HANDLER();
+}
+
 TYPED_TEST(OperatorTestsFloatNonComplexAllExecs, OperatorFuncsR2C)
 {
   MATX_ENTER_HANDLER();