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Complex scan (#2094)
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@@ -172,9 +172,12 @@ void binary_float(
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case bfloat16:
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binary_op<bfloat16_t, Op>(a, b, out, bopt);
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break;
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case complex64:
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binary_op<complex64_t, Op>(a, b, out, bopt);
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break;
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default:
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throw std::runtime_error(
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"[binary_float] Only supports non-complex floating point types.");
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"[binary_float] Only supports floating point types.");
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}
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});
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}
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@@ -330,7 +330,8 @@ void Scan::eval_cpu(const std::vector<array>& inputs, array& out) {
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reduce_type_, in, out, axis_, reverse_, inclusive_);
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break;
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case complex64:
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throw std::runtime_error("Scan ops do not support complex types yet");
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scan_dispatch<complex64_t, complex64_t>(
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reduce_type_, in, out, axis_, reverse_, inclusive_);
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break;
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}
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});
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@@ -88,12 +88,33 @@ DEFAULT_UNARY(expm1, std::expm1)
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DEFAULT_UNARY(floor, std::floor)
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DEFAULT_UNARY(log, std::log)
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DEFAULT_UNARY(log10, std::log10)
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DEFAULT_UNARY(log1p, std::log1p)
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DEFAULT_UNARY(sinh, std::sinh)
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DEFAULT_UNARY(sqrt, std::sqrt)
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DEFAULT_UNARY(tan, std::tan)
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DEFAULT_UNARY(tanh, std::tanh)
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template <typename T>
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Simd<T, 1> log1p(Simd<T, 1> in) {
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if constexpr (is_complex<T>) {
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auto x = in.value.real();
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auto y = in.value.imag();
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auto zabs = std::abs(in.value);
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auto theta = std::atan2(y, x + 1);
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if (zabs < 0.5) {
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auto r = x * (2 + x) + y * y;
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if (r == 0) { // handle underflow
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return Simd<T, 1>{T{x, theta}};
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}
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return Simd<T, 1>{T{((typeof(x))(0.5)) * std::log1p(r), theta}};
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} else {
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auto z0 = std::hypot(x + 1, y);
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return Simd<T, 1>{T{std::log(z0), theta}};
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}
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} else {
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return Simd<T, 1>{std::log1p(in.value)};
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}
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}
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template <typename T>
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Simd<T, 1> log2(Simd<T, 1> in) {
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if constexpr (is_complex<T>) {
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