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https://github.com/ml-explore/mlx.git
synced 2025-12-16 01:49:05 +08:00
Bitwise Inverse (#1862)
* add bitwise inverse * add vmap + fix nojit * inverse -> invert * add to compile + remove unused
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@@ -137,6 +137,11 @@ Simd<T, N> operator-(Simd<T, N> v) {
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return -v.value;
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}
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template <typename T, int N>
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Simd<T, N> operator~(Simd<T, N> v) {
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return ~v.value;
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}
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template <typename T, int N>
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Simd<bool, N> isnan(Simd<T, N> v) {
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return asd::convert<char>(v.value != v.value);
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@@ -95,6 +95,11 @@ 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> operator~(Simd<T, 1> in) {
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return ~in.value;
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}
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template <typename T>
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auto real(Simd<T, 1> in) -> Simd<decltype(std::real(in.value)), 1> {
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return std::real(in.value);
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@@ -85,6 +85,12 @@ void ArcTanh::eval_cpu(const std::vector<array>& inputs, array& out) {
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unary_fp(in, out, detail::ArcTanh());
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}
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void BitwiseInvert::eval_cpu(const std::vector<array>& inputs, array& out) {
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assert(inputs.size() == 1);
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const auto& in = inputs[0];
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unary_int(in, out, detail::BitwiseInvert());
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}
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void Ceil::eval_cpu(const std::vector<array>& inputs, array& out) {
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assert(inputs.size() == 1);
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auto& in = inputs[0];
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@@ -141,4 +141,38 @@ void unary_fp(const array& a, array& out, Op op) {
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}
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}
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template <typename Op>
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void unary_int(const array& a, array& out, Op op) {
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switch (out.dtype()) {
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case uint8:
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unary_op<uint8_t>(a, out, op);
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break;
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case uint16:
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unary_op<uint16_t>(a, out, op);
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break;
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case uint32:
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unary_op<uint32_t>(a, out, op);
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break;
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case uint64:
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unary_op<uint64_t>(a, out, op);
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break;
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case int8:
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unary_op<int8_t>(a, out, op);
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break;
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case int16:
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unary_op<int16_t>(a, out, op);
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break;
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case int32:
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unary_op<int32_t>(a, out, op);
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break;
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case int64:
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unary_op<int64_t>(a, out, op);
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break;
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default:
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std::ostringstream err;
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err << "[unary_int] Does not support " << out.dtype();
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throw std::runtime_error(err.str());
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}
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}
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} // namespace mlx::core
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@@ -34,6 +34,7 @@ DEFAULT_OP(ArcSin, asin)
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DEFAULT_OP(ArcSinh, asinh)
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DEFAULT_OP(ArcTan, atan)
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DEFAULT_OP(ArcTanh, atanh)
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DEFAULT_OP(BitwiseInvert, operator~)
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DEFAULT_OP(Ceil, ceil)
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DEFAULT_OP(Conjugate, conj)
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DEFAULT_OP(Cos, cos)
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@@ -21,8 +21,7 @@
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instantiate_unary_all_same(op, float32, float) \
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instantiate_unary_all_same(op, bfloat16, bfloat16_t)
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#define instantiate_unary_types(op) \
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instantiate_unary_all_same(op, bool_, bool) \
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#define instantiate_unary_int(op) \
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instantiate_unary_all_same(op, uint8, uint8_t) \
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instantiate_unary_all_same(op, uint16, uint16_t) \
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instantiate_unary_all_same(op, uint32, uint32_t) \
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@@ -30,7 +29,11 @@
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instantiate_unary_all_same(op, int8, int8_t) \
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instantiate_unary_all_same(op, int16, int16_t) \
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instantiate_unary_all_same(op, int32, int32_t) \
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instantiate_unary_all_same(op, int64, int64_t) \
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instantiate_unary_all_same(op, int64, int64_t)
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#define instantiate_unary_types(op) \
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instantiate_unary_all_same(op, bool_, bool) \
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instantiate_unary_int(op) \
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instantiate_unary_float(op)
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instantiate_unary_types(Abs)
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@@ -63,6 +66,7 @@ instantiate_unary_float(Rsqrt)
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instantiate_unary_float(Tan)
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instantiate_unary_float(Tanh)
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instantiate_unary_float(Round)
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instantiate_unary_int(BitwiseInvert)
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instantiate_unary_all_same(Abs, complex64, complex64_t)
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instantiate_unary_all_same(Conjugate, complex64, complex64_t)
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@@ -85,6 +85,13 @@ struct ArcTanh {
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};
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};
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struct BitwiseInvert {
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template <typename T>
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T operator()(T x) {
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return ~x;
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};
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};
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struct Ceil {
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template <typename T>
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T operator()(T x) {
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@@ -124,6 +124,7 @@ UNARY_GPU(ArcSin)
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UNARY_GPU(ArcSinh)
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UNARY_GPU(ArcTan)
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UNARY_GPU(ArcTanh)
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UNARY_GPU(BitwiseInvert)
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UNARY_GPU(Conjugate)
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UNARY_GPU(Cos)
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UNARY_GPU(Cosh)
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@@ -33,6 +33,7 @@ NO_CPU(ArgSort)
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NO_CPU(AsType)
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NO_CPU(AsStrided)
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NO_CPU(BitwiseBinary)
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NO_CPU(BitwiseInvert)
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NO_CPU(BlockMaskedMM)
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NO_CPU(Broadcast)
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NO_CPU(BroadcastAxes)
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@@ -34,6 +34,7 @@ NO_GPU(ArgSort)
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NO_GPU(AsType)
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NO_GPU(AsStrided)
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NO_GPU(BitwiseBinary)
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NO_GPU(BitwiseInvert)
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NO_GPU(BlockMaskedMM)
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NO_GPU(Broadcast)
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NO_GPU(BroadcastAxes)
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