feat(mgb/dtype): add dtype qint1

GitOrigin-RevId: abe9fb68b15aa2a73ffa3e2c44175639d5307a57

dnn/include/megdnn/dtype.h

@@ -62,7 +62,7 @@ namespace megdnn {
 
 #define MEGDNN_FOREACH_PARAMETERIZED_DTYPE_OTHERS(cb)                    \
     cb(QuantizedS32) cb(QuantizedS8) cb(Quantized4Asymm) cb(QuantizedS4) \
-            cb(QuantizedS16)
+            cb(QuantizedS16) cb(QuantizedS1)
 
 #define MEGDNN_FOREACH_PARAMETERIZED_DTYPE_2(cb_first, cb_others) \
     MEGDNN_FOREACH_PARAMETERIZED_DTYPE_FIRST(cb_first)            \
@@ -112,7 +112,7 @@ namespace megdnn {
 
 #define MEGDNN_FOREACH_QUANTIZED_DTYPE_SYMM(cb)                        \
     cb(::megdnn::dtype::QuantizedS32) cb(::megdnn::dtype::QuantizedS8) \
-            cb(::megdnn::dtype::QuantizedS4)
+            cb(::megdnn::dtype::QuantizedS4) cb(::megdnn::dtype::QuantizedS1)
 
 #define MEGDNN_FOREACH_QUANTIZED_DTYPE_ASYMM(cb) \
     cb(::megdnn::dtype::Quantized8Asymm) cb(::megdnn::dtype::Quantized4Asymm)
@@ -292,10 +292,27 @@ public:
 };
 using dt_qint4 = dt_qlowbit<4>;
 
+class dt_qint1 {
+    int8_t _;
+
+public:
+    MEGDNN_DEVICE int8_t as_int8() const { return _; }
+
+    MEGDNN_HOST MEGDNN_DEVICE explicit dt_qint1(int8_t val) : _(val) {}
+#ifdef MEGDNN_CC_HOST
+    explicit operator int8_t() { return _; }
+#endif
+    bool operator<(const dt_qint1& b) const { return _ < b._; }
+    bool operator>(const dt_qint1& b) const { return _ > b._; }
+    bool operator==(const dt_qint1& b) const { return _ == b._; }
+    bool operator!=(const dt_qint1& b) const { return _ != b._; }
+} MEGDNN_PACKED;
+
 #ifdef __clang__
 #pragma clang diagnostic pop
 #endif
 MEGDNN_STATIC_ASSERT(sizeof(dt_byte) == 1, "bad dt_byte size");
+MEGDNN_STATIC_ASSERT(sizeof(dt_qint1) == 1, "bad dt_qint1 size");
 MEGDNN_STATIC_ASSERT(sizeof(dt_quint8) == 1, "bad dt_quint8 size");
 MEGDNN_STATIC_ASSERT(sizeof(dt_qint16) == 2, "bad dt_qint16 size");
 MEGDNN_STATIC_ASSERT(sizeof(dt_qint32) == 4, "bad dt_qint32 size");
@@ -677,7 +694,7 @@ MEGDNN_FOREACH_LOWBIT_DTYPE(MEGDNN_DEF_FRACTION_DT)
             return static_cast<_itype>(_maxval);                             \
         }                                                                    \
     };
-
+MEGDNN_DEF_PARAMETERIZED_DT(QuantizedS1, dt_qint1, int8_t, QUANTIZED, SIGNED, 0, 1, 0);
 MEGDNN_DEF_PARAMETERIZED_DT(
         Quantized4Asymm, dt_quint4, uint8_t, QUANTIZED, SIGNED, 0, 15, 4);
 MEGDNN_DEF_PARAMETERIZED_DT(QuantizedS4, dt_qint4, int8_t, QUANTIZED, SIGNED, -8, 7, 4);
@@ -876,6 +893,26 @@ struct DTypeParamImpl<dt_quint4> {
     }
 };
 
+template <>
+struct DTypeParamImpl<dt_qint1> {
+    float scale;
+
+    DTypeParamImpl<dt_qint1>() = default;
+    MGE_WIN_DECLSPEC_FUC DTypeParamImpl<dt_qint1>(float scale);
+#ifdef MEGDNN_CC_HOST
+    std::size_t hash() const;
+#endif
+    bool operator==(const DTypeParam<dt_qint1>& rhs) const;
+    MEGDNN_DEVICE dt_qint1 quantize(float in) const {
+        float v = in / scale;
+        v = roundf(v);
+        v = fmin(fmax(0.f, v), 1.f);
+        return static_cast<dt_qint1>(v);
+    }
+    MEGDNN_DEVICE float dequantize(int8_t in) const { return in * scale; }
+    MEGDNN_DEVICE float dequantize(dt_qint1 in) const { return in.as_int8() * scale; }
+};
+
 template <>
 struct DTypeParamImpl<dt_qint4> {
     float scale;

dnn/src/common/dtype.cpp

@@ -142,6 +142,19 @@ inline bool DTypeParam<dt_qint32>::operator==(const DTypeParam<dt_qint32>& rhs)
     return scale == rhs.scale;
 }
 
+DTypeParam<dt_qint1>::DTypeParamImpl(float scale) : scale{scale} {
+    //! As the nan is not equal to any value
+    megdnn_assert(!std::isnan(scale), "nan number compare is not support");
+}
+
+inline std::size_t DTypeParam<dt_qint1>::hash() const {
+    return std::hash<float>()(scale);
+}
+
+inline bool DTypeParam<dt_qint1>::operator==(const DTypeParam<dt_qint1>& rhs) const {
+    return scale == rhs.scale;
+}
+
 DTypeParam<dt_quint4>::DTypeParamImpl(float scale, uint8_t zero_point)
         : scale{scale}, zero_point{zero_point} {
     //! As the nan is not equal to any value

dnn/src/common/utils.cpp

@@ -241,6 +241,7 @@ float megdnn::mul_scale(DType lhs, DType rhs) {
         return lhs.param<dt>().scale * rhs.param<dt>().scale;
     MEGDNN_FOREACH_QUANTIZED_DTYPE(cb)
     MEGDNN_FOREACH_QUANTIZED_LOWBIT_DTYPE(cb)
+    cb(::megdnn::dtype::QuantizedS1)
 #undef cb
     megdnn_assert_internal(0);
 }
@@ -253,8 +254,9 @@ float megdnn::get_scale(DType dt) {
         return dt.param<_dt>().scale;
     MEGDNN_FOREACH_QUANTIZED_DTYPE(cb)
     MEGDNN_FOREACH_QUANTIZED_LOWBIT_DTYPE(cb)
+    cb(::megdnn::dtype::QuantizedS1)
 #undef cb
-    megdnn_assert_internal(0);
+            megdnn_assert_internal(0);
 }
 
 bool megdnn::dtype_almost_equal(DType lhs, DType rhs) {

dnn/src/cuda/elemwise_helper.cpp

@@ -160,6 +160,9 @@ INST_FOR_CTYPE
 #define ct dt_bool
 INST_FOR_CTYPE
 #undef ct
+#define ct dt_qint1
+INST_FOR_CTYPE
+#undef ct
 
 #undef INST_FOR_CTYPE
 #undef INST
@@ -210,6 +213,9 @@ INST_FOR_CTYPE
 #define ct dt_bool
 INST_FOR_CTYPE
 #undef ct
+#define ct dt_qint1
+INST_FOR_CTYPE
+#undef ct
 
 #undef ndim_cb
 
@@ -221,6 +227,7 @@ INST(dt_int8);
 INST(dt_uint8);
 INST(dt_bool);
 INST(dt_qint8);
+INST(dt_qint1);
 INST(dt_quint8);
 #undef dt_ibyte
 

dnn/src/cuda/elemwise_helper.cuh

@@ -96,6 +96,7 @@ INST(dt_bool, uchar4);
 #undef as_raw
 #define as_raw(x) x.as_int8()
 INST(dt_qint8, char4);
+INST(dt_qint1, char4);
 #undef as_raw
 #define as_raw(x) x.as_uint8()
 INST(dt_quint8, uchar4);
@@ -466,6 +467,7 @@ INST_PARAM_VECT_VISITOR;
 INST_DT_IBYTE(dt_int8);
 INST_DT_IBYTE(dt_uint8);
 INST_DT_IBYTE(dt_qint8);
+INST_DT_IBYTE(dt_qint1);
 INST_DT_IBYTE(dt_quint8);
 INST_DT_IBYTE(dt_bool);
 #undef INST_DT_IBYTE
@@ -1299,6 +1301,7 @@ private:
 INST_DT_IBYTE(dt_int8);
 INST_DT_IBYTE(dt_uint8);
 INST_DT_IBYTE(dt_qint8);
+INST_DT_IBYTE(dt_qint1);
 INST_DT_IBYTE(dt_quint8);
 INST_DT_IBYTE(dt_bool);
 #undef INST_DT_IBYTE
@@ -1649,6 +1652,7 @@ public:
 INST_DT_IBYTE(dt_int8);
 INST_DT_IBYTE(dt_uint8);
 INST_DT_IBYTE(dt_qint8);
+INST_DT_IBYTE(dt_qint1);
 INST_DT_IBYTE(dt_quint8);
 INST_DT_IBYTE(dt_bool);
 #undef INST_DT_IBYTE

dnn/src/cuda/type_cvt/kern.cu

@@ -88,6 +88,7 @@ struct TypeCvtOpToQuantized<
         typename std::enable_if<
                 std::is_same<ctype_src, dt_int8>::value ||
                 std::is_same<ctype_src, dt_uint8>::value ||
+                std::is_same<ctype_src, dt_qint1>::value ||
                 std::is_same<ctype_src, dt_bool>::value>::type> {
     ctype_dest* dest;
     CudaDTypeParam<ctype_dest> param;
@@ -111,6 +112,7 @@ struct TypeCvtOpFromQuantized<
         ctype_dest, ctype_src,
         typename std::enable_if<
                 std::is_same<ctype_src, dt_qint8>::value ||
+                std::is_same<ctype_src, dt_qint1>::value ||
                 std::is_same<ctype_src, dt_quint8>::value>::type> {
     ctype_dest* dest;
     CudaDTypeParam<ctype_src> param;
@@ -134,7 +136,8 @@ struct TypeCvtOpBetweenQuantized<
         ctype_dest, ctype_src,
         typename std::enable_if<
                 (std::is_same<ctype_src, dt_qint8>::value ||
-                 std::is_same<ctype_src, dt_quint8>::value) &&
+                 std::is_same<ctype_src, dt_quint8>::value ||
+                 std::is_same<ctype_src, dt_qint1>::value) &&
                 IsNotTypeQ4<ctype_dest>::value>::type> {
     ctype_dest* dest;
     CudaDTypeParam<ctype_src> src_param;
@@ -306,6 +309,7 @@ void typecvt_kern_n2n(const TensorND& dest, const TensorND& src, cudaStream_t st
     cb(dtype_src, dt_quint8) \
     cb(dtype_src, dt_qint32) \
     cb(dtype_src, dt_qint8)  \
+    cb(dtype_src, dt_qint1)  \
 
 #define INST_SRC_QUANTIZED(dtype_src) \
     MEGDNN_FOREACH_COMPUTING_DTYPE_WITH_DTYPE_SRC(dtype_src, INST_Q2N) \
@@ -330,7 +334,8 @@ void typecvt_kern_n2n(const TensorND& dest, const TensorND& src, cudaStream_t st
     cb(dt_qint32) \
     cb(dt_qint8) \
     cb(dt_qint4)  \
-    cb(dt_quint4)
+    cb(dt_quint4) \
+    cb(dt_qint1)
 
 MEGDNN_FOREACH_QUANTIZED_CTYPE(INST_SRC_QUANTIZED)
 MEGDNN_FOREACH_COMPUTING_CTYPE(INST_SRC_NORMAL)

dnn/src/cuda/type_cvt/opr_impl.cpp

@@ -50,6 +50,7 @@ void exec_src_quantized(
         return;                                             \
     }
             MEGDNN_FOREACH_QUANTIZED_DTYPE(cb);
+            cb(::megdnn::dtype::QuantizedS1);
             default:
                 megdnn_assert_internal(0);
 #undef cb
@@ -101,6 +102,7 @@ void exec_src_normal(const TensorND& dst, const TensorND& src, cudaStream_t stre
         return;                                                               \
     }
             MEGDNN_FOREACH_QUANTIZED_DTYPE(cb);
+            cb(::megdnn::dtype::QuantizedS1);
 #undef cb
             default:
                 megdnn_assert_internal(0);
@@ -150,9 +152,9 @@ void TypeCvtImpl::exec(_megdnn_tensor_in src, _megdnn_tensor_out dst) {
     }
             MEGDNN_FOREACH_QUANTIZED_DTYPE(cb)
             MEGDNN_FOREACH_QUANTIZED_LOWBIT_DTYPE(cb)
+            cb(::megdnn::dtype::QuantizedS1)
 #undef cb
-            default:
-                megdnn_assert_internal(0);
+                    default : megdnn_assert_internal(0);
         }
     }
 }

dnn/src/cuda/utils.cuh

@@ -241,6 +241,23 @@ struct CudaDTypeParamImpl<dt_qint4> : DTypeParamImpl<dt_qint4> {
     }
 };
 
+template <>
+struct CudaDTypeParamImpl<dt_qint1> : DTypeParamImpl<dt_qint1> {
+    float inv_scale;
+    CudaDTypeParamImpl() = default;
+    CudaDTypeParamImpl(float scale)
+            : DTypeParamImpl<dt_qint1>(scale), inv_scale(1.0f / scale) {}
+    CudaDTypeParamImpl(const DTypeParamImpl<dt_qint1>& param)
+            : CudaDTypeParamImpl(param.scale) {}
+
+    __device__ dt_qint1 quantize(float in) const {
+        float v = in * inv_scale;
+        v = roundf(v);
+        v = fmin(fmax(0.f, v), 1.f);
+        return static_cast<dt_qint1>(v);
+    }
+};
+
 #if MEGDNN_CC_CUDA
 static inline MEGDNN_DEVICE void dot_prod(int a, int b, int c, int& d) {
 #if __CUDA_ARCH__ >= 610

dnn/src/fallback/type_cvt/opr_impl.cpp

@@ -510,7 +510,9 @@ void TypeCvtImpl::exec(_megdnn_tensor_in src, _megdnn_tensor_out dst) {
     };
     if (src.layout.is_contiguous() && dst.layout.is_contiguous() &&
         !is_quantize_lowbit(src.layout.dtype) &&
-        !is_quantize_lowbit(dst.layout.dtype)) {
+        !is_quantize_lowbit(dst.layout.dtype) &&
+        dst.layout.dtype.enumv() != DTypeEnum::QuantizedS1 &&
+        src.layout.dtype.enumv() != DTypeEnum::QuantizedS1) {
         MEGDNN_DISPATCH_CPU_KERN_OPR(run_contiguous(src, dst));
     } else {
         naive::TypeCvtImpl::exec(src, dst);

dnn/src/naive/type_cvt/opr_impl.cpp

@@ -79,8 +79,9 @@ void on_dest_ctype(HandleImpl* handle, const TensorND& dest, const TensorND& src
         MEGDNN_FOREACH_QUANTIZED_DTYPE(cb)
         MEGDNN_FOREACH_QUANTIZED_LOWBIT_DTYPE(cb)
         cb(::megdnn::dtype::Bool) cb(::megdnn::dtype::Uint16)
+                cb(::megdnn::dtype::QuantizedS1)
 #undef cb
-                default : megdnn_throw("bad dtype");
+                        default : megdnn_throw("bad dtype");
     }
 }
 
@@ -100,8 +101,9 @@ void TypeCvtImpl::exec(_megdnn_tensor_in src, _megdnn_tensor_out dst) {
         MEGDNN_FOREACH_QUANTIZED_DTYPE(cb)
         MEGDNN_FOREACH_QUANTIZED_LOWBIT_DTYPE(cb)
         cb(::megdnn::dtype::Bool) cb(::megdnn::dtype::Uint16)
+                cb(::megdnn::dtype::QuantizedS1)
 #undef cb
-                default : megdnn_throw("bad dtype");
+                        default : megdnn_throw("bad dtype");
     }
 }
 

dnn/test/common/checker.cpp

@@ -79,7 +79,8 @@ template <typename ctype>
         const char* expr0, const char* expr1, const TensorND& v0, const TensorND& v1,
         float maxerr, float maxerr_avg, float maxerr_avg_biased, bool allow_invalid) {
     if (!std::is_same<ctype, dt_qint4>::value &&
-        !std::is_same<ctype, dt_quint4>::value) {
+        !std::is_same<ctype, dt_quint4>::value &&
+        !std::is_same<ctype, dt_qint1>::value) {
         if (v0.layout.is_physical_contiguous() && v1.layout.is_physical_contiguous()) {
             return assert_tensor_eq_with_iter<ctype>(
                     expr0, expr1, v0.ptr<ctype>(), v1.ptr<ctype>(), v0.layout, maxerr,
@@ -158,7 +159,7 @@ void copy_tensors(
         //! In order to avoid an unnecessary increase in binary size, we just
         //! use QuantizedS16 dtype in winograd_filter_preprocess now.
         cb(::megdnn::dtype::QuantizedS16) MEGDNN_FOREACH_QUANTIZED_LOWBIT_DTYPE(cb)
-                cb(::megdnn::dtype::Uint16)
+                cb(::megdnn::dtype::Uint16) cb(::megdnn::dtype::QuantizedS1)
 #undef cb
                         default : megdnn_trap();
     }

dnn/test/common/dtype.cpp

@@ -71,6 +71,32 @@ TEST(TestDType, TestQuantized8Asymm) {
     EXPECT_ANY_THROW(DType::from_enum(DTypeEnum::Quantized8Asymm));
 }
 
+TEST(TestDType, QuantizedS1) {
+    using namespace megdnn;
+
+    dtype::QuantizedS1 qint1(0.1f);
+    EXPECT_EQ(qint1.size(1), 1u);
+    EXPECT_FLOAT_EQ(qint1.param().scale, 0.1f);
+
+    dtype::QuantizedS1 qint1_copy = qint1;
+    EXPECT_NO_THROW(qint1_copy.assert_is(qint1));
+    EXPECT_FLOAT_EQ(qint1_copy.param().scale, 0.1f);
+
+    dtype::QuantizedS1 qint1_reconstruct_with_same_param(0.1f);
+    EXPECT_NO_THROW(qint1_reconstruct_with_same_param.assert_is(qint1));
+
+    dtype::QuantizedS1 qint1_diff(0.2f);
+    EXPECT_ANY_THROW(qint1_diff.assert_is(qint1));
+
+    DType parent = qint1;
+    ASSERT_NO_THROW(dtype::QuantizedS1::downcast_from(parent));
+    auto param = dtype::QuantizedS1::downcast_from(parent).param();
+    EXPECT_FLOAT_EQ(param.scale, 0.1f);
+
+    EXPECT_ANY_THROW(dtype::QuantizedS1::downcast_from(dtype::IntB1()));
+    EXPECT_ANY_THROW(DType::from_enum(DTypeEnum::QuantizedS1));
+}
+
 TEST(TestDType, TestQuantizedS4) {
     using namespace megdnn;
 

dnn/test/common/rng.cpp

@@ -149,7 +149,7 @@ void IIDRNG::gen(const TensorND& tensor) {
     MEGDNN_FOREACH_QUANTIZED_DTYPE(cb)
     //! In order to avoid an unnecessary increase in binary size, we just
     //! use QuantizedS16 dtype in winograd_filter_preprocess now.
-    cb(::megdnn::dtype::QuantizedS16)
+    cb(::megdnn::dtype::QuantizedS16) cb(::megdnn::dtype::QuantizedS1)
 #undef cb
             if (tensor.layout.dtype.enumv() == DTypeEnum::Quantized4Asymm) {
         auto ptr = static_cast<uint8_t*>(tensor.raw_ptr());

dnn/test/common/utils.h

@@ -226,6 +226,10 @@ static inline int diff(dt_qint4 x, dt_qint4 y) {
     return x.as_int8() - y.as_int8();
 }
 
+static inline int diff(dt_qint1 x, dt_qint1 y) {
+    return x.as_int8() - y.as_int8();
+}
+
 static inline int diff(dt_quint4 x, dt_quint4 y) {
     return x.as_uint8() - y.as_uint8();
 }
@@ -339,6 +343,10 @@ static inline bool good_float(dt_qint4) {
     return true;
 }
 
+static inline bool good_float(dt_qint1) {
+    return true;
+}
+
 static inline bool good_float(dt_quint4) {
     return true;
 }
@@ -373,6 +381,11 @@ static inline int operator+(dt_qint4 lhs, int rhs) {
     megdnn_assert(rhs == 0, "unexpected rhs");
     return lhs.as_int8();
 }
+
+static inline int operator+(dt_qint1 lhs, int rhs) {
+    megdnn_assert(rhs == 0, "unexpected rhs");
+    return lhs.as_int8();
+}
 }  // namespace test
 
 static inline bool operator==(const TensorLayout& a, const TensorLayout& b) {

dnn/test/cuda/type_cvt.cpp

@@ -77,16 +77,19 @@ TEST_F(CUDA, QUANTIZED_TYPECVT) {
     };
 
     run(dtype::Float32(), dtype::QuantizedS8(3.0f));
+    run(dtype::Float32(), dtype::QuantizedS1(3.0f));
     run(dtype::Float16(), dtype::QuantizedS8(3.0f));
     run(dtype::Int32(), dtype::QuantizedS32(5.0f));
     run(dtype::Int8(), dtype::QuantizedS32(10.0f));
 
     run(dtype::Float32(), dtype::QuantizedS8(2e-3f));
+    run(dtype::Float32(), dtype::QuantizedS1(2e-3f));
     run(dtype::Float16(), dtype::QuantizedS8(1e-3f));
     run(dtype::Int32(), dtype::QuantizedS32(1e-3f));
     run(dtype::Int8(), dtype::QuantizedS32(7e-4f));
 
     run(dtype::QuantizedS8(3.0f), dtype::QuantizedS8(10.0f));
+    run(dtype::QuantizedS1(3.0f), dtype::QuantizedS1(10.0f));
     run(dtype::QuantizedS32(3.0f), dtype::QuantizedS8(10.0f));
     run(dtype::QuantizedS8(3.0f), dtype::QuantizedS32(10.0f));
     run(dtype::QuantizedS32(3.0f), dtype::QuantizedS32(10.0f));
@@ -95,6 +98,7 @@ TEST_F(CUDA, QUANTIZED_TYPECVT) {
     run(dtype::QuantizedS32(2e-3f), dtype::QuantizedS8(9e-4f));
     run(dtype::QuantizedS8(9e-4f), dtype::QuantizedS32(7e-4f));
     run(dtype::QuantizedS32(5e-3f), dtype::QuantizedS32(1e-3f));
+    run(dtype::QuantizedS1(1e-3f), dtype::Float32());
 
     run(dtype::Quantized8Asymm(5.0f, (uint8_t)128), dtype::Float32());
     run(dtype::Quantized8Asymm(5.0f, (uint8_t)124), dtype::Float16());

imperative/python/megengine/core/tensor/dtype.py

@@ -94,6 +94,7 @@ _builtin_quant_dtypes = {
     "qint8_narrow": QuantDtypeMeta("qint8_narrow", "QuantizedS8", "int8", -127, 127),
     "quint4": QuantDtypeMeta("quint4", "Quantized4Asymm", "uint8", 0, 15),
     "qint4": QuantDtypeMeta("qint4", "QuantizedS4", "int8", -8, 7),
+    "qint1": QuantDtypeMeta("qint1", "QuantizedS1", "int8", 0, 1),
     "qint32": QuantDtypeMeta(
         "qint32", "QuantizedS32", "int32", -(2 ** 31), 2 ** 31 - 1,
     ),
@@ -192,6 +193,13 @@ def qint4(scale):
     return create_quantized_dtype(_builtin_quant_dtypes["qint4"], scale, None)
 
 
+def qint1(scale):
+    r"""Construct a quantized int1 data type with ``scale`` (float). The real value
+    represented by a qint1 data type is float_val = scale * int1_val
+    """
+    return create_quantized_dtype(_builtin_quant_dtypes["qint1"], scale, None)
+
+
 def _convert_to_quantized_dtype(
     arr: np.ndarray, dtype: np.dtype, dtype_meta: QuantDtypeMeta
 ):
@@ -335,3 +343,22 @@ def convert_from_qint4(arr: np.ndarray):
         arr: Input ndarray.
     """
     return _convert_from_quantized_dtype(arr, _builtin_quant_dtypes["qint4"])
+
+
+def convert_to_qint1(arr: np.ndarray, q: np.dtype):
+    r"""Quantize a float NumPy ndarray into a qint1 one with specified params.
+
+    Args:
+        arr: Input ndarray.
+        q: Target data type, should be a qint1.
+    """
+    return _convert_to_quantized_dtype(arr, q, _builtin_quant_dtypes["qint1"])
+
+
+def convert_from_qint1(arr: np.ndarray):
+    r"""Dequantize a qint1 NumPy ndarray into a float one.
+
+    Args:
+        arr: Input ndarray.
+    """
+    return _convert_from_quantized_dtype(arr, _builtin_quant_dtypes["qint1"])

imperative/python/src/helper.cpp

@@ -214,6 +214,14 @@ std::unique_ptr<PyArray_Descr, PyArrayDescrDeleter> dtype_mgb2np_descr(DType dty
     if (dtype.has_param()) {
         PyArray_Descr* type_descr;
         switch (dtype.enumv()) {
+            case DTypeEnum::QuantizedS1: {
+                auto& param = dtype.param<dtype::QuantizedS1>();
+                type_descr = PyArray_DescrNewFromType(NPY_INT8);
+                type_descr->metadata = build_mgb_dtype_dict(
+                        DTypeTrait<dtype::QuantizedS1>::name,
+                        {{"scale", PyFloat_FromDouble(param.scale)}});
+                break;
+            }
             case DTypeEnum::Quantized4Asymm: {
                 auto& param = dtype.param<dtype::Quantized4Asymm>();
                 type_descr = PyArray_DescrNewFromType(NPY_UINT8);
@@ -354,7 +362,7 @@ DType dtype_np2mgb_descr(PyArray_Descr* descr) {
                     static_cast<uint8_t>(zero_point));
         }
         if (dtype_name == "QuantizedS32" || dtype_name == "QuantizedS8" ||
-            dtype_name == "QuantizedS4") {
+            dtype_name == "QuantizedS4" || dtype_name == "QuantizedS1") {
             PyObject* scale_py = PyDict_GetItemString(metadata, "scale");
             mgb_assert(scale_py, "Invalid metadata: missing scale");
             mgb_assert(
@@ -364,8 +372,10 @@ DType dtype_np2mgb_descr(PyArray_Descr* descr) {
                 return dtype::QuantizedS32(scale);
             } else if (dtype_name == "QuantizedS8") {
                 return dtype::QuantizedS8(scale);
-            } else {
+            } else if (dtype_name == "QuantizedS4") {
                 return dtype::QuantizedS4(scale);
+            } else if (dtype_name == "QuantizedS1") {
+                return dtype::QuantizedS1(scale);
             }
         }
         throw ConversionError(

imperative/python/test/unit/core/test_dtype_quant.py

@@ -15,10 +15,12 @@ import megengine.core.tensor.megbrain_graph as G
 from megengine.core.ops import builtin as ops
 from megengine.core.tensor.dtype import (
     _builtin_quant_dtypes,
+    convert_from_qint1,
     convert_from_qint4,
     convert_from_qint8,
     convert_from_quint4,
     convert_from_quint8,
+    convert_to_qint1,
     convert_to_qint4,
     convert_to_qint8,
     convert_to_quint4,
@@ -26,6 +28,7 @@ from megengine.core.tensor.dtype import (
     get_scale,
     get_zero_point,
     is_quantize,
+    qint1,
     qint4,
     qint8,
     quint4,
@@ -113,9 +116,20 @@ def test_dtype_qint4():
     np.testing.assert_allclose(get_scale(dt), 0.01)
 
 
+def test_dtype_qint1():
+    dt = qint1(0.01)
+    assert isinstance(dt, np.dtype)
+    assert "mgb_dtype" in dt.metadata
+    np.testing.assert_allclose(dt.metadata["mgb_dtype"]["scale"], 0.01)
+
+    assert is_quantize(dt)
+    np.testing.assert_allclose(get_scale(dt), 0.01)
+
+
 @pytest.mark.parametrize(
     "dtype, dtype_name",
     [
+        (qint1(0.01), "qint1"),
         (quint4(0.01, 5), "quint4"),
         (qint4(0.01), "qint4"),
         (quint8(0.01, 135), "quint8"),
@@ -141,6 +155,7 @@ def test_dtype_qint_mgb_ffi_handle(dtype, dtype_name):
 @pytest.mark.parametrize(
     "dtype, dtype_name",
     [
+        (qint1(0.01), "qint1"),
         (quint4(0.01, 5), "quint4"),
         (qint4(0.01), "qint4"),
         (quint8(0.01, 135), "quint8"),
@@ -178,6 +193,7 @@ def test_qint_typecvt(dtype, dtype_name):
 @pytest.mark.parametrize(
     "dtype, dtype_name",
     [
+        (qint1(0.01), "qint1"),
         (quint4(0.01, 5), "quint4"),
         (qint4(0.01), "qint4"),
         (quint8(0.01, 135), "quint8"),
@@ -207,6 +223,7 @@ def test_qint_astype(dtype, dtype_name):
 @pytest.mark.parametrize(
     "dtype, dtype_name",
     [
+        (qint1(0.01), "qint1"),
         (quint4(0.01, 5), "quint4"),
         (qint4(0.01), "qint4"),
         (quint8(0.01, 135), "quint8"),

src/plugin/impl/opr_io_dump.cpp

@@ -42,6 +42,10 @@ double as_double(megdnn::dt_qint4& a) {
     return static_cast<double>(a.as_int8());
 }
 template <>
+double as_double(megdnn::dt_qint1& a) {
+    return static_cast<double>(a.as_int8());
+}
+template <>
 double as_double(megdnn::dt_qint32& a) {
     return static_cast<double>(a.as_int32());
 }
@@ -111,7 +115,7 @@ void print_host_val(
         MEGDNN_FOREACH_COMPUTING_DTYPE(cb)
         MEGDNN_FOREACH_QUANTIZED_DTYPE(cb)
         MEGDNN_FOREACH_QUANTIZED_LOWBIT_DTYPE(cb)
-        cb(dtype::Bool)
+        cb(dtype::Bool) cb(::megdnn::dtype::QuantizedS1)
 #undef cb
                 default : mgb_throw(
                                   MegBrainError,

src/serialization/impl/dtype.fbs

@@ -23,6 +23,7 @@ enum DTypeEnum : byte {
     BFloat16,
     Bool,
     Uint16,
+    QuantizedS1,
 }
 
 table LinearQuantizationParam {

src/serialization/impl/flatbuffers_helper.cpp

@@ -55,6 +55,8 @@ megdnn::DType load_dtype(const fbs::DType* dtype) {
         return dtype::_dt{};
         MEGDNN_FOREACH_DTYPE_NAME(cb)
 #undef cb
+        case DTypeEnum_QuantizedS1:
+            return dtype::QuantizedS1{param->scale()};
         case DTypeEnum_QuantizedS4:
             return dtype::QuantizedS4{param->scale()};
         case DTypeEnum_QuantizedS8:
@@ -113,6 +115,7 @@ flatbuffers::Offset<fbs::DType> build_dtype(
         break;
             CASE_ASYMMETRIC(Quantized4Asymm)
             CASE_ASYMMETRIC(Quantized8Asymm)
+            CASE_SYMMETRIC(QuantizedS1)
             CASE_SYMMETRIC(QuantizedS4)
             CASE_SYMMETRIC(QuantizedS8)
             CASE_SYMMETRIC(QuantizedS16)