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# to you under the Apache License, Version 2.0 (the
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#
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# pylint: disable=invalid-name,missing-function-docstring
"""Intrinsics for Hexagon tensorization."""

from tvm.script import tirx as T

from .. import TensorIntrin


def generate_dma_load_intrin(
    size: int,
    dtype: str,
):
    """Generator of dma_load intrins"""

    @T.prim_func(s_tir=True)
    def sync_dma_load_desc(a: T.handle, c: T.handle) -> None:
        A = T.match_buffer(a, (size), dtype, offset_factor=1, scope="global")
        C = T.match_buffer(c, (size), dtype, offset_factor=1, scope="global.vtcm")
        with T.sblock("root"):
            T.reads(A[0:size])
            T.writes(C[0:size])
            for i in T.serial(size):
                with T.sblock("load"):
                    vii = T.axis.remap("S", [i])
                    C[vii] = A[vii]

    @T.prim_func(s_tir=True)
    def sync_dma_load_impl(a: T.handle, c: T.handle) -> None:
        A = T.match_buffer(a, (size), dtype, offset_factor=1, scope="global")
        C = T.match_buffer(c, (size), dtype, offset_factor=1, scope="global.vtcm")
        with T.sblock("root"):
            T.reads(A[0:size])
            T.writes(C[0:size])
            T.evaluate(
                T.tvm_call_packed(
                    "device_api.hexagon.dma_copy_dltensor",
                    T.tvm_stack_make_array(
                        T.address_of(C[0], dtype="handle"),
                        T.tvm_stack_make_shape(size, dtype="handle"),
                        0,
                        1,
                        C.dtype,
                        0,
                        dtype="handle",
                    ),
                    T.tvm_stack_make_array(
                        T.address_of(A[0], dtype="handle"),
                        T.tvm_stack_make_shape(size, dtype="handle"),
                        0,
                        1,
                        A.dtype,
                        0,
                        dtype="handle",
                    ),
                    T.cast(size, dtype="int"),
                    False,  # Do not use experimental bypass mode.
                    dtype="int32",
                )
            )

    return sync_dma_load_desc, sync_dma_load_impl


def generate_dot_product_32x4_u8u8i32(mem_scope="global"):
    @T.prim_func(s_tir=True)
    def dot_product_32x4_u8u8i32_desc(a: T.handle, b: T.handle, c: T.handle) -> None:
        A = T.match_buffer(a, (4,), "uint8", offset_factor=1, scope=mem_scope)
        B = T.match_buffer(b, (32, 4), "uint8", offset_factor=1, scope=mem_scope)
        C = T.match_buffer(c, (32,), "int32", offset_factor=1, scope=mem_scope)
        with T.sblock("root"):
            T.reads(C[0:32], A[0:4], B[0:32, 0:4])
            T.writes(C[0:32])
            for i in T.serial(0, 32):
                for k in T.serial(0, 4):
                    with T.sblock("update"):
                        vi, vk = T.axis.remap("SR", [i, k])
                        C[vi] = C[vi] + T.cast(A[vk], "int32") * T.cast(B[vi, vk], "int32")

    @T.prim_func(s_tir=True)
    def dot_product_32x4_u8u8i32_vrmpy(a: T.handle, b: T.handle, c: T.handle) -> None:
        A = T.match_buffer(a, (4,), "uint8", offset_factor=1, scope=mem_scope)
        B = T.match_buffer(b, (32, 4), "uint8", offset_factor=1, scope=mem_scope)
        C = T.match_buffer(c, (32,), "int32", offset_factor=1, scope=mem_scope)
        with T.sblock("root"):
            T.reads(C[0:32], A[0:4], B[0:32, 0:4])
            T.writes(C[0:32])

            A_u8x4 = A.vload([0], "uint8x4")
            A_i32 = T.reinterpret(A_u8x4, dtype="int32")

            B_i8x128 = B.vload([0, 0], dtype="uint8x128")
            B_i32x32 = T.reinterpret(B_i8x128, dtype="int32x32")

            C[T.ramp(T.int32(0), 1, 32)] = T.call_llvm_pure_intrin(
                T.llvm_lookup_intrinsic_id("llvm.hexagon.V6.vrmpyub.acc.128B"),
                C[T.ramp(T.int32(0), 1, 32)],
                B_i32x32,
                A_i32,
                dtype="int32x32",
            )

    return dot_product_32x4_u8u8i32_desc, dot_product_32x4_u8u8i32_vrmpy


def generate_dot_product_32x4_u8i8i32(mem_scope="global"):
    @T.prim_func(s_tir=True)
    def dot_product_32x4_u8i8i32_desc(a: T.handle, b: T.handle, c: T.handle) -> None:
        A = T.match_buffer(a, (4,), "uint8", offset_factor=1, scope=mem_scope)
        B = T.match_buffer(b, (32, 4), "int8", offset_factor=1, scope=mem_scope)
        C = T.match_buffer(c, (32,), "int32", offset_factor=1, scope=mem_scope)
        with T.sblock("root"):
            T.reads(C[0:32], A[0:4], B[0:32, 0:4])
            T.writes(C[0:32])
            for i in T.serial(0, 32):
                for k in T.serial(0, 4):
                    with T.sblock("update"):
                        vi, vk = T.axis.remap("SR", [i, k])
                        C[vi] = C[vi] + T.cast(A[vk], "int32") * T.cast(B[vi, vk], "int32")

    @T.prim_func(s_tir=True)
    def dot_product_32x4_u8i8i32_vrmpy(a: T.handle, b: T.handle, c: T.handle) -> None:
        A = T.match_buffer(a, (4,), "uint8", offset_factor=1, scope=mem_scope)
        B = T.match_buffer(b, (32, 4), "int8", offset_factor=1, scope=mem_scope)
        C = T.match_buffer(c, (32,), "int32", offset_factor=1, scope=mem_scope)
        with T.sblock("root"):
            T.reads(C[0:32], A[0:4], B[0:32, 0:4])
            T.writes(C[0:32])

            A_u8x4 = A.vload([0], "uint8x4")
            A_i32 = T.reinterpret(A_u8x4, dtype="int32")

            B_i8x128 = B.vload([0, 0], dtype="int8x128")
            B_i32x32 = T.reinterpret(B_i8x128, dtype="int32x32")

            C[T.ramp(T.int32(0), 1, 32)] = T.call_llvm_pure_intrin(
                T.llvm_lookup_intrinsic_id("llvm.hexagon.V6.vrmpybusv.acc.128B"),
                C[T.ramp(T.int32(0), 1, 32)],
                T.broadcast(A_i32, 32),
                B_i32x32,
                dtype="int32x32",
            )

    return dot_product_32x4_u8i8i32_desc, dot_product_32x4_u8i8i32_vrmpy


def generate_dot_product_32x2_i16i16i32(mem_scope="global"):
    @T.prim_func(s_tir=True)
    def dot_product_32x2_i16i16i32_desc(a: T.handle, b: T.handle, c: T.handle) -> None:
        A = T.match_buffer(a, (2,), "int16", offset_factor=1, scope=mem_scope)
        B = T.match_buffer(b, (32, 2), "int16", offset_factor=1, scope=mem_scope)
        C = T.match_buffer(c, (32,), "int32", offset_factor=1, scope=mem_scope)
        with T.sblock("root"):
            T.reads(C[0:32], A[0:2], B[0:32, 0:2])
            T.writes(C[0:32])
            for i in T.serial(0, 32):
                for k in T.serial(0, 2):
                    with T.sblock("update"):
                        vi, vk = T.axis.remap("SR", [i, k])
                        C[vi] = C[vi] + T.cast(A[vk], "int32") * T.cast(B[vi, vk], "int32")

    @T.prim_func(s_tir=True)
    def dot_product_32x2_i16i16i32_vdmpy(a: T.handle, b: T.handle, c: T.handle) -> None:
        A = T.match_buffer(a, (2,), "int16", offset_factor=1, scope=mem_scope)
        B = T.match_buffer(b, (32, 2), "int16", offset_factor=1, scope=mem_scope)
        C = T.match_buffer(c, (32,), "int32", offset_factor=1, scope=mem_scope)
        with T.sblock("root"):
            T.reads(C[0:32], A[0:2], B[0:32, 0:2])
            T.writes(C[0:32])

            A_i16x2 = A.vload([0], "int16x2")
            A_i32 = T.reinterpret(A_i16x2, dtype="int32")

            B_i16x64 = B.vload([0, 0], dtype="int16x64")
            B_i32x32 = T.reinterpret(B_i16x64, dtype="int32x32")

            C[T.ramp(T.int32(0), 1, 32)] = T.call_llvm_pure_intrin(
                T.llvm_lookup_intrinsic_id("llvm.hexagon.V6.vdmpyhvsat.acc.128B"),
                C[T.ramp(T.int32(0), 1, 32)],
                T.Broadcast(A_i32, 32),
                B_i32x32,
                dtype="int32x32",
            )

    return dot_product_32x2_i16i16i32_desc, dot_product_32x2_i16i16i32_vdmpy


VRMPY_u8u8i32_INTRIN = "dot_32x4_u8u8i32_vrmpy"

TensorIntrin.register(VRMPY_u8u8i32_INTRIN, *generate_dot_product_32x4_u8u8i32())

VRMPY_u8i8i32_INTRIN = "dot_32x4_u8i8i32_vrmpy"

TensorIntrin.register(VRMPY_u8i8i32_INTRIN, *generate_dot_product_32x4_u8i8i32())

VDMPY_i16i16i32_INTRIN = "dot_product_32x2_i16i16i32_vdmpy"

TensorIntrin.register(VDMPY_i16i16i32_INTRIN, *generate_dot_product_32x2_i16i16i32())

VRMPY_u8u8i32_VTCM_INTRIN = "dot_32x4_u8u8i32_vtcm_vrmpy"
TensorIntrin.register(VRMPY_u8u8i32_VTCM_INTRIN, *generate_dot_product_32x4_u8u8i32("global.vtcm"))

VRMPY_u8i8i32_VTCM_INTRIN = "dot_32x4_u8i8i32_vtcm_vrmpy"
TensorIntrin.register(VRMPY_u8i8i32_VTCM_INTRIN, *generate_dot_product_32x4_u8i8i32("global.vtcm"))

DMA_READ_128_u8 = "dma_read_128_u8"
TensorIntrin.register(DMA_READ_128_u8, *generate_dma_load_intrin(128, "uint8"))

DMA_READ_128_i8 = "dma_read_128_i8"
TensorIntrin.register(DMA_READ_128_i8, *generate_dma_load_intrin(128, "int8"))