""" Copyright 2021 Alyssa Rosenzweig # SPDX-License-Identifier: MIT """ opcodes = {} immediates = {} enums = {} VARIABLE = ~0 class Opcode(object): def __init__(self, name, dests, srcs, imms, is_float, can_eliminate, can_reorder, schedule_class, encoding_16, encoding_32): self.name = name self.dests = dests if dests != VARIABLE else 0 self.srcs = srcs if srcs != VARIABLE else 0 self.variable_srcs = (srcs == VARIABLE) self.variable_dests = (dests == VARIABLE) self.imms = imms self.is_float = is_float self.can_eliminate = can_eliminate self.can_reorder = can_reorder self.schedule_class = schedule_class self.encoding_16 = encoding_16 self.encoding_32 = encoding_32 class Immediate(object): def __init__(self, name, ctype): self.name = name self.ctype = ctype class Encoding(object): def __init__(self, description): (exact, mask, length_short, length_long) = description # Convenience if length_long is None: length_long = length_short self.exact = exact self.mask = mask self.length_short = length_short self.extensible = length_short != length_long if self.extensible: assert(length_long == length_short + (4 if length_short > 8 else 2)) def op(name, encoding_32, dests = 1, srcs = 0, imms = [], is_float = False, can_eliminate = True, can_reorder = True, encoding_16 = None, schedule_class = "none"): encoding_16 = Encoding(encoding_16) if encoding_16 is not None else None encoding_32 = Encoding(encoding_32) if encoding_32 is not None else None opcodes[name] = Opcode(name, dests, srcs, imms, is_float, can_eliminate, can_reorder, schedule_class, encoding_16, encoding_32) def immediate(name, ctype = "uint32_t"): imm = Immediate(name, ctype) immediates[name] = imm return imm def enum(name, value_dict): enums[name] = value_dict return immediate(name, "enum agx_" + name) L = (1 << 15) _ = None FORMAT = immediate("format", "enum agx_format") IMM = immediate("imm", "uint64_t") WRITEOUT = immediate("writeout") INDEX = immediate("index") COMPONENT = immediate("component") CHANNELS = immediate("channels") TRUTH_TABLE = immediate("truth_table") ROUND = immediate("round", "enum agx_round") SHIFT = immediate("shift") MASK = immediate("mask") BFI_MASK = immediate("bfi_mask") LOD_MODE = immediate("lod_mode", "enum agx_lod_mode") PIXEL_OFFSET = immediate("pixel_offset") STACK_SIZE = immediate("stack_size", 'int16_t') EXPLICIT_COORDS = immediate("explicit_coords", "bool") DIM = enum("dim", { 0: '1d', 1: '1d_array', 2: '2d', 3: '2d_array', 4: '2d_ms', 5: '3d', 6: 'cube', 7: 'cube_array', 8: '2d_ms_array', }) GATHER = enum("gather", { 0b000: "none", 0b001: "r", 0b011: "g", 0b101: "b", 0b111: "a", }) OFFSET = immediate("offset", "bool") SHADOW = immediate("shadow", "bool") QUERY_LOD = immediate("query_lod", "bool") SCOREBOARD = immediate("scoreboard") ICOND = immediate("icond", "enum agx_icond") FCOND = immediate("fcond", "enum agx_fcond") NEST = immediate("nest") INVERT_COND = immediate("invert_cond") NEST = immediate("nest") TARGET = immediate("target", "agx_block *") ZS = immediate("zs") SR = enum("sr", { 0: 'threadgroup_position_in_grid.x', 1: 'threadgroup_position_in_grid.y', 2: 'threadgroup_position_in_grid.z', 4: 'threads_per_threadgroup.x', 5: 'threads_per_threadgroup.y', 6: 'threads_per_threadgroup.z', 8: 'dispatch_threads_per_threadgroup.x', 9: 'dispatch_threads_per_threadgroup.y', 10: 'dispatch_threads_per_threadgroup.z', 14: 'samples_log2', 20: 'core_id', 21: 'vm_slot', 48: 'thread_position_in_threadgroup.x', 49: 'thread_position_in_threadgroup.y', 50: 'thread_position_in_threadgroup.z', 51: 'thread_index_in_threadgroup', 52: 'thread_index_in_subgroup', 53: 'subgroup_index_in_threadgroup', 56: 'active_thread_index_in_quad', 57: 'total_active_threads_in_quad', 58: 'active_thread_index_in_subgroup', 59: 'total_active_threads_in_subgroup', 60: 'coverage_mask', 62: 'backfacing', 63: 'is_active_thread', 80: 'thread_position_in_grid.x', 81: 'thread_position_in_grid.y', 82: 'thread_position_in_grid.z', 124: 'input_sample_mask', 144: 'helper_op', 146: 'helper_arg_l', 147: 'helper_arg_h', }) ATOMIC_OPC = enum("atomic_opc", { 0: 'add', 1: 'sub', 2: 'xchg', 3: 'cmpxchg', 4: 'umin', 5: 'imin', 6: 'umax', 7: 'imax', 8: 'and', 9: 'or', 10: 'xor', }) INTERPOLATION = enum("interpolation", { 0: 'center', 1: 'sample', 2: 'centroid', # We translate sample -> sample_register at pack time for simplicity 3: 'sample_register', }) SIMD_OP = enum("simd_op", { 0b00000: 'and', 0b00001: 'fadd', 0b00010: 'or', 0b00011: 'fmul', 0b00100: 'xor', 0b00101: 'fmin', 0b00111: 'fmax', 0b10000: 'iadd', 0b10100: 'smin', 0b10110: 'smax', 0b11100: 'umin', 0b11110: 'umax', }) FUNOP = lambda x: (x << 28) FUNOP_MASK = FUNOP((1 << 14) - 1) def funop(name, opcode, schedule_class = "none"): op(name, (0x0A | (opcode << 28), 0x3F | (((1 << 14) - 1) << 28), 4, 6), srcs = 1, is_float = True, schedule_class = schedule_class) def iunop(name, opcode): assert(opcode < 4) op(name, (0x3E | (opcode << 26), 0x7F | L | (((1 << 14) - 1) << 26), 6, _), srcs = 1) # Listing of opcodes funop("floor", 0b000000) funop("srsqrt", 0b000001) funop("dfdx", 0b000100, schedule_class = "coverage") funop("dfdy", 0b000110, schedule_class = "coverage") funop("rcp", 0b001000) funop("rsqrt", 0b001001) funop("sin_pt_1", 0b001010) funop("log2", 0b001100) funop("exp2", 0b001101) funop("sin_pt_2", 0b001110) funop("ceil", 0b010000) funop("trunc", 0b100000) funop("roundeven", 0b110000) iunop("bitrev", 0b01) iunop("popcount", 0b10) iunop("ffs", 0b11) op("fadd", encoding_16 = (0x26, 0x3F, 4, 6), encoding_32 = (0x2A, 0x3F, 4, 6), srcs = 2, is_float = True) op("fma", encoding_16 = (0x36, 0x3F, 6, 8), encoding_32 = (0x3A, 0x3F, 6, 8), srcs = 3, is_float = True) op("fmul", encoding_16 = (0x16, 0x3F, 4, 6), encoding_32 = (0x1A, 0x3F, 4, 6), srcs = 2, is_float = True) op("mov_imm", encoding_32 = (0x62, 0xFF, 6, 8), encoding_16 = (0x62, 0xFF, 4, 6), imms = [IMM]) op("iadd", encoding_32 = (0x0E, 0x3F | L, 8, _), srcs = 2, imms = [SHIFT]) op("imad", encoding_32 = (0x1E, 0x3F | L, 8, _), srcs = 3, imms = [SHIFT]) op("bfi", encoding_32 = (0x2E, 0x7F | (0x3 << 26), 8, _), srcs = 3, imms = [BFI_MASK]) op("bfeil", encoding_32 = (0x2E | L, 0x7F | L | (0x3 << 26), 8, _), srcs = 3, imms = [BFI_MASK]) op("extr", encoding_32 = (0x2E | (0x1 << 26), 0x7F | L | (0x3 << 26), 8, _), srcs = 3, imms = [BFI_MASK]) op("asr", encoding_32 = (0x2E | L | (0x1 << 26), 0x7F | L | (0x3 << 26), 8, _), srcs = 2) def subgroup_op(name, opc): exact = 0b01101111 | L | (opc << 29) exact_mask = 0b11111111 | L | (0x3 << 29) op(name, encoding_32 = (exact, exact_mask, 6, _), srcs = 1, imms = [SIMD_OP]) subgroup_op("quad_reduce", 0x0) subgroup_op("simd_reduce", 0x1) subgroup_op("quad_prefix", 0x2) subgroup_op("simd_prefix", 0x3) for window, w_bit in [('quad_', 0), ('', 1)]: for s, shuffle in enumerate(['', '_xor', '_up', '_down']): op(f"{window}shuffle{shuffle}", encoding_32 = (0b01101111 | (w_bit << 26) | (s << 38), 0xFF | L | (1 << 47) | (3 << 38) | (3 << 26), 6, _), srcs = 2) # Pseudo-instruction ballotting a boolean op(f"{window}ballot", _, srcs = 1) for T, T_bit, cond in [('f', 0, FCOND), ('i', 1, ICOND)]: op(f"{T}cmp_{window}ballot", encoding_32 = (0b0100010 | (T_bit << 4) | (w_bit << 48), 0, 8, _), srcs = 2, imms = [cond, INVERT_COND]) op("icmpsel", encoding_32 = (0x12, 0x7F, 8, 10), srcs = 4, imms = [ICOND]) op("fcmpsel", encoding_32 = (0x02, 0x7F, 8, 10), srcs = 4, imms = [FCOND]) # Pseudo-instructions for compares returning 1/0 op("icmp", _, srcs = 2, imms = [ICOND, INVERT_COND]) op("fcmp", _, srcs = 2, imms = [FCOND, INVERT_COND]) # sources are coordinates, LOD, texture bindless base (zero for texture state # registers), texture, sampler, shadow/offset # TODO: anything else? op("texture_sample", encoding_32 = (0x31, 0x7F, 8, 10), # XXX WRONG SIZE srcs = 6, imms = [DIM, LOD_MODE, MASK, SCOREBOARD, OFFSET, SHADOW, QUERY_LOD, GATHER]) for memory, can_reorder in [("texture", True), ("image", False)]: op(f"{memory}_load", encoding_32 = (0x71, 0x7F, 8, 10), # XXX WRONG SIZE srcs = 6, imms = [DIM, LOD_MODE, MASK, SCOREBOARD, OFFSET], can_reorder = can_reorder, schedule_class = "none" if can_reorder else "load") # sources are base, index op("device_load", encoding_32 = (0x05, 0x7F, 6, 8), srcs = 2, imms = [FORMAT, MASK, SHIFT, SCOREBOARD], can_reorder = False, schedule_class = "load") # sources are base (relative to workgroup memory), index op("local_load", encoding_32 = (0b1101001, 0, 6, 8), srcs = 2, imms = [FORMAT, MASK], can_reorder = False, schedule_class = "load") # sources are value, base, index # TODO: Consider permitting the short form op("device_store", encoding_32 = (0x45 | (1 << 47), 0, 8, _), dests = 0, srcs = 3, imms = [FORMAT, MASK, SHIFT, SCOREBOARD], can_eliminate = False, schedule_class = "store") # sources are value, base, index op("local_store", encoding_32 = (0b0101001, 0, 6, 8), dests = 0, srcs = 3, imms = [FORMAT, MASK], can_eliminate=False, schedule_class = "store") # sources are value, index # TODO: Consider permitting the short form op("uniform_store", encoding_32 = ((0b111 << 27) | 0b1000101 | (1 << 47), 0, 8, _), dests = 0, srcs = 2, imms = [MASK], can_eliminate = False) # sources are value, base, index op("atomic", encoding_32 = (0x15 | (1 << 26) | (1 << 31) | (5 << 44), 0x3F | (1 << 26) | (1 << 31) | (5 << 44), 8, _), dests = 1, srcs = 3, imms = [ATOMIC_OPC, SCOREBOARD], can_eliminate = False, schedule_class = "atomic") # XXX: stop hardcoding the long form op("local_atomic", encoding_32 = (0x19 | (1 << 15) | (1 << 36) | (1 << 47), 0x3F | (1 << 36) | (1 << 47), 10, _), dests = 1, srcs = 3, imms = [ATOMIC_OPC], schedule_class = "atomic", can_eliminate = False) op("wait", (0x38, 0xFF, 2, _), dests = 0, can_eliminate = False, imms = [SCOREBOARD], schedule_class = "invalid") for (suffix, schedule_class) in [("", "none"), ("_coverage", "coverage"), ("_barrier", "barrier")]: op(f"get_sr{suffix}", (0x72, 0x7F | L, 4, _), dests = 1, imms = [SR], schedule_class = schedule_class, can_reorder = schedule_class == "none") op("sample_mask", (0x7fc1, 0xffff, 6, _), dests = 0, srcs = 2, can_eliminate = False, schedule_class = "coverage") # Sources: sample mask, combined depth/stencil op("zs_emit", (0x41, 0xFF | L, 4, _), dests = 0, srcs = 2, can_eliminate = False, imms = [ZS], schedule_class = "coverage") # Sources: sample mask, explicit coords (if present) op("ld_tile", (0x49, 0x7F, 8, _), dests = 1, srcs = 2, imms = [FORMAT, MASK, PIXEL_OFFSET, EXPLICIT_COORDS], can_reorder = False, schedule_class = "coverage") # Sources: value, sample mask, explicit coords (if present) op("st_tile", (0x09, 0x7F, 8, _), dests = 0, srcs = 3, can_eliminate = False, imms = [FORMAT, MASK, PIXEL_OFFSET, EXPLICIT_COORDS], schedule_class = "coverage") for (name, exact) in [("any", 0xC000), ("none", 0xC020), ("none_after", 0xC020)]: op("jmp_exec_" + name, (exact, (1 << 16) - 1, 6, _), dests = 0, srcs = 0, can_eliminate = False, schedule_class = "invalid", imms = [TARGET]) # TODO: model implicit r0l destinations op("pop_exec", (0x52 | (0x3 << 9), ((1 << 48) - 1) ^ (0x3 << 7) ^ (0x3 << 11), 6, _), dests = 0, srcs = 0, can_eliminate = False, schedule_class = "invalid", imms = [NEST]) for is_float in [False, True]: mod_mask = 0 if is_float else (0x3 << 26) | (0x3 << 38) for (cf, cf_op) in [("if", 0), ("else", 1), ("while", 2)]: name = "{}_{}cmp".format(cf, "f" if is_float else "i") exact = 0x42 | (0x0 if is_float else 0x10) | (cf_op << 9) mask = 0x7F | (0x3 << 9) | mod_mask | (0x3 << 44) imms = [NEST, FCOND if is_float else ICOND, INVERT_COND, TARGET] op(name, (exact, mask, 6, _), dests = 0, srcs = 2, can_eliminate = False, imms = imms, is_float = is_float, schedule_class = "preload" if cf == "else" else "invalid") op("bitop", (0x7E, 0x7F, 6, _), srcs = 2, imms = [TRUTH_TABLE]) op("intl", (0x3E, 0x7F, 6, _), srcs = 2, imms = []) op("convert", (0x3E | L, 0x7F | L | (0x3 << 38), 6, _), srcs = 2, imms = [ROUND]) # Sources are the coeffient register and the sample index (if applicable) op("iter", (0x21, 0xBF, 8, _), srcs = 2, imms = [CHANNELS, INTERPOLATION]) # Sources are the coeffient register for the varying, the coefficient register # for W, and the sample index (if applicable) op("iterproj", (0x21, 0xBF, 8, _), srcs = 3, imms = [CHANNELS, INTERPOLATION]) op("ldcf", (0xA1, 0xBF, 8, _), srcs = 1, imms = [CHANNELS]) op("st_vary", None, dests = 0, srcs = 2, can_eliminate = False) op("no_varyings", (0x80000051, 0xFFFFFFFF, 4, _), dests = 0, can_eliminate = False) op("stop", (0x88, 0xFFFF, 2, _), dests = 0, can_eliminate = False, schedule_class = "invalid") op("trap", (0x08, 0xFFFF, 2, _), dests = 0, can_eliminate = False, schedule_class = "invalid") # These are modelled as total barriers since they can guard global memory # access too, and even need to be properly ordered with loads. op("wait_pix", (0x48, 0xFF, 4, _), dests = 0, imms = [WRITEOUT], can_eliminate = False, schedule_class = "barrier") op("signal_pix", (0x58, 0xFF, 4, _), dests = 0, imms = [WRITEOUT], can_eliminate = False, schedule_class = "barrier") # Sources are the data vector, the coordinate vector, the LOD, the bindless # table if present (zero for texture state registers), and texture index. op("image_write", (0xF1 | (1 << 23) | (9 << 43), 0xFF, 6, 8), dests = 0, srcs = 5, imms = [DIM], can_eliminate = False, schedule_class = "store") # Sources are the image base, image index, the offset within shared memory, and # the coordinates (or just the layer if implicit). # TODO: Do we need the short encoding? op("block_image_store", (0xB1, 0xFF, 10, _), dests = 0, srcs = 4, imms = [FORMAT, DIM, EXPLICIT_COORDS], can_eliminate = False, schedule_class = "store") # Barriers op("threadgroup_barrier", (0x0068, 0xFFFF, 2, _), dests = 0, srcs = 0, can_eliminate = False, schedule_class = "barrier") def memory_barrier(name, a, b, c): op(name, (0xF5 | (a << 10) | (b << 8) | (c << 12), 0xFFFF, 2, _), dests = 0, srcs = 0, can_eliminate = False, schedule_class = "barrier") memory_barrier("memory_barrier", 1, 2, 9) # TODO: Not clear what these individually are. Some might be cache flushes? memory_barrier("image_barrier_1", 2, 2, 10) memory_barrier("image_barrier_2", 3, 2, 10) memory_barrier("image_barrier_3", 2, 1, 10) memory_barrier("image_barrier_4", 3, 1, 10) memory_barrier("flush_memory_to_texture", 0, 0, 4) memory_barrier("memory_barrier_2", 2, 2, 9) memory_barrier("memory_barrier_3", 2, 1, 9) memory_barrier("unknown_barrier_1", 0, 3, 3) memory_barrier("unknown_barrier_2", 0, 3, 0) op("doorbell", (0x60020 | 0x28 << 32, (1 << 48) - 1, 6, _), dests = 0, can_eliminate = False, can_reorder = False, imms = [IMM]) op("stack_unmap", (0x00075, (1 << 24) - 1, 8, _), dests = 1, srcs = 0, can_eliminate = False, can_reorder = False, imms = [IMM]) op("stack_map", (0x10075, (1 << 24) - 1, 8, _), dests = 0, srcs = 1, can_eliminate = False, can_reorder = False, imms = [IMM]) op("stack_adjust", encoding_32 = (0x10100b5, (1 << 26) - 1, 8, _), dests = 0, srcs = 0, can_eliminate = False, can_reorder = False, imms = [STACK_SIZE], schedule_class = "store") # source is offset op("stack_load", encoding_32 = (0x35, (1 << 20) - 1, 6, 8), srcs = 1, imms = [FORMAT, MASK, SCOREBOARD], can_reorder = False, schedule_class = "load") # sources are value and offset op("stack_store", encoding_32 = (0xb5, (1 << 20) - 1, 6, 8), dests = 0, srcs = 2, imms = [FORMAT, MASK, SCOREBOARD], can_eliminate=False, schedule_class = "store") # Convenient aliases. op("mov", _, srcs = 1) op("not", _, srcs = 1) op("collect", _, srcs = VARIABLE) op("split", _, srcs = 1, dests = VARIABLE) op("phi", _, srcs = VARIABLE, schedule_class = "preload") op("unit_test", _, dests = 0, srcs = 1, can_eliminate = False) # Like mov, but takes a register and can only appear at the start. Guaranteed # to be coalesced during RA, rather than lowered to a real move. op("preload", _, srcs = 1, schedule_class = "preload") # Opposite of preload. Exports a scalar value to a particular register at the # end of the shader part. Must only appear after the logical end of the exit # block, this avoids special casing the source's liveness. Logically all exports # happen in parallel at the end of the shader part. op("export", _, dests = 0, srcs = 1, imms = [IMM], can_eliminate = False, schedule_class = "invalid") # Pseudo-instructions to set the nesting counter. Lowers to r0l writes after RA. op("begin_cf", _, dests = 0, can_eliminate = False) op("break", _, dests = 0, imms = [NEST, TARGET], can_eliminate = False, schedule_class = "invalid") for (name, is_float) in [("break_if_icmp", False), ("break_if_fcmp", True)]: op(name, _, dests = 0, srcs = 2, imms = [NEST, INVERT_COND, FCOND if is_float else ICOND, TARGET], can_eliminate = False, schedule_class = "invalid")