File size: 12,422 Bytes
dfb774a 6418c9f dfb774a 6418c9f dfb774a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 | config.decl @tiny.context : %value: index where [range(%value, 1, 262144)]
config.decl @tiny.spans : %value: index where [range(%value, 1, 262144)]
config.decl @tiny.tokens : %value: index where [range(%value, 1, 524288)]
config.def @tiny.bias_delta = 0 : i32
// Logical positions resolve through the native row-major page map. The opaque
// row record supplies the byte origin of this model's pooled history plane.
// Admission bounds positions by context and pages by blocks; these facts also
// hold when the helper remains a callable function instead of being inlined.
func.def @history_offset(%origins: buffer, %row: index, %position: index, %blocks: index) -> (offset) {
%c0 = index.constant 0 : offset
%c4 = index.constant 4 : index
%word = index.constant 4 : offset
%record_stride = index.constant 40 : offset
%bounded_row = index.assume %row [range(%row, 0, 2147483646)] : index
%record_offset = index.scale %bounded_row, %record_stride : index, offset -> offset
%bounded_position = index.assume %position [range(%position, 0, 262143)] : index
%records = buffer.view %origins[%record_offset] : buffer -> view<5xi64>
%base64 = view.load %records[2] : view<5xi64> -> i64
%map64 = view.load %records[4] : view<5xi64> -> i64
%map_bound = scalar.assume %map64 [range(%map64, 0, 9223372036854775807)] : i64
%map_origin = index.cast %map_bound : i64 to offset
%base_positive = scalar.assume %base64 [range(%base64, 0, 9223372036854775807)] : i64
%base = index.cast %base_positive : i64 to offset
%page_value = index.div %bounded_position, %c4 : index
%c1 = index.constant 1 : index
%last = index.sub %blocks, %c1 : index
%page = index.assume %page_value [range(%page_value, 0, %last), lt(%page_value, %blocks)] : index
%map = buffer.view %origins[%map_origin] : buffer -> view<[%blocks]xi32>
%physical32 = view.load %map[%page] : view<[%blocks]xi32> -> i32
%bounded_physical = scalar.assume %physical32 [range(%physical32, 0, 1048575)] : i32
%physical = index.cast %bounded_physical : i32 to index
%block_position = index.mul %physical, %c4 : index
%within_page = index.rem %bounded_position, %c4 : index
%slot = index.add %block_position, %within_page : index
%bytes = index.scale %slot, %word : index, offset -> offset
%address = index.add %base, %bytes : offset
func.return %address : offset
}
// One scalar worker per live span is intentional: this is an ownership/ABI
// witness, not a transformer performance proxy. Chunking cannot affect math.
kernel.def @consume() {
%spans = config.get @tiny.spans : index
%c1 = index.constant 1 : index
kernel.launch.config workgroups(%spans, %c1, %c1) workgroup_size(%c1, %c1, %c1) : index
} launch(%bias: view<1xi32>, %residual: buffer, %metadata: buffer, %origins: buffer, %arena: buffer, %tokens: buffer) {
%spans = config.get @tiny.spans : index
%span = kernel.workgroup.id<x> : index
%origin = index.constant 0 : offset
%c16 = index.constant 16 : offset
%header = buffer.view %metadata[%origin] : buffer -> view<4xi32>
%count32 = view.load %header[0] : view<4xi32> -> i32
%count = index.cast %count32 : i32 to index
%live = index.cmp ult, %span, %count : index
scf.if %live {
%packets = buffer.view %metadata[%c16] : buffer -> view<[%spans]x9xi32>
%length32 = view.load %packets[%span, 0] : view<[%spans]x9xi32> -> i32
%position32 = view.load %packets[%span, 1] : view<[%spans]x9xi32> -> i32
%source32 = view.load %packets[%span, 2] : view<[%spans]x9xi32> -> i32
%row32 = view.load %packets[%span, 3] : view<[%spans]x9xi32> -> i32
%input32 = view.load %packets[%span, 4] : view<[%spans]x9xi32> -> i32
%length_bound = scalar.assume %length32 [range(%length32, 1, 262144)] : i32
%position_bound = scalar.assume %position32 [range(%position32, 0, 262143)] : i32
%source_bound = scalar.assume %source32 [range(%source32, 0, 524287)] : i32
%row_bound = scalar.assume %row32 [range(%row32, 0, 2147483646)] : i32
%row_value = index.cast %row_bound : i32 to index
%input_bound = scalar.assume %input32 [range(%input32, 0, 262143)] : i32
%length = index.cast %length_bound : i32 to index
%position = index.cast %position_bound : i32 to index
%source = index.cast %source_bound : i32 to index
%row = index.assume %row_value [range(%row_value, 0, 2147483646)] : index
%input = index.cast %input_bound : i32 to index
%record_stride = index.constant 40 : offset
%record_offset = index.scale %row, %record_stride : index, offset -> offset
%records = buffer.view %origins[%record_offset] : buffer -> view<5xi64>
%read64 = view.load %records[0] : view<5xi64> -> i64
%write64 = view.load %records[1] : view<5xi64> -> i64
%fork64 = view.load %records[3] : view<5xi64> -> i64
%position64 = scalar.extui %position32 : i32 to i64
%fork = scalar.cmpi eq, %position64, %fork64 : i64
%reader64 = scf.select %fork, %read64, %write64 : i64
%reader_bound = scalar.assume %reader64 [range(%reader64, 0, 9223372036854775807)] : i64
%writer_bound = scalar.assume %write64 [range(%write64, 0, 9223372036854775807)] : i64
%reader = index.cast %reader_bound : i64 to offset
%writer = index.cast %writer_bound : i64 to offset
%read_state = buffer.view %arena[%reader] : buffer -> view<1xi32>
%write_state = buffer.view %arena[%writer] : buffer -> view<1xi32>
%context = config.get @tiny.context : index
%c0 = index.constant 0 : index
%c1 = index.constant 1 : index
%c2 = index.constant 2 : index
%c3 = index.constant 3 : index
%c4 = index.constant 4 : index
%padded = index.add %context, %c3 : index
%blocks = index.div %padded, %c4 : index
%c0_i32 = scalar.constant 0 : i32
%fresh = index.cmp eq, %position, %c0 : index
%initial_h, %initial_k = scf.if %fresh -> (i32, i32) {
scf.yield %c0_i32, %c0_i32 : i32, i32
} else {
%h = view.load %read_state[0] : view<1xi32> -> i32
%previous = index.sub %position, %c1 : index
%offset = func.call @history_offset(%origins, %row, %previous, %blocks) : (buffer, index, index, index) -> (offset)
%last = buffer.view %arena[%offset] : buffer -> view<1xi32>
%k = view.load %last[0] : view<1xi32> -> i32
scf.yield %h, %k : i32, i32
}
%checkpoint_bias = view.load %bias[0] : view<1xi32> -> i32
%bias_delta = config.get @tiny.bias_delta : i32
%bias_value = scalar.addi %checkpoint_bias, %bias_delta : i32
%capacity = config.get @tiny.tokens : index
%c5_i32 = scalar.constant 5 : i32
%c7_i32 = scalar.constant 7 : i32
%c1_i32 = scalar.constant 1 : i32
%c97 = scalar.constant 97 : i32
%c101 = scalar.constant 101 : i32
%final_h, %final_k = scf.for %i = [%c0 to %length step %c1](%h = %initial_h : i32, %k = %initial_k : i32) -> (i32, i32) {
%input_position = index.add %input, %i : index
%bounded_input = index.assume %input_position [lt(%input_position, %capacity)] : index
%ids = buffer.view %tokens[%origin] : buffer -> view<[%capacity]xi32>
%token = view.load %ids[%bounded_input] : view<[%capacity]xi32> -> i32
%scaled_h = scalar.muli %h, %c5_i32 : i32
%with_token = scalar.addi %scaled_h, %token : i32
%with_bias = scalar.addi %with_token, %bias_value : i32
%next_h = scalar.remui %with_bias, %c97 : i32
%absolute = index.add %position, %i : index
%source_delta = index.mul %i, %c2 : index
%absolute_source = index.add %source, %source_delta : index
%absolute_source32 = index.cast %absolute_source : index to i32
%absolute_position32 = scalar.shrui %absolute_source32, %c1_i32 : i32
%scaled_k = scalar.muli %k, %c7_i32 : i32
%with_h = scalar.addi %scaled_k, %next_h : i32
%with_position = scalar.addi %with_h, %absolute_position32 : i32
%next_k = scalar.remui %with_position, %c101 : i32
%offset = func.call @history_offset(%origins, %row, %absolute, %blocks) : (buffer, index, index, index) -> (offset)
%cache = buffer.view %arena[%offset] : buffer -> view<1xi32>
view.store %next_k, %cache[0] : i32, view<1xi32>
scf.yield %next_h, %next_k : i32, i32
}
view.store %final_h, %write_state[0] : i32, view<1xi32>
%hidden = buffer.view %residual[%origin] : buffer -> view<[%spans]xi32>
view.store %final_h, %hidden[%span] : i32, view<[%spans]xi32>
}
kernel.return
}
kernel.def @select() {
%spans = config.get @tiny.spans : index
%c1 = index.constant 1 : index
kernel.launch.config workgroups(%spans, %c1, %c1) workgroup_size(%c1, %c1, %c1) : index
} launch(%residual: buffer, %metadata: buffer, %origins: buffer, %arena: buffer, %outputs: buffer) {
%spans = config.get @tiny.spans : index
%span = kernel.workgroup.id<x> : index
%origin = index.constant 0 : offset
%c16 = index.constant 16 : offset
%header = buffer.view %metadata[%origin] : buffer -> view<4xi32>
%count32 = view.load %header[0] : view<4xi32> -> i32
%count = index.cast %count32 : i32 to index
%live = index.cmp ult, %span, %count : index
scf.if %live {
%packets = buffer.view %metadata[%c16] : buffer -> view<[%spans]x9xi32>
%flags = view.load %packets[%span, 6] : view<[%spans]x9xi32> -> i32
%c0_i32 = scalar.constant 0 : i32
%c1_i32 = scalar.constant 1 : i32
%bits = scalar.andi %flags, %c1_i32 : i32
%selected = scalar.cmpi ne, %bits, %c0_i32 : i32
scf.if %selected {
%length32 = view.load %packets[%span, 0] : view<[%spans]x9xi32> -> i32
%position32 = view.load %packets[%span, 1] : view<[%spans]x9xi32> -> i32
%source32 = view.load %packets[%span, 2] : view<[%spans]x9xi32> -> i32
%row32 = view.load %packets[%span, 3] : view<[%spans]x9xi32> -> i32
%end32 = scalar.addi %position32, %length32 : i32
%c2_i32 = scalar.constant 2 : i32
%source_length32 = scalar.muli %length32, %c2_i32 : i32
%source_end32 = scalar.addi %source32, %source_length32 : i32
%end_bound = scalar.assume %end32 [range(%end32, 1, 262144)] : i32
%source_end_bound = scalar.assume %source_end32 [range(%source_end32, 1, 524288)] : i32
%row_bound = scalar.assume %row32 [range(%row32, 0, 2147483646)] : i32
%row_value = index.cast %row_bound : i32 to index
%end = index.cast %end_bound : i32 to index
%row = index.assume %row_value [range(%row_value, 0, 2147483646)] : index
%c0 = index.constant 0 : index
%c1 = index.constant 1 : index
%c3 = index.constant 3 : index
%c4 = index.constant 4 : index
%context = config.get @tiny.context : index
%padded = index.add %context, %c3 : index
%blocks = index.div %padded, %c4 : index
%sum = scf.for %position = [%c0 to %end step %c1](%previous = %c0_i32 : i32) -> (i32) {
%offset = func.call @history_offset(%origins, %row, %position, %blocks) : (buffer, index, index, index) -> (offset)
%cache = buffer.view %arena[%offset] : buffer -> view<1xi32>
%value = view.load %cache[0] : view<1xi32> -> i32
%next = scalar.addi %previous, %value : i32
scf.yield %next : i32
}
%hidden = buffer.view %residual[%origin] : buffer -> view<[%spans]xi32>
%h = view.load %hidden[%span] : view<[%spans]xi32> -> i32
%total = scalar.addi %h, %sum : i32
%c3_i32 = scalar.constant 3 : i32
%c11_i32 = scalar.constant 11 : i32
%token = scalar.remui %total, %c3_i32 : i32
%source_phase = scalar.shrui %source_end_bound, %c1_i32 : i32
%phase = scalar.remui %source_phase, %c11_i32 : i32
%terminal = scalar.cmpi eq, %phase, %c0_i32 : i32
%eos = view.load %header[1] : view<4xi32> -> i32
%prediction = scf.select %terminal, %eos, %token : i32
%result = buffer.view %outputs[%origin] : buffer -> view<[%spans]xi32>
view.store %prediction, %result[%span] : i32, view<[%spans]xi32>
}
}
kernel.return
}
command.program.def public @advance() launch(%weights: buffer, %residual: buffer, %metadata: buffer, %origins: buffer, %arena: buffer, %tokens: buffer, %outputs: buffer) {
%bias = command.parameter %weights, "bias" : view<1xi32>
kernel.launch @consume(%bias, %residual, %metadata, %origins, %arena, %tokens) : (view<1xi32>, buffer, buffer, buffer, buffer, buffer)
kernel.launch @select(%residual, %metadata, %origins, %arena, %outputs) : (buffer, buffer, buffer, buffer, buffer)
command.return
}
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