1 import Base 2 import ../shape/core.bend as Shape 3 import ../shape/LAWS.bend as ShapeLaws 4 import ../shape/PROOF.bend as ShapeProof 5 import ../shape/nat_proofs.bend as Nats 6 import ../storage/main.bend as Storage 7 import ../storage/LAWS.bend as StorageLaws 8 import ../storage/PROOF.bend as StorageProof 9 import ../storage/arith.bend as Arith 10 import ./core.bend as Core 11 import ./lifecycle.bend as Lifecycle 12 import ./layout.bend as Layout 13 import ./transpose_spec.bend as Transpose 14 import ./transforms.bend as Transforms 15 import ./allocation_PROOF.bend as AllocationProof 16 import ./word_conversion.bend as Conversion 17 import ./read_contract.bend as Reads 18 import ./transform_observation.bend as Observation 19 import ./transform_records.bend as Laws 20 import ./write_contract.bend as Writes 21 22 def shape_complete(+shape: Shape.Shape) -> 23 {ShapeLaws.built(Shape.dimensions(shape), Shape.construct(Shape.dimensions(shape))) == Some{Shape.dimensions(shape)} : Maybe<&2, List<&2, U32>>}: 24 match shape: 25 case Shape.SShape{+dimensions, size, exact, rank_bound, capacity_bound}: 26 ShapeLaws.construction_complete(dimensions, rank_bound, capacity_bound) 27 28 def inside_input(+input: Shape.Shape, +target: Shape.Shape, +other: U32, same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, inside: {Nat.is_lt(U32.to_nat(other), Shape.logical_numel(Shape.dimensions(target))) == True{} : Bool}) -> {Nat.is_lt(U32.to_nat(other), Shape.logical_numel(Shape.dimensions(input))) == True{} : Bool}: 29 %Equal.sym(Nat, Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target)), same) : {Nat.is_lt(U32.to_nat(other), _) == True{} : Bool} 30 inside 31 32 def elements_output(+input: Shape.Shape, +target: Shape.Shape, +output: Shape.Shape, same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, 33 preserved: {Shape.dimensions(output) == Shape.dimensions(target) : List<&2, U32>}) -> 34 {Shape.elements(input) == Shape.elements(output) : Nat}: 35 Equal.trans(Nat, Shape.elements(input), Shape.logical_numel(Shape.dimensions(input)), Shape.elements(output), Shape.elements_exact(input), 36 Equal.trans(Nat, Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target)), Shape.elements(output), same, 37 Equal.trans(Nat, Shape.logical_numel(Shape.dimensions(target)), Shape.logical_numel(Shape.dimensions(output)), Shape.elements(output), 38 Equal.cong(List<&2, U32>, Nat, dims => Shape.logical_numel(dims), Shape.dimensions(target), Shape.dimensions(output), 39 Equal.sym(List<&2, U32>, Shape.dimensions(output), Shape.dimensions(target), preserved)), 40 Equal.sym(Nat, Shape.elements(output), Shape.logical_numel(Shape.dimensions(output)), Shape.elements_exact(output))))) 41 42 def decided_lift(+input: Shape.Shape, +output: Shape.Shape, -storage: Storage.Storage, 43 -valid: {Lifecycle.logical_length(storage) == Shape.logical_numel(Shape.dimensions(input)) : Nat}, 44 decision: Shape.BoolCase, 45 counted: {Shape.elements(input) == Shape.elements(output) : Nat}, 46 -P: Result<&2, &1, Transforms.Error, Core.Dynamic> -> Type, 47 h: @-fits: {Lifecycle.logical_length(storage) == Shape.logical_numel(Shape.dimensions(output)) : Nat} -> P(Done{Core.Packed{output, Core.TTensor{storage, fits}}})) -> 48 P(Transforms.reshape_decided(input, output, Core.TTensor{storage, valid}, decision)): 49 match decision: 50 case Shape.BFalse{no}: 51 Empty.absurd(P(Transforms.reshape_decided(input, output, Core.TTensor{storage, valid}, Shape.BFalse{no})), 52 Nats.contradiction(Nat.is_eq(Shape.elements(input), Shape.elements(output)), 53 AllocationProof.natural_equal_true(Shape.elements(input), Shape.elements(output), counted), no)) 54 case Shape.BTrue{yes}: 55 h(Equal.trans(Nat, Lifecycle.logical_length(storage), Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(output)), valid, Transforms.elements_equal(input, output, yes))) 56 57 def built_lift(+input: Shape.Shape, +target: Shape.Shape, -storage: Storage.Storage, 58 -valid: {Lifecycle.logical_length(storage) == Shape.logical_numel(Shape.dimensions(input)) : Nat}, 59 built: Shape.ConstructResult, 60 complete: {ShapeLaws.built(Shape.dimensions(target), built) == Some{Shape.dimensions(target)} : Maybe<&2, List<&2, U32>>}, 61 +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, -P: Result<&2, &1, Transforms.Error, Core.Dynamic> -> Type, 62 h: @+output: Shape.Shape -> @preserved: {Shape.dimensions(output) == Shape.dimensions(target) : List<&2, U32>} -> 63 @-fits: {Lifecycle.logical_length(storage) == Shape.logical_numel(Shape.dimensions(output)) : Nat} -> P(Done{Core.Packed{output, Core.TTensor{storage, fits}}})) -> 64 P(Transforms.reshape_built(input, Core.TTensor{storage, valid}, Shape.dimensions(target), built)): 65 match built: 66 case Shape.SError{error}: 67 Empty.absurd(P(Transforms.reshape_built(input, Core.TTensor{storage, valid}, Shape.dimensions(target), Shape.SError{error})), 68 Arith.clash(Equal.cong(Maybe<&2, List<&2, U32>>, Bool, found => Maybe.is_some(&2, List<&2, U32>, found), None{}, Some{Shape.dimensions(target)}, complete))) 69 case Shape.SBuilt{+output, +preserved}: 70 decided_lift(input, output, storage, valid, Shape.bool_case(Nat.is_eq(Shape.elements(input), Shape.elements(output))), 71 elements_output(input, target, output, same, preserved), P, h(output, preserved)) 72 73 def reshape_lift(+input: Shape.Shape, +target: Shape.Shape, -storage: Storage.Storage, 74 -valid: {Lifecycle.logical_length(storage) == Shape.logical_numel(Shape.dimensions(input)) : Nat}, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, -P: Result<&2, &1, Transforms.Error, Core.Dynamic> -> Type, 75 h: @+output: Shape.Shape -> @preserved: {Shape.dimensions(output) == Shape.dimensions(target) : List<&2, U32>} -> 76 @-fits: {Lifecycle.logical_length(storage) == Shape.logical_numel(Shape.dimensions(output)) : Nat} -> P(Done{Core.Packed{output, Core.TTensor{storage, fits}}})) -> 77 P(Transforms.reshape(input, Core.TTensor{storage, valid}, Shape.dimensions(target))): 78 built_lift(input, target, storage, valid, Shape.construct(Shape.dimensions(target)), shape_complete(target), same, P, h) 79 80 def dynamic_value(+output: Shape.Shape, -storage: Storage.Storage, 81 -fits: {Lifecycle.logical_length(storage) == Shape.logical_numel(Shape.dimensions(output)) : Nat}, +other: U32, 82 pair: Storage.Storage & Result<&2, &2, Storage.Error, F32>, -equal: {pair == Storage.get(storage, other) : Storage.Storage & Result<&2, &2, Storage.Error, F32>}) -> 83 {Core.dynamic_read_value(Core.read_dynamic_result(output, Core.read_result(output, storage, fits, other, pair, equal))) == 84 Lifecycle.read_value(pair) : Maybe<&2, F32>}: 85 (kept, result) = pair 86 match result: 87 case Fail{error}: 88 {==} 89 case Done{value}: 90 {==} 91 92 def reshaped_value(+input: Shape.Shape, +target: Shape.Shape, storage: Storage.Storage, 93 -valid: {Lifecycle.logical_length(storage) == Shape.logical_numel(Shape.dimensions(input)) : Nat}, +other: U32, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}) -> 94 {Observation.output_value(other, Transforms.reshape(input, Core.TTensor{storage, valid}, Shape.dimensions(target))) == 95 Lifecycle.read_value(Storage.get(storage, other)) : Maybe<&2, F32>}: 96 reshape_lift(input, target, storage, valid, same, 97 result => {Observation.output_value(other, result) == Lifecycle.read_value(Storage.get(storage, other)) : Maybe<&2, F32>}, 98 output => preserved => fits => dynamic_value(output, storage, fits, other, Storage.get(storage, other), {==})) 99 100 def reshape_outcome(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}) -> 101 {Observation.reshape_code(input, Shape.dimensions(target), Core.new(input, fill)) == Some{0} : Maybe<&2, U32>}: 102 Reads.new_lift(input, fill, result => {Observation.reshape_code(input, Shape.dimensions(target), result) == Some{0} : Maybe<&2, U32>}, 103 valid => reshape_lift(input, target, StorageLaws.created(Shape.count(input), fill), valid, same, 104 result => {Some{Observation.status(result)} == Some{0} : Maybe<&2, U32>}, 105 output => preserved => fits => {==})) 106 107 def reshape_dimensions(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}) -> 108 {Observation.reshape_dimensions(input, Shape.dimensions(target), Core.new(input, fill)) == Some{Shape.dimensions(target)} : Maybe<&2, List<&2, U32>>}: 109 Reads.new_lift(input, fill, result => {Observation.reshape_dimensions(input, Shape.dimensions(target), result) == Some{Shape.dimensions(target)} : Maybe<&2, List<&2, U32>>}, 110 valid => reshape_lift(input, target, StorageLaws.created(Shape.count(input), fill), valid, same, 111 result => {Observation.output_dimensions(result) == Some{Shape.dimensions(target)} : Maybe<&2, List<&2, U32>>}, 112 output => preserved => fits => Equal.cong(List<&2, U32>, Maybe<&2, List<&2, U32>>, dims => Some{dims}, Shape.dimensions(output), Shape.dimensions(target), preserved))) 113 114 def reshape_length(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}) -> 115 {Observation.reshape_length(input, Shape.dimensions(target), Core.new(input, fill)) == Some{Shape.logical_numel(Shape.dimensions(target))} : Maybe<&2, Nat>}: 116 Reads.new_lift(input, fill, result => {Observation.reshape_length(input, Shape.dimensions(target), result) == Some{Shape.logical_numel(Shape.dimensions(target))} : Maybe<&2, Nat>}, 117 valid => reshape_lift(input, target, StorageLaws.created(Shape.count(input), fill), valid, same, 118 result => {Observation.output_length(result) == Some{Shape.logical_numel(Shape.dimensions(target))} : Maybe<&2, Nat>}, 119 output => preserved => fits => Equal.cong(Nat, Maybe<&2, Nat>, number => Some{number}, Lifecycle.logical_length(StorageLaws.created(Shape.count(input), fill)), Shape.logical_numel(Shape.dimensions(target)), 120 Equal.trans(Nat, Lifecycle.logical_length(StorageLaws.created(Shape.count(input), fill)), Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target)), Reads.created_exact(input, fill), same)))) 121 122 def reshape_count(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}) -> 123 {Observation.reshape_count(input, Shape.dimensions(target), Core.new(input, fill)) == Some{Shape.count(target)} : Maybe<&2, U32>}: 124 Reads.new_lift(input, fill, result => {Observation.reshape_count(input, Shape.dimensions(target), result) == Some{Shape.count(target)} : Maybe<&2, U32>}, 125 valid => reshape_lift(input, target, StorageLaws.created(Shape.count(input), fill), valid, same, 126 result => {Observation.output_count(result) == Some{Shape.count(target)} : Maybe<&2, U32>}, 127 output => preserved => fits => Equal.cong(Nat, Maybe<&2, U32>, number => Some{U32.from_nat(number)}, Shape.elements(output), Shape.elements(target), 128 Equal.trans(Nat, Shape.elements(output), Shape.elements(input), Shape.elements(target), 129 Equal.sym(Nat, Shape.elements(input), Shape.elements(output), elements_output(input, target, output, same, preserved)), 130 Equal.trans(Nat, Shape.elements(input), Shape.logical_numel(Shape.dimensions(input)), Shape.elements(target), Shape.elements_exact(input), 131 Equal.trans(Nat, Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target)), Shape.elements(target), same, Equal.sym(Nat, Shape.elements(target), Shape.logical_numel(Shape.dimensions(target)), Shape.elements_exact(target)))))))) 132 133 def reshape_value_done(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, -valid: {Lifecycle.logical_length(StorageLaws.created(Shape.count(input), fill)) == Shape.logical_numel(Shape.dimensions(input)) : Nat}, +other: U32, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, inside: {Nat.is_lt(U32.to_nat(other), Shape.logical_numel(Shape.dimensions(target))) == True{} : Bool}) -> 134 {Observation.reshape_value(input, Shape.dimensions(target), other, Done{Core.TTensor{StorageLaws.created(Shape.count(input), fill), valid}}) == Some{fill} : Maybe<&2, F32>}: 135 Equal.trans(Maybe<&2, F32>, Observation.output_value(other, Transforms.reshape(input, Core.TTensor{StorageLaws.created(Shape.count(input), fill), valid}, Shape.dimensions(target))), 136 Lifecycle.read_value(Storage.get(StorageLaws.created(Shape.count(input), fill), other)), Some{fill}, 137 reshaped_value(input, target, StorageLaws.created(Shape.count(input), fill), valid, other, same), 138 Reads.stored_value(StorageLaws.created(Shape.count(input), fill), other, fill, 139 StorageLaws.replay_get(Shape.count(input), fill, [], other, Conversion.shape_count_within(input), 140 Reads.word_inside(input, other, inside_input(input, target, other, same, inside))))) 141 142 def written_projection(+input: Shape.Shape, +target: Shape.Shape, -original: Storage.Storage, 143 -valid: {Lifecycle.logical_length(original) == Shape.logical_numel(Shape.dimensions(input)) : Nat}, +index: U32, +value: F32, +other: U32, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, 144 pair: Storage.Storage & Result<&2, &2, Storage.Error, Unit>, 145 -equal: {pair == Storage.set(original, index, value) : Storage.Storage & Result<&2, &2, Storage.Error, Unit>}) -> 146 {Observation.reshape_written_pair(input, Shape.dimensions(target), other, Core.write_result(input, original, valid, index, value, pair, equal)) == 147 Lifecycle.read_value(Storage.get(StorageLaws.owner(Result<&2, &2, Storage.Error, Unit>, pair), other)) : Maybe<&2, F32>}: 148 (storage, result) = pair 149 reshaped_value(input, target, storage, 150 Equal.trans(Nat, Lifecycle.logical_length(storage), Lifecycle.logical_length(original), Shape.logical_numel(Shape.dimensions(input)), 151 %Equal.sym(Storage.Storage & Result<&2, &2, Storage.Error, Unit>, (storage, result), Storage.set(original, index, value), equal) : 152 {Lifecycle.retained_write(_) == Lifecycle.logical_length(original) : Nat} 153 Lifecycle.set_length(original, index, value), valid), 154 other, same) 155 156 def written_done(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, -valid: {Lifecycle.logical_length(StorageLaws.created(Shape.count(input), fill)) == Shape.logical_numel(Shape.dimensions(input)) : Nat}, +index: U32, +value: F32, +other: U32, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, inside: {Nat.is_lt(U32.to_nat(other), Shape.logical_numel(Shape.dimensions(target))) == True{} : Bool}) -> 157 {Observation.reshape_written(input, index, value, Shape.dimensions(target), other, Done{Core.TTensor{StorageLaws.created(Shape.count(input), fill), valid}}) == 158 Some{Writes.written_pick(input, index, value, other, fill)} : Maybe<&2, F32>}: 159 Equal.trans(Maybe<&2, F32>, 160 Observation.reshape_written_pair(input, Shape.dimensions(target), other, 161 Core.write_result(input, StorageLaws.created(Shape.count(input), fill), valid, index, value, Storage.set(StorageLaws.created(Shape.count(input), fill), index, value), {==})), 162 Lifecycle.read_value(Storage.get(StorageLaws.written(StorageLaws.created(Shape.count(input), fill), index, value), other)), 163 Some{Writes.written_pick(input, index, value, other, fill)}, 164 written_projection(input, target, StorageLaws.created(Shape.count(input), fill), valid, index, value, other, same, Storage.set(StorageLaws.created(Shape.count(input), fill), index, value), {==}), 165 Reads.stored_value(StorageLaws.written(StorageLaws.created(Shape.count(input), fill), index, value), other, Writes.written_pick(input, index, value, other, fill), 166 StorageLaws.replay_get(Shape.count(input), fill, [StorageLaws.Write{index, value}], other, Conversion.shape_count_within(input), 167 Reads.word_inside(input, other, inside_input(input, target, other, same, inside))))) 168 169 def reshape_written(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, +index: U32, +value: F32, +other: U32, -expected: F32, 170 +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, inside: {Nat.is_lt(U32.to_nat(other), Shape.logical_numel(Shape.dimensions(target))) == True{} : Bool}, picked: {Writes.written_pick(input, index, value, other, fill) == expected : F32}) -> 171 {Observation.reshape_written(input, index, value, Shape.dimensions(target), other, Core.new(input, fill)) == Some{expected} : Maybe<&2, F32>}: 172 Reads.new_lift(input, fill, result => {Observation.reshape_written(input, index, value, Shape.dimensions(target), other, result) == Some{expected} : Maybe<&2, F32>}, 173 valid => Equal.trans(Maybe<&2, F32>, Observation.reshape_written(input, index, value, Shape.dimensions(target), other, Done{Core.TTensor{StorageLaws.created(Shape.count(input), fill), valid}}), 174 Some{Writes.written_pick(input, index, value, other, fill)}, Some{expected}, 175 written_done(input, fill, target, valid, index, value, other, same, inside), 176 Equal.cong(F32, Maybe<&2, F32>, number => Some{number}, Writes.written_pick(input, index, value, other, fill), expected, picked))) 177 178 def target_inside(+input: Shape.Shape, +target: Shape.Shape, +index: U32, same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}, 179 inside: {Nat.is_lt(U32.to_nat(index), Shape.logical_numel(Shape.dimensions(input))) == True{} : Bool}) -> {Nat.is_lt(U32.to_nat(index), Shape.logical_numel(Shape.dimensions(target))) == True{} : Bool}: 180 %same : {Nat.is_lt(U32.to_nat(index), _) == True{} : Bool} 181 inside 182 183 def reshape_contract(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}) -> Laws.ReshapeContract: 184 +same = same 185 Laws.ReshapeContract{ 186 reshape_outcome(input, fill, target, same), 187 reshape_dimensions(input, fill, target, same), 188 reshape_length(input, fill, target, same), 189 reshape_count(input, fill, target, same), 190 other => inside => Reads.new_lift(input, fill, result => {Observation.reshape_value(input, Shape.dimensions(target), other, result) == Some{fill} : Maybe<&2, F32>}, 191 valid => reshape_value_done(input, fill, target, valid, other, same, inside))} 192 193 def reshape_write(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, +index: U32, +value: F32, 194 inside: {Nat.is_lt(U32.to_nat(index), Shape.logical_numel(Shape.dimensions(input))) == True{} : Bool}, same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}) -> Laws.ReshapeWrite: 195 +inside = inside 196 +same = same 197 Laws.ReshapeWrite{ 198 reshape_written(input, fill, target, index, value, index, value, same, target_inside(input, target, index, same, inside), 199 Writes.pick_hit(input, index, value, fill, inside)), 200 other => inside_other => different => 201 reshape_written(input, fill, target, index, value, other, fill, same, inside_other, 202 Writes.pick_frame(input, index, value, other, fill, inside, different))} 203 204 def mismatch_decided(+input: Shape.Shape, +target: Shape.Shape, +output: Shape.Shape, -tensor: Core.Tensor, 205 decision: Shape.BoolCase, 206 preserved: {Shape.dimensions(output) == Shape.dimensions(target) : List<&2, U32>}, 207 different: {Nat.is_eq(Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target))) == False{} : Bool}) -> 208 {Transforms.reshape_decided(input, output, tensor, decision) == Fail{Transforms.LayoutError{Layout.ElementCountMismatch{}}} : Result<&2, &1, Transforms.Error, Core.Dynamic>}: 209 match decision: 210 case Shape.BFalse{no}: 211 {==} 212 case Shape.BTrue{yes}: 213 Empty.absurd({Transforms.reshape_decided(input, output, tensor, Shape.BTrue{yes}) == Fail{Transforms.LayoutError{Layout.ElementCountMismatch{}}} : Result<&2, &1, Transforms.Error, Core.Dynamic>}, 214 Nats.contradiction(Nat.is_eq(Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target))), 215 AllocationProof.natural_equal_true(Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target)), 216 Equal.trans(Nat, Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(output)), Shape.logical_numel(Shape.dimensions(target)), Transforms.elements_equal(input, output, yes), 217 Equal.cong(List<&2, U32>, Nat, dims => Shape.logical_numel(dims), Shape.dimensions(output), Shape.dimensions(target), preserved))), 218 Equal.sym(Bool, Nat.is_eq(Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target))), False{}, different))) 219 220 def mismatch_built(+input: Shape.Shape, +target: Shape.Shape, -tensor: Core.Tensor, 221 built: Shape.ConstructResult, 222 complete: {ShapeLaws.built(Shape.dimensions(target), built) == Some{Shape.dimensions(target)} : Maybe<&2, List<&2, U32>>}, 223 different: {Nat.is_eq(Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target))) == False{} : Bool}) -> 224 {Transforms.reshape_built(input, tensor, Shape.dimensions(target), built) == Fail{Transforms.LayoutError{Layout.ElementCountMismatch{}}} : Result<&2, &1, Transforms.Error, Core.Dynamic>}: 225 match built: 226 case Shape.SError{error}: 227 Empty.absurd({Transforms.reshape_built(input, tensor, Shape.dimensions(target), Shape.SError{error}) == Fail{Transforms.LayoutError{Layout.ElementCountMismatch{}}} : Result<&2, &1, Transforms.Error, Core.Dynamic>}, 228 Arith.clash(Equal.cong(Maybe<&2, List<&2, U32>>, Bool, found => Maybe.is_some(&2, List<&2, U32>, found), None{}, Some{Shape.dimensions(target)}, complete))) 229 case Shape.SBuilt{+output, preserved}: 230 mismatch_decided(input, target, output, tensor, Shape.bool_case(Nat.is_eq(Shape.elements(input), Shape.elements(output))), preserved, different) 231 232 def reshape_count_mismatch(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, 233 different: {Nat.is_eq(Shape.logical_numel(Shape.dimensions(input)), Shape.logical_numel(Shape.dimensions(target))) == False{} : Bool}) -> 234 {Observation.reshape_code(input, Shape.dimensions(target), Core.new(input, fill)) == Some{15} : Maybe<&2, U32>}: 235 +different = different 236 Reads.new_lift(input, fill, result => {Observation.reshape_code(input, Shape.dimensions(target), result) == Some{15} : Maybe<&2, U32>}, 237 valid => Equal.cong(Result<&2, &1, Transforms.Error, Core.Dynamic>, Maybe<&2, U32>, result => Some{Observation.status(result)}, 238 Transforms.reshape(input, Core.TTensor{StorageLaws.created(Shape.count(input), fill), valid}, Shape.dimensions(target)), Fail{Transforms.LayoutError{Layout.ElementCountMismatch{}}}, 239 mismatch_built(input, target, Core.TTensor{StorageLaws.created(Shape.count(input), fill), valid}, Shape.construct(Shape.dimensions(target)), shape_complete(target), different)))