Better implementation of MergeComputeNodesPass
Validate Operations / validate-operations (push) Has been cancelled
Validate Operations / validate-operations (push) Has been cancelled
This commit is contained in:
@@ -9,6 +9,7 @@ add_pim_library(OMPimCommon
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IR/LoopUtils.cpp
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IR/ShapeUtils.cpp
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IR/ShapingUtils.cpp
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IR/StaticIntSequence.cpp
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IR/SubviewUtils.cpp
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IR/TensorSliceUtils.cpp
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IR/WeightUtils.cpp
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@@ -10,6 +10,32 @@ using namespace mlir;
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namespace onnx_mlir {
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ConstantPool::ConstantPool(Operation *constantAnchor, OpBuilder &builder)
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: anchor(constantAnchor), block(getConstantInsertionBlock(constantAnchor)),
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builder(builder) {
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for (Operation &op : *block)
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if (auto constant = dyn_cast<arith::ConstantOp>(&op))
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cache.try_emplace(
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std::make_pair(constant.getType(), constant.getValue()),
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constant.getResult());
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}
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Value ConstantPool::getIndex(int64_t value) {
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return get(builder.getIndexType(), builder.getIndexAttr(value));
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}
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Value ConstantPool::get(Type type, Attribute value) {
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auto key = std::make_pair(type, value);
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if (Value existing = cache.lookup(key))
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return existing;
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OpBuilder::InsertionGuard guard(builder);
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builder.setInsertionPointToStart(block);
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Value constant = arith::ConstantOp::create(
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builder, anchor->getLoc(), type, cast<TypedAttr>(value)).getResult();
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cache.try_emplace(key, constant);
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return constant;
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}
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static std::optional<int64_t> getIndexConstantValue(arith::ConstantOp constantOp) {
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if (!constantOp.getType().isIndex())
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return std::nullopt;
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@@ -6,10 +6,26 @@
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#include "mlir/IR/Value.h"
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#include "mlir/Transforms/FoldUtils.h"
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#include "llvm/ADT/DenseMap.h"
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#include <optional>
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namespace onnx_mlir {
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class ConstantPool {
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public:
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ConstantPool(mlir::Operation *constantAnchor, mlir::OpBuilder &builder);
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mlir::Value getIndex(int64_t value);
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mlir::Value get(mlir::Type type, mlir::Attribute value);
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private:
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mlir::Operation *anchor;
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mlir::Block *block;
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mlir::OpBuilder &builder;
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llvm::DenseMap<std::pair<mlir::Type, mlir::Attribute>, mlir::Value> cache;
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};
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mlir::Block* getConstantInsertionBlock(mlir::Operation* anchorOp);
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mlir::Value
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@@ -0,0 +1,539 @@
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/Tensor/IR/Tensor.h"
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#include "llvm/ADT/STLExtras.h"
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#include "llvm/Support/ErrorHandling.h"
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#include "llvm/Support/MathExtras.h"
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#include <limits>
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#include "AffineUtils.hpp"
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#include "ConstantUtils.hpp"
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#include "StaticIntSequence.hpp"
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using namespace mlir;
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namespace onnx_mlir {
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namespace {
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static bool getAffineValue(int64_t base, int64_t step, size_t index,
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int64_t &value) {
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if (index > static_cast<size_t>(std::numeric_limits<int64_t>::max()))
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return false;
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int64_t scaled;
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return !llvm::MulOverflow(static_cast<int64_t>(index), step, scaled)
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&& !llvm::AddOverflow(base, scaled, value);
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}
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static FailureOr<SmallVector<int64_t>> getI64Values(Operation *op,
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StringRef name) {
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Attribute attr = op->getAttr(name);
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if (!attr)
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return op->emitOpError() << "is missing " << name << " metadata",
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failure();
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if (auto scalar = dyn_cast<IntegerAttr>(attr))
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return SmallVector<int64_t> {scalar.getInt()};
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if (auto array = dyn_cast<DenseI64ArrayAttr>(attr))
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return SmallVector<int64_t>(array.asArrayRef());
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auto elements = dyn_cast<DenseIntElementsAttr>(attr);
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auto type = elements ? dyn_cast<RankedTensorType>(elements.getType())
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: RankedTensorType();
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if (!elements || !type || type.getRank() != 1
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|| !type.getElementType().isInteger(64))
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return op->emitOpError() << "has invalid " << name << " metadata",
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failure();
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SmallVector<int64_t> values;
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values.reserve(elements.getNumElements());
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for (APInt value : elements.getValues<APInt>())
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values.push_back(value.getSExtValue());
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return values;
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}
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} // namespace
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StaticIntSequence StaticIntSequence::uniform(int64_t value, size_t count) {
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assert(count != 0 && "empty static integer sequence");
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StaticIntSequence result;
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result.kind = StaticIntSequenceKind::Uniform;
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result.count = count;
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result.base = value;
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return result;
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}
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StaticIntSequence StaticIntSequence::affine(int64_t base, int64_t step,
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size_t count) {
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assert(count != 0 && "empty static integer sequence");
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int64_t last;
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assert(getAffineValue(base, step, count - 1, last)
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&& "overflowing static affine sequence");
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if (count == 1 || step == 0)
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return uniform(base, count);
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StaticIntSequence result;
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result.kind = StaticIntSequenceKind::Affine;
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result.count = count;
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result.base = base;
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result.step = step;
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return result;
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}
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StaticIntSequence StaticIntSequence::runLengthEncoded(
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ArrayRef<int64_t> runs, size_t count) {
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assert(count != 0 && runs.size() % 2 == 0
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&& "invalid run-length encoded sequence");
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StaticIntSequence result;
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result.kind = StaticIntSequenceKind::RunLengthEncoded;
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result.count = count;
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result.data.assign(runs);
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return result;
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}
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StaticIntSequence StaticIntSequence::fromValues(ArrayRef<int64_t> values) {
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assert(!values.empty() && "empty static integer sequence");
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if (llvm::all_equal(values))
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return uniform(values.front(), values.size());
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int64_t step;
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bool isAffine = !llvm::SubOverflow(values[1], values[0], step);
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for (size_t index = 1; isAffine && index < values.size(); ++index) {
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int64_t difference;
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isAffine = !llvm::SubOverflow(values[index], values[index - 1],
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difference)
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&& difference == step;
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}
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if (isAffine)
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return affine(values.front(), step, values.size());
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SmallVector<int64_t> runs;
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for (int64_t value : values) {
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if (!runs.empty() && runs[runs.size() - 2] == value) {
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++runs.back();
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continue;
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}
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runs.push_back(value);
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runs.push_back(1);
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}
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if (runs.size() < values.size())
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return runLengthEncoded(runs, values.size());
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StaticIntSequence result;
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result.kind = StaticIntSequenceKind::Dense;
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result.count = values.size();
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result.data.assign(values);
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return result;
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}
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int64_t StaticIntSequence::valueAt(size_t index) const {
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assert(index < count && "static integer sequence index out of range");
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if (kind == StaticIntSequenceKind::Uniform)
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return base;
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if (kind == StaticIntSequenceKind::Affine) {
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int64_t value;
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bool valid = getAffineValue(base, step, index, value);
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assert(valid && "overflowing static affine sequence");
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return value;
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}
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if (kind == StaticIntSequenceKind::Dense)
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return data[index];
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for (size_t run = 0; run < data.size(); run += 2) {
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size_t length = static_cast<size_t>(data[run + 1]);
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if (index < length)
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return data[run];
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index -= length;
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}
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llvm_unreachable("malformed run-length encoded sequence");
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}
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std::optional<size_t> StaticIntSequence::find(int64_t value, size_t begin,
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size_t length) const {
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assert(begin <= count && length <= count - begin
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&& "invalid static integer sequence search");
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if (length == 0)
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return std::nullopt;
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size_t end = begin + length;
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if (kind == StaticIntSequenceKind::Uniform)
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return value == base ? std::optional<size_t>(begin) : std::nullopt;
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if (kind == StaticIntSequenceKind::Affine) {
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int64_t delta;
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if (llvm::SubOverflow(value, base, delta) || delta % step != 0)
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return std::nullopt;
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int64_t index = delta / step;
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return index >= static_cast<int64_t>(begin)
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&& index < static_cast<int64_t>(end)
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? std::optional<size_t>(index)
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: std::nullopt;
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}
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if (kind == StaticIntSequenceKind::Dense) {
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ArrayRef<int64_t> selected = ArrayRef(data).slice(begin, length);
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auto found = llvm::find(selected, value);
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return found == selected.end()
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? std::nullopt
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: std::optional<size_t>(begin + (found - selected.begin()));
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}
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size_t runBegin = 0;
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for (size_t run = 0; run < data.size(); run += 2) {
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size_t runEnd = runBegin + static_cast<size_t>(data[run + 1]);
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if (runEnd > begin && runBegin < end && data[run] == value)
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return std::max(begin, runBegin);
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if (runBegin >= end)
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break;
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runBegin = runEnd;
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}
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return std::nullopt;
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}
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StaticIntSequence StaticIntSequence::slice(size_t begin, size_t length) const {
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assert(length != 0 && begin <= count - length && "invalid sequence slice");
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if (kind == StaticIntSequenceKind::Uniform)
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return uniform(base, length);
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if (kind == StaticIntSequenceKind::Affine)
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return affine(valueAt(begin), step, length);
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if (kind == StaticIntSequenceKind::Dense)
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return fromValues(ArrayRef(data).slice(begin, length));
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SmallVector<int64_t> runs;
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size_t end = begin + length;
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forEachEqualRun([&](int64_t value, size_t runBegin, size_t runCount) {
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size_t selectedBegin = std::max(begin, runBegin);
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size_t selectedEnd = std::min(end, runBegin + runCount);
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if (selectedBegin >= selectedEnd)
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return;
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if (!runs.empty() && runs[runs.size() - 2] == value)
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runs.back() += selectedEnd - selectedBegin;
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else {
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runs.push_back(value);
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runs.push_back(selectedEnd - selectedBegin);
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}
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});
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if (runs.size() == 2)
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return uniform(runs.front(), length);
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if (runs.size() < length)
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return runLengthEncoded(runs, length);
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SmallVector<int64_t> values;
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for (size_t run = 0; run < runs.size(); run += 2)
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values.append(runs[run + 1], runs[run]);
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return fromValues(values);
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}
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StaticIntSequence StaticIntSequence::remap(ArrayRef<unsigned> indices) const {
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assert(!indices.empty() && "empty static integer sequence remap");
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SmallVector<int64_t> values;
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values.reserve(indices.size());
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for (unsigned index : indices)
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values.push_back(valueAt(index));
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return fromValues(values);
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}
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bool StaticIntSequence::operator==(const StaticIntSequence& other) const {
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return kind == other.kind && count == other.count && base == other.base
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&& step == other.step && data == other.data;
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}
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llvm::hash_code StaticIntSequence::hash() const {
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return llvm::hash_combine(kind, count, base, step,
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llvm::hash_combine_range(data.begin(), data.end()));
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}
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void StaticIntSequence::forEachEqualRun(
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llvm::function_ref<void(int64_t, size_t, size_t)> callback) const {
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if (kind == StaticIntSequenceKind::Uniform) {
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callback(base, 0, count);
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return;
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}
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if (kind == StaticIntSequenceKind::RunLengthEncoded) {
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size_t begin = 0;
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for (size_t run = 0; run < data.size(); run += 2) {
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size_t runCount = static_cast<size_t>(data[run + 1]);
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callback(data[run], begin, runCount);
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begin += runCount;
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}
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return;
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}
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size_t begin = 0;
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while (begin < count) {
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int64_t value = valueAt(begin);
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size_t end = begin + 1;
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while (end < count && valueAt(end) == value)
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++end;
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callback(value, begin, end - begin);
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begin = end;
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}
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}
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void StaticIntSequenceChain::append(const StaticIntSequence &sequence,
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size_t begin, size_t length) {
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assert(length != 0 && begin <= sequence.size() - length
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&& "invalid static integer sequence chain slice");
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if (!slices.empty()) {
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StaticIntSequenceSlice &last = slices.back();
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if (last.sequence == &sequence && last.begin + last.count == begin) {
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last.count += length;
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count += length;
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return;
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}
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auto affinePart = [](const StaticIntSequenceSlice &slice,
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int64_t &base, int64_t &step) {
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base = slice.sequence->valueAt(slice.begin);
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if (slice.count == 1) {
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step = 0;
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return true;
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}
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return !llvm::SubOverflow(slice.sequence->valueAt(slice.begin + 1),
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base, step)
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&& (slice.sequence->kind == StaticIntSequenceKind::Uniform
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|| slice.sequence->kind == StaticIntSequenceKind::Affine);
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};
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StaticIntSequenceSlice next {&sequence, begin, length};
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int64_t leftBase, leftStep, rightBase, rightStep, expected;
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if (affinePart(last, leftBase, leftStep)
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&& affinePart(next, rightBase, rightStep)
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&& (last.count == 1 || length == 1 || leftStep == rightStep)) {
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int64_t step = last.count == 1 ? rightStep : leftStep;
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if (getAffineValue(leftBase, step, last.count, expected)
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&& expected == rightBase) {
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owned.push_back(std::make_unique<StaticIntSequence>(
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StaticIntSequence::affine(leftBase, step, last.count + length)));
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last = {owned.back().get(), 0, last.count + length};
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count += length;
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return;
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}
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}
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}
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slices.push_back({&sequence, begin, length});
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count += length;
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}
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void StaticIntSequenceChain::append(StaticIntSequence sequence) {
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size_t length = sequence.size();
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owned.push_back(std::make_unique<StaticIntSequence>(std::move(sequence)));
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append(*owned.back(), 0, length);
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}
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int64_t StaticIntSequenceChain::valueAt(size_t index) const {
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assert(index < count && "static integer sequence chain index out of range");
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for (const StaticIntSequenceSlice &slice : slices) {
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if (index < slice.count)
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return slice.sequence->valueAt(slice.begin + index);
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index -= slice.count;
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}
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llvm_unreachable("malformed static integer sequence chain");
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}
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void StaticIntSequenceChain::forEachSegment(llvm::function_ref<void(
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const StaticIntSequence &, size_t, size_t)> callback) const {
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for (const StaticIntSequenceSlice &slice : slices)
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callback(*slice.sequence, slice.begin, slice.count);
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}
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void StaticIntSequenceChain::forEachEqualRun(
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llvm::function_ref<void(int64_t, size_t, size_t)> callback) const {
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std::optional<int64_t> pendingValue;
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size_t pendingBegin = 0, pendingCount = 0, chainBegin = 0;
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auto flush = [&] {
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if (pendingValue)
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callback(*pendingValue, pendingBegin, pendingCount);
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};
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for (const StaticIntSequenceSlice &slice : slices) {
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size_t sliceEnd = slice.begin + slice.count;
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slice.sequence->forEachEqualRun(
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[&](int64_t value, size_t runBegin, size_t runCount) {
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size_t begin = std::max(slice.begin, runBegin);
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size_t end = std::min(sliceEnd, runBegin + runCount);
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if (begin >= end)
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return;
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size_t selectedCount = end - begin;
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size_t globalBegin = chainBegin + begin - slice.begin;
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if (pendingValue && *pendingValue == value
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&& pendingBegin + pendingCount == globalBegin) {
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pendingCount += selectedCount;
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return;
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}
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flush();
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pendingValue = value;
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pendingBegin = globalBegin;
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pendingCount = selectedCount;
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});
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chainBegin += slice.count;
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}
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flush();
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}
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StaticIntSequence StaticIntSequenceChain::canonicalize() const {
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assert(count != 0 && "empty static integer sequence chain");
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int64_t first = valueAt(0);
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bool uniform = true;
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forEachEqualRun([&](int64_t value, size_t, size_t) {
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uniform &= value == first;
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});
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if (uniform)
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return StaticIntSequence::uniform(first, count);
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int64_t step = 0, previous = first;
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bool affine = true, haveStep = false;
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size_t position = 0;
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forEachSegment([&](const StaticIntSequence &sequence, size_t begin,
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size_t length) {
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if (!affine)
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return;
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for (size_t index = 0; index < length; ++index) {
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int64_t value = sequence.valueAt(begin + index);
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if (position++ == 0) {
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previous = value;
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continue;
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}
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if (!haveStep) {
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affine = !llvm::SubOverflow(value, previous, step);
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haveStep = true;
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} else if (haveStep) {
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int64_t difference;
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affine = !llvm::SubOverflow(value, previous, difference)
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&& difference == step;
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}
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previous = value;
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||||
if (!affine)
|
||||
break;
|
||||
}
|
||||
});
|
||||
if (affine && haveStep)
|
||||
return StaticIntSequence::affine(first, step, count);
|
||||
|
||||
SmallVector<int64_t> runs;
|
||||
forEachEqualRun([&](int64_t value, size_t, size_t runCount) {
|
||||
runs.push_back(value);
|
||||
runs.push_back(runCount);
|
||||
});
|
||||
if (runs.size() < count)
|
||||
return StaticIntSequence::runLengthEncoded(runs, count);
|
||||
SmallVector<int64_t> values;
|
||||
values.reserve(count);
|
||||
for (size_t run = 0; run < runs.size(); run += 2)
|
||||
values.append(runs[run + 1], runs[run]);
|
||||
return StaticIntSequence::fromValues(values);
|
||||
}
|
||||
|
||||
int64_t StaticIntSequenceChainCursor::value() const {
|
||||
assert(!done() && "static integer sequence chain cursor is done");
|
||||
const StaticIntSequenceSlice ¤t = chain.slices[slice];
|
||||
return current.sequence->valueAt(current.begin + offset);
|
||||
}
|
||||
|
||||
void StaticIntSequenceChainCursor::advance() {
|
||||
assert(!done() && "static integer sequence chain cursor is done");
|
||||
if (++offset != chain.slices[slice].count)
|
||||
return;
|
||||
offset = 0;
|
||||
++slice;
|
||||
}
|
||||
|
||||
void setStaticIntSequenceAttr(Operation *op, StringRef name,
|
||||
const StaticIntSequence &sequence,
|
||||
size_t logicalCount) {
|
||||
assert(sequence.size() == logicalCount && logicalCount != 0
|
||||
&& "invalid static integer metadata count");
|
||||
SmallVector<int64_t> values;
|
||||
StringRef encoding;
|
||||
switch (sequence.kind) {
|
||||
case StaticIntSequenceKind::Uniform:
|
||||
encoding = "uniform";
|
||||
values.push_back(sequence.base);
|
||||
break;
|
||||
case StaticIntSequenceKind::Affine:
|
||||
encoding = "affine";
|
||||
values = {sequence.base, sequence.step};
|
||||
break;
|
||||
case StaticIntSequenceKind::RunLengthEncoded:
|
||||
encoding = "rle";
|
||||
values = sequence.data;
|
||||
break;
|
||||
case StaticIntSequenceKind::Dense:
|
||||
encoding = "dense";
|
||||
values = sequence.data;
|
||||
break;
|
||||
}
|
||||
OpBuilder builder(op);
|
||||
auto type = RankedTensorType::get(
|
||||
{static_cast<int64_t>(values.size())}, builder.getI64Type());
|
||||
op->setAttr(name, DenseIntElementsAttr::get(type, values));
|
||||
if (sequence.kind != StaticIntSequenceKind::Dense)
|
||||
op->setAttr((name + "_encoding").str(), builder.getStringAttr(encoding));
|
||||
}
|
||||
|
||||
FailureOr<StaticIntSequence> getStaticIntSequenceAttr(
|
||||
Operation *op, StringRef name, size_t logicalCount) {
|
||||
if (logicalCount == 0)
|
||||
return op->emitOpError() << "has zero logical count for " << name,
|
||||
failure();
|
||||
auto values = getI64Values(op, name);
|
||||
if (failed(values))
|
||||
return failure();
|
||||
auto encoding = op->getAttrOfType<StringAttr>((name + "_encoding").str());
|
||||
if (!encoding) {
|
||||
if (values->size() != logicalCount)
|
||||
return op->emitOpError() << "has invalid dense " << name << " count",
|
||||
failure();
|
||||
return StaticIntSequence::fromValues(*values);
|
||||
}
|
||||
if (encoding.getValue() == "uniform") {
|
||||
if (values->size() != 1)
|
||||
return op->emitOpError() << "has invalid uniform " << name,
|
||||
failure();
|
||||
return StaticIntSequence::uniform(values->front(), logicalCount);
|
||||
}
|
||||
if (encoding.getValue() == "affine") {
|
||||
int64_t last;
|
||||
if (values->size() != 2
|
||||
|| !getAffineValue((*values)[0], (*values)[1], logicalCount - 1, last))
|
||||
return op->emitOpError() << "has invalid affine " << name,
|
||||
failure();
|
||||
return StaticIntSequence::affine((*values)[0], (*values)[1], logicalCount);
|
||||
}
|
||||
if (encoding.getValue() == "rle") {
|
||||
size_t count = 0;
|
||||
if (values->empty() || values->size() % 2 != 0)
|
||||
return op->emitOpError() << "has invalid RLE " << name, failure();
|
||||
for (size_t index = 1; index < values->size(); index += 2) {
|
||||
if ((*values)[index] <= 0
|
||||
|| static_cast<uint64_t>((*values)[index]) > logicalCount - count)
|
||||
return op->emitOpError() << "has invalid RLE " << name, failure();
|
||||
count += (*values)[index];
|
||||
}
|
||||
if (count != logicalCount)
|
||||
return op->emitOpError() << "has mismatched RLE " << name << " count",
|
||||
failure();
|
||||
return StaticIntSequence::runLengthEncoded(*values, count);
|
||||
}
|
||||
if (encoding.getValue() == "dense") {
|
||||
if (values->size() != logicalCount)
|
||||
return op->emitOpError() << "has invalid dense " << name << " count",
|
||||
failure();
|
||||
return StaticIntSequence::fromValues(*values);
|
||||
}
|
||||
return op->emitOpError() << "has unknown " << name << " encoding",
|
||||
failure();
|
||||
}
|
||||
|
||||
Value emitStaticIntLookup(const StaticIntSequence& sequence, Value position,
|
||||
Operation* constantAnchor,
|
||||
ConstantPool& constants, OpBuilder& builder,
|
||||
Location loc) {
|
||||
if (sequence.getKind() == StaticIntSequenceKind::Uniform)
|
||||
return constants.getIndex(sequence.valueAt(0));
|
||||
if (sequence.getKind() == StaticIntSequenceKind::Affine) {
|
||||
Value scaled = affineMulConst(builder, loc, position,
|
||||
sequence.valueAt(1) - sequence.valueAt(0),
|
||||
constantAnchor);
|
||||
return affineAddConst(builder, loc, scaled, sequence.valueAt(0),
|
||||
constantAnchor);
|
||||
}
|
||||
SmallVector<int64_t> values;
|
||||
values.reserve(sequence.size());
|
||||
sequence.forEachEqualRun([&](int64_t value, size_t, size_t count) {
|
||||
values.append(count, value);
|
||||
});
|
||||
auto type = RankedTensorType::get(
|
||||
{static_cast<int64_t>(values.size())}, builder.getI64Type());
|
||||
Value table = constants.get(type,
|
||||
DenseElementsAttr::get(type, ArrayRef<int64_t>(values)));
|
||||
Value selected = tensor::ExtractOp::create(
|
||||
builder, loc, table, ValueRange {position});
|
||||
return arith::IndexCastOp::create(
|
||||
builder, loc, builder.getIndexType(), selected);
|
||||
}
|
||||
|
||||
} // namespace onnx_mlir
|
||||
@@ -0,0 +1,117 @@
|
||||
#pragma once
|
||||
|
||||
#include "mlir/IR/Builders.h"
|
||||
|
||||
#include "llvm/ADT/ArrayRef.h"
|
||||
#include "llvm/ADT/FunctionExtras.h"
|
||||
#include "llvm/ADT/Hashing.h"
|
||||
#include "llvm/ADT/SmallVector.h"
|
||||
#include "llvm/ADT/StringRef.h"
|
||||
|
||||
#include <cstddef>
|
||||
#include <cstdint>
|
||||
#include <memory>
|
||||
#include <optional>
|
||||
|
||||
namespace onnx_mlir {
|
||||
|
||||
class ConstantPool;
|
||||
|
||||
enum class StaticIntSequenceKind {
|
||||
Uniform,
|
||||
Affine,
|
||||
RunLengthEncoded,
|
||||
Dense
|
||||
};
|
||||
|
||||
class StaticIntSequence {
|
||||
public:
|
||||
static StaticIntSequence fromValues(llvm::ArrayRef<int64_t> values);
|
||||
static StaticIntSequence uniform(int64_t value, size_t count);
|
||||
static StaticIntSequence affine(int64_t base, int64_t step, size_t count);
|
||||
|
||||
size_t size() const { return count; }
|
||||
int64_t valueAt(size_t index) const;
|
||||
std::optional<size_t> find(int64_t value, size_t begin, size_t length) const;
|
||||
StaticIntSequence slice(size_t begin, size_t count) const;
|
||||
StaticIntSequence remap(llvm::ArrayRef<unsigned> indices) const;
|
||||
StaticIntSequenceKind getKind() const { return kind; }
|
||||
|
||||
bool operator==(const StaticIntSequence& other) const;
|
||||
llvm::hash_code hash() const;
|
||||
|
||||
void forEachEqualRun(
|
||||
llvm::function_ref<void(int64_t, size_t, size_t)> callback) const;
|
||||
|
||||
private:
|
||||
friend class StaticIntSequenceChain;
|
||||
friend void setStaticIntSequenceAttr(mlir::Operation *, llvm::StringRef,
|
||||
const StaticIntSequence &, size_t);
|
||||
friend mlir::FailureOr<StaticIntSequence>
|
||||
getStaticIntSequenceAttr(mlir::Operation *, llvm::StringRef, size_t);
|
||||
|
||||
static StaticIntSequence runLengthEncoded(
|
||||
llvm::ArrayRef<int64_t> runs, size_t count);
|
||||
StaticIntSequenceKind kind = StaticIntSequenceKind::Dense;
|
||||
size_t count = 0;
|
||||
int64_t base = 0;
|
||||
int64_t step = 0;
|
||||
llvm::SmallVector<int64_t> data;
|
||||
};
|
||||
|
||||
struct StaticIntSequenceSlice {
|
||||
const StaticIntSequence *sequence = nullptr;
|
||||
size_t begin = 0;
|
||||
size_t count = 0;
|
||||
};
|
||||
|
||||
class StaticIntSequenceChain {
|
||||
public:
|
||||
void append(const StaticIntSequence &sequence, size_t begin, size_t count);
|
||||
void append(StaticIntSequence sequence);
|
||||
size_t size() const { return count; }
|
||||
int64_t valueAt(size_t index) const;
|
||||
void forEachSegment(llvm::function_ref<void(
|
||||
const StaticIntSequence &, size_t, size_t)> callback) const;
|
||||
void forEachEqualRun(
|
||||
llvm::function_ref<void(int64_t, size_t, size_t)> callback) const;
|
||||
StaticIntSequence canonicalize() const;
|
||||
|
||||
private:
|
||||
friend class StaticIntSequenceChainCursor;
|
||||
llvm::SmallVector<StaticIntSequenceSlice> slices;
|
||||
llvm::SmallVector<std::unique_ptr<StaticIntSequence>> owned;
|
||||
size_t count = 0;
|
||||
};
|
||||
|
||||
class StaticIntSequenceChainCursor {
|
||||
public:
|
||||
explicit StaticIntSequenceChainCursor(const StaticIntSequenceChain &chain)
|
||||
: chain(chain) {}
|
||||
|
||||
bool done() const { return slice == chain.slices.size(); }
|
||||
int64_t value() const;
|
||||
void advance();
|
||||
|
||||
private:
|
||||
const StaticIntSequenceChain &chain;
|
||||
size_t slice = 0;
|
||||
size_t offset = 0;
|
||||
};
|
||||
|
||||
void setStaticIntSequenceAttr(mlir::Operation *op, llvm::StringRef name,
|
||||
const StaticIntSequence &sequence,
|
||||
size_t logicalCount);
|
||||
|
||||
mlir::FailureOr<StaticIntSequence>
|
||||
getStaticIntSequenceAttr(mlir::Operation *op, llvm::StringRef name,
|
||||
size_t logicalCount);
|
||||
|
||||
mlir::Value emitStaticIntLookup(const StaticIntSequence& sequence,
|
||||
mlir::Value position,
|
||||
mlir::Operation* constantAnchor,
|
||||
ConstantPool& constants,
|
||||
mlir::OpBuilder& builder,
|
||||
mlir::Location loc);
|
||||
|
||||
} // namespace onnx_mlir
|
||||
@@ -68,6 +68,23 @@ Value insertStaticSlice(
|
||||
.getResult();
|
||||
}
|
||||
|
||||
Value extractMixedSliceOrIdentity(RewriterBase &rewriter,
|
||||
Location loc,
|
||||
Value source,
|
||||
RankedTensorType resultType,
|
||||
const MixedSliceGeometry &geometry) {
|
||||
return extractStaticSliceOrIdentity(rewriter, loc, source, resultType,
|
||||
geometry.offsets, geometry.sizes,
|
||||
geometry.strides);
|
||||
}
|
||||
|
||||
Value insertMixedSlice(OpBuilder &builder, Location loc, Value source,
|
||||
Value dest, const MixedSliceGeometry &geometry) {
|
||||
return tensor::InsertSliceOp::create(builder, loc, source, dest,
|
||||
geometry.offsets, geometry.sizes,
|
||||
geometry.strides);
|
||||
}
|
||||
|
||||
FailureOr<Value> addLeadingUnitTensorDimension(OpBuilder& builder, Location loc, Value value) {
|
||||
auto type = dyn_cast<RankedTensorType>(value.getType());
|
||||
if (!type || !type.hasStaticShape())
|
||||
|
||||
@@ -8,6 +8,12 @@
|
||||
|
||||
namespace onnx_mlir {
|
||||
|
||||
struct MixedSliceGeometry {
|
||||
llvm::SmallVector<mlir::OpFoldResult> offsets;
|
||||
llvm::SmallVector<mlir::OpFoldResult> sizes;
|
||||
llvm::SmallVector<mlir::OpFoldResult> strides;
|
||||
};
|
||||
|
||||
mlir::Value extractAxisSlice(
|
||||
mlir::PatternRewriter& rewriter, mlir::Location loc, mlir::Value source, int64_t axis, int64_t offset, int64_t size);
|
||||
|
||||
@@ -25,6 +31,18 @@ mlir::Value insertStaticSlice(mlir::PatternRewriter& rewriter,
|
||||
mlir::Value dest,
|
||||
llvm::ArrayRef<mlir::OpFoldResult> offsets);
|
||||
|
||||
mlir::Value extractMixedSliceOrIdentity(mlir::RewriterBase &rewriter,
|
||||
mlir::Location loc,
|
||||
mlir::Value source,
|
||||
mlir::RankedTensorType resultType,
|
||||
const MixedSliceGeometry &geometry);
|
||||
|
||||
mlir::Value insertMixedSlice(mlir::OpBuilder &builder,
|
||||
mlir::Location loc,
|
||||
mlir::Value source,
|
||||
mlir::Value dest,
|
||||
const MixedSliceGeometry &geometry);
|
||||
|
||||
mlir::FailureOr<mlir::Value>
|
||||
addLeadingUnitTensorDimension(mlir::OpBuilder& builder, mlir::Location loc, mlir::Value value);
|
||||
|
||||
|
||||
Reference in New Issue
Block a user