-
Notifications
You must be signed in to change notification settings - Fork 333
[Bugfix] Resolve mixed stride dtype issue (inconsistent int32/int64 values) #1119
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
Merged
Changes from all commits
Commits
Show all changes
4 commits
Select commit
Hold shift + click to select a range
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,376 @@ | ||
| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, | ||
| * software distributed under the License is distributed on an | ||
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| * KIND, either express or implied. See the License for the | ||
| * specific language governing permissions and limitations | ||
| * under the License. | ||
| */ | ||
|
|
||
| /*! | ||
| * \file arg_binder.cc | ||
| * \brief Helper utility to match and bind arguments. | ||
| */ | ||
| #include "arg_binder.h" | ||
|
|
||
| #include <tvm/runtime/device_api.h> | ||
| #include <tvm/tir/builtin.h> | ||
| #include <tvm/tir/expr.h> | ||
| #include <tvm/tir/op.h> | ||
|
|
||
| #include <sstream> | ||
|
|
||
| #include "tir/transforms/ir_utils.h" | ||
|
|
||
| namespace tvm { | ||
| namespace tl { | ||
|
|
||
| using namespace tir; | ||
|
|
||
| void BinderAddAssert(arith::Analyzer *ana, PrimExpr cond, | ||
| const std::string &arg_name, std::vector<Stmt> *asserts) { | ||
| PrimExpr scond = ana->Simplify(cond); | ||
| if (is_zero(scond)) { | ||
| LOG(FATAL) << "Bind have an unmet assertion: " << cond << ", " | ||
| << " on argument " << arg_name; | ||
| } | ||
| if (!is_one(scond)) { | ||
| std::ostringstream os; | ||
| os << "Argument " << arg_name << " has an unsatisfied constraint: " << cond; | ||
| asserts->emplace_back(AssertStmt(scond, StringImm(os.str()), Evaluate(0))); | ||
| } | ||
| } | ||
|
|
||
| bool ArgBinder::Bind_(const PrimExpr &arg, const PrimExpr &value, | ||
| const std::string &arg_name, bool with_lets) { | ||
| ICHECK_EQ(arg.dtype(), value.dtype()) << "arg " << arg << " value " << value; | ||
| if (const VarNode *v = arg.as<VarNode>()) { | ||
| auto it = def_map_->find(v); | ||
| if (it == def_map_->end()) { | ||
| Var v_arg = Downcast<Var>(arg); | ||
| defs_.emplace_back(v_arg); | ||
| if (with_lets) { | ||
| (*def_map_)[v] = arg; | ||
| init_nest_.emplace_back(LetStmt(v_arg, value, Evaluate(0))); | ||
| } else { | ||
| (*def_map_)[v] = value; | ||
| } | ||
| return true; | ||
| } else { | ||
| BinderAddAssert(&analyzer_, it->second == value, arg_name, &asserts_); | ||
| } | ||
| } else { | ||
| BinderAddAssert(&analyzer_, arg == value, arg_name, &asserts_); | ||
| } | ||
| return false; | ||
| } | ||
|
|
||
| void ArgBinder::Bind(const PrimExpr &arg, const PrimExpr &value, | ||
| const std::string &arg_name, bool with_let) { | ||
| Bind_(arg, value, arg_name, with_let); | ||
| } | ||
|
|
||
| void ArgBinder::BindArray(const Array<PrimExpr> &arg, | ||
| const Array<PrimExpr> &value, | ||
| const std::string &arg_name) { | ||
| ICHECK_EQ(arg.size(), value.size()) | ||
| << "Argument " << arg_name << " array size mismatch"; | ||
| for (size_t i = 0; i < arg.size(); ++i) { | ||
| std::ostringstream os; | ||
| os << arg_name << "[" << i << "]"; | ||
| this->Bind(arg[i], value[i], os.str()); | ||
| } | ||
| } | ||
|
|
||
| void ArgBinder::BindBuffer(const Buffer &arg, const Buffer &value, | ||
| const std::string &arg_name, bool fuzzy_match) { | ||
| ICHECK_EQ(arg.scope(), value.scope()) | ||
| << "Argument " << arg_name << " Buffer bind scope mismatch"; | ||
| ICHECK_EQ(arg->dtype, value->dtype) | ||
| << "Argument " << arg_name << " Buffer bind data type mismatch"; | ||
| if (value->data_alignment % arg->data_alignment != 0) { | ||
| LOG(WARNING) << "Trying to bind buffer to another one with lower alignment " | ||
| "requirement " | ||
| << " required_alignment=" << arg->data_alignment | ||
| << ", provided_alignment=" << value->data_alignment; | ||
| } | ||
|
|
||
| if (value->elem_offset.defined()) { | ||
| // bind pointer and offset. | ||
| if (is_zero(arg->elem_offset)) { | ||
| ICHECK(is_zero(value->elem_offset)) | ||
| << "Trying to bind a Buffer with offset into one without offset " | ||
| << " required elem_offset=" << arg->elem_offset | ||
| << ", provided elem_offset=" << value->elem_offset; | ||
| } | ||
|
|
||
| this->Bind(arg->data, value->data, arg_name + ".data"); | ||
| if (Bind_(arg->elem_offset, value->elem_offset, arg_name + ".elem_offset", | ||
| false)) { | ||
| if (arg->offset_factor > 1) { | ||
| PrimExpr offset = value->elem_offset; | ||
| PrimExpr factor = make_const(offset.dtype(), arg->offset_factor); | ||
| PrimExpr zero = make_zero(offset.dtype()); | ||
| BinderAddAssert(&analyzer_, truncmod(offset, factor) == zero, | ||
| arg_name + ".elem_offset", &asserts_); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| if (arg->shape.size() < value->shape.size()) { | ||
| ICHECK(fuzzy_match) << "Argument " << arg_name << " size mismatch"; | ||
| size_t diff = value->shape.size() - arg->shape.size(); | ||
| for (size_t i = 0; i < diff; ++i) { | ||
| ICHECK(is_one(analyzer_.Simplify(value->shape[i]))) | ||
| << "Argument " << arg_name << " shape mismatch" << arg->shape | ||
| << " vs " << value->shape; | ||
| } | ||
| for (size_t i = 0; i < arg->shape.size(); ++i) { | ||
| std::ostringstream os; | ||
| os << arg_name << ".shape[" << i << "]"; | ||
| this->Bind(arg->shape[i], value->shape[i + diff], os.str()); | ||
| } | ||
| if (!value->strides.empty()) { | ||
| ICHECK_EQ(arg->strides.size(), arg->shape.size()); | ||
| ICHECK_EQ(value->strides.size(), value->shape.size()); | ||
| for (size_t i = 0; i < arg->strides.size(); ++i) { | ||
| std::ostringstream os; | ||
| os << arg_name << ".strides[" << i << "]"; | ||
| this->Bind(arg->strides[i], value->strides[i + diff], os.str()); | ||
| } | ||
| } | ||
| } else { | ||
| this->BindArray(arg->shape, value->shape, arg_name + ".shape"); | ||
| this->BindArray(arg->strides, value->strides, arg_name + ".strides"); | ||
| } | ||
| } | ||
|
|
||
| inline PrimExpr TVMArrayGet(DataType t, Var arr, | ||
| builtin::TVMStructFieldKind kind) { | ||
| return TVMStructGet(t, arr, 0, kind); | ||
| } | ||
|
|
||
| void ArgBinder::BindDLTensor(const Buffer &buffer, const PrimExpr &device_type, | ||
| const PrimExpr &device_id, const Var &handle, | ||
| const std::string &arg_name) { | ||
| const DataType tvm_shape_type = DataType::ShapeIndex(); | ||
| const DataType tvm_ndim_type = DataType::Int(32); | ||
| const Stmt nop = Evaluate(0); | ||
|
|
||
| init_nest_.emplace_back(AssertStmt( | ||
| !Call(DataType::Bool(), builtin::isnullptr(), {handle}), | ||
| StringImm(arg_name + " is expected to have non-NULL DLTensor* pointer"), | ||
| nop)); | ||
|
|
||
| // dimension checks | ||
| PrimExpr v_ndim = TVMArrayGet(tvm_ndim_type, handle, builtin::kArrNDim); | ||
|
|
||
| // Helper functions for shape/stride name formatting | ||
| auto shape_handle_name = [&]() { return arg_name + ".shape"; }; | ||
| auto stride_handle_name = [&]() { return arg_name + ".strides"; }; | ||
| auto array_element_name = [&](const std::string &arr_name, size_t k) { | ||
| std::stringstream ss; | ||
| ss << arr_name << '[' << k << ']'; | ||
| return ss.str(); | ||
| }; | ||
| auto shape_element_name = [&](size_t k) { | ||
| return array_element_name(shape_handle_name(), k); | ||
| }; | ||
| auto stride_element_name = [&](size_t k) { | ||
| return array_element_name(stride_handle_name(), k); | ||
| }; | ||
|
|
||
| PrimExpr a_ndim = | ||
| make_const(tvm_ndim_type, static_cast<int64_t>(buffer->shape.size())); | ||
| std::ostringstream ndim_err_msg; | ||
| ndim_err_msg << arg_name << ".ndim is expected to equal " | ||
| << buffer->shape.size(); | ||
| auto msg = StringImm(ndim_err_msg.str()); | ||
| init_nest_.emplace_back(AssertStmt(a_ndim == v_ndim, msg, nop)); | ||
| // type checks | ||
| std::ostringstream type_err_msg; | ||
| type_err_msg << arg_name << ".dtype is expected to be " << buffer->dtype; | ||
| PrimExpr cond = | ||
| (TVMArrayGet(DataType::UInt(8), handle, builtin::kArrTypeCode) == | ||
| IntImm(DataType::UInt(8), buffer->dtype.code()) && | ||
| TVMArrayGet(DataType::UInt(8), handle, builtin::kArrTypeBits) == | ||
| IntImm(DataType::UInt(8), buffer->dtype.bits()) && | ||
| TVMArrayGet(DataType::UInt(16), handle, builtin::kArrTypeLanes) == | ||
| IntImm(DataType::UInt(16), buffer->dtype.lanes())); | ||
| if (!(buffer->dtype == DataType::Int(1) || | ||
| buffer->dtype == DataType::Int(4) || | ||
| buffer->dtype == DataType::UInt(4))) { | ||
| auto type_msg = StringImm(type_err_msg.str()); | ||
| asserts_.emplace_back(AssertStmt(cond, type_msg, nop)); | ||
| } | ||
|
|
||
| // shape field | ||
| Buffer buf_shape = | ||
| decl_buffer({IntImm(DataType::Int(32), buffer->shape.size())}, | ||
| tvm_shape_type, shape_handle_name()); | ||
| Var v_shape(shape_handle_name(), DataType::Handle()); | ||
| def_handle_dtype_.Set(v_shape, make_const(tvm_shape_type, 0)); | ||
| init_nest_.emplace_back(LetStmt( | ||
| buf_shape->data, | ||
| TVMArrayGet(DataType::Handle(), handle, builtin::kArrShape), nop)); | ||
| init_nest_.emplace_back(DeclBuffer(buf_shape, nop)); | ||
| for (size_t k = 0; k < buffer->shape.size(); ++k) { | ||
coderabbitai[bot] marked this conversation as resolved.
Show resolved
Hide resolved
|
||
| if (buffer->dtype == DataType::Int(4) || | ||
| buffer->dtype == DataType::UInt(4) || | ||
| buffer->dtype == DataType::Int(1)) { | ||
| break; | ||
| } | ||
| Bind_(buffer->shape[k], | ||
| cast(buffer->shape[k].dtype(), | ||
| BufferLoad(buf_shape, {IntImm(DataType::Int(32), k)})), | ||
| shape_element_name(k), true); | ||
| } | ||
| // strides field | ||
| Buffer buf_strides = | ||
| decl_buffer({IntImm(DataType::Int(32), buffer->strides.size())}, | ||
| tvm_shape_type, arg_name + ".strides"); | ||
| def_handle_dtype_.Set(buf_strides->data, tir::TypeAnnotation(tvm_shape_type)); | ||
| init_nest_.emplace_back(LetStmt( | ||
| buf_strides->data, | ||
| TVMArrayGet(DataType::Handle(), handle, builtin::kArrStrides), nop)); | ||
| init_nest_.emplace_back(DeclBuffer(buf_strides, nop)); | ||
| PrimExpr v_strides_is_null = | ||
| Call(DataType::Bool(1), builtin::isnullptr(), {buf_strides->data}); | ||
| if (buffer->strides.empty()) { | ||
| // Assert the buffer is compact | ||
| DataType stype = buffer->DefaultIndexType(); | ||
| PrimExpr expect_stride = make_const(stype, 1); | ||
| Array<PrimExpr> conds; | ||
| for (size_t i = buffer->shape.size(); i != 0; --i) { | ||
| size_t k = i - 1; | ||
| PrimExpr svalue = | ||
| cast(stype, BufferLoad(buf_strides, {IntImm(DataType::Int(32), k)})); | ||
| conds.push_back(buffer->shape[k] == 1 || expect_stride == svalue); | ||
| expect_stride = expect_stride * buffer->shape[k]; | ||
| } | ||
| std::ostringstream stride_err_msg; | ||
| stride_err_msg << stride_handle_name() << ": expected to be compact array"; | ||
| if (!conds.empty()) { | ||
| auto stride_msg = StringImm(stride_err_msg.str()); | ||
| Stmt check = | ||
| AssertStmt(foldl([](PrimExpr a, PrimExpr b, | ||
| Span span) { return logical_and(a, b, span); }, | ||
| const_true(1), conds), | ||
| stride_msg, Evaluate(0)); | ||
| check = IfThenElse(Not(v_strides_is_null), check); | ||
| asserts_.emplace_back(SeqStmt({check, Evaluate(0)})); | ||
| } | ||
| } else if (buffer->buffer_type == kAutoBroadcast) { | ||
| PrimExpr stride_from_shape = make_const(buffer->DefaultIndexType(), 1); | ||
| for (size_t i = buffer->shape.size(); i != 0; --i) { | ||
| size_t k = i - 1; | ||
| DataType stride_dtype = buffer->strides[k].dtype(); | ||
| PrimExpr explicit_stride = | ||
| cast(stride_dtype, | ||
| BufferLoad(buf_strides, {IntImm(DataType::Int(32), k)})); | ||
| PrimExpr stride_from_shape_cast = cast(stride_dtype, stride_from_shape); | ||
| PrimExpr value = tvm::if_then_else( | ||
| v_strides_is_null, stride_from_shape_cast, explicit_stride); | ||
| value = tvm::if_then_else(buffer->shape[k] == 1, make_zero(stride_dtype), | ||
| value); | ||
| Bind_(buffer->strides[k], value, stride_element_name(k), true); | ||
| PrimExpr shape_extent = cast(stride_dtype, buffer->shape[k]); | ||
| stride_from_shape = | ||
| analyzer_.Simplify(stride_from_shape_cast * shape_extent); | ||
| } | ||
| } else { | ||
| PrimExpr stride_from_shape = make_const(buffer->DefaultIndexType(), 1); | ||
|
|
||
| for (int k = buffer->strides.size() - 1; k >= 0; k--) { | ||
| DataType stride_dtype = buffer->strides[k].dtype(); | ||
| PrimExpr explicit_stride = | ||
| cast(stride_dtype, | ||
| BufferLoad(buf_strides, {IntImm(DataType::Int(32), k)})); | ||
| PrimExpr shape_stride = cast( | ||
| stride_dtype, BufferLoad(buf_shape, {IntImm(DataType::Int(32), k)})); | ||
| PrimExpr stride_from_shape_cast = cast(stride_dtype, stride_from_shape); | ||
|
|
||
| Bind_(buffer->strides[k], | ||
| tvm::if_then_else(v_strides_is_null, stride_from_shape_cast, | ||
| explicit_stride), | ||
| stride_element_name(k), true); | ||
|
|
||
| stride_from_shape = | ||
| analyzer_.Simplify(stride_from_shape_cast * shape_stride); | ||
| } | ||
| } | ||
| // Byte_offset field. | ||
| int data_bytes = GetVectorBytes(buffer->dtype); | ||
|
|
||
| if (const auto *const_offset = buffer->elem_offset.as<IntImmNode>()) { | ||
| Bind_(make_const(DataType::UInt(64), const_offset->value * data_bytes), | ||
| TVMArrayGet(DataType::UInt(64), handle, builtin::kArrByteOffset), | ||
| arg_name + ".byte_offset", true); | ||
| } else { | ||
| if (Bind_(buffer->elem_offset, | ||
| cast(buffer->elem_offset.dtype(), | ||
| (TVMArrayGet(DataType::UInt(64), handle, | ||
| builtin::kArrByteOffset) / | ||
| make_const(DataType::UInt(64), data_bytes))), | ||
| arg_name + ".elem_offset", true)) { | ||
| if (buffer->offset_factor > 1) { | ||
| PrimExpr offset = buffer->elem_offset; | ||
| PrimExpr factor = make_const(offset.dtype(), buffer->offset_factor); | ||
| PrimExpr zero = make_zero(offset.dtype()); | ||
| BinderAddAssert(&analyzer_, truncmod(offset, factor) == zero, | ||
| arg_name + ".elem_offset", &asserts_); | ||
| } | ||
| } | ||
| } | ||
| // device info. | ||
| Bind_(device_type, | ||
| TVMArrayGet(DataType::Int(32), handle, builtin::kArrDeviceType), | ||
| arg_name + ".device_type", true); | ||
| Bind_(device_id, | ||
| TVMArrayGet(DataType::Int(32), handle, builtin::kArrDeviceId), | ||
| arg_name + ".device_id", true); | ||
|
|
||
| // Data field. Because the validation of the data field may depend | ||
| // on a dynamic size defined by the other DLTensor* parameters, this | ||
| // field must be generated last. | ||
| if (Bind_(buffer->data, | ||
| TVMArrayGet(DataType::Handle(), handle, builtin::kArrData), | ||
| arg_name + ".data", true)) { | ||
| Var vptr(buffer->data); | ||
|
|
||
| // Check if the data pointer is NULL. This check is skipped for | ||
| // size-0 arrays, since CUDA provides a NULL pointer for size-zero | ||
| // allocations. | ||
| auto alloc_size = [&]() -> PrimExpr { | ||
| PrimExpr product = IntImm(buffer->DefaultIndexType(), 1); | ||
| for (const auto &dim : buffer->shape) { | ||
| product *= dim; | ||
| } | ||
| return product; | ||
| }(); | ||
| asserts_.emplace_back(AssertStmt( | ||
| alloc_size == 0 || | ||
| !Call(DataType::Bool(), builtin::isnullptr(), {vptr}), | ||
| StringImm(arg_name + " is expected to have non-NULL data pointer"), | ||
| nop)); | ||
|
|
||
| def_handle_dtype_.Set(vptr, tir::TypeAnnotation(buffer->dtype)); | ||
| // mark alignment of external bufs | ||
| init_nest_.emplace_back( | ||
| AttrStmt(vptr, tir::attr::storage_alignment, | ||
| IntImm(DataType::Int(32), buffer->data_alignment), nop)); | ||
| } | ||
| } | ||
|
|
||
| } // namespace tl | ||
| } // namespace tvm | ||
Oops, something went wrong.
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The new
ArgBinder::BindBufferwarns when the provided buffer’s alignment is smaller than the required one by computingvalue->data_alignment % arg->data_alignment. However,BufferNode::data_alignmentis zero by default when no alignment is requested. If a symbolic buffer without an explicit alignment is bound here (the common case), this expression executes a modulo with a zero divisor and triggers undefined behaviour before any warning is issued. The guard should skip the check whenarg->data_alignmentis zero or treat it as1/“no requirement” to avoid a runtime crash in the binder.Useful? React with 👍 / 👎.