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2021-11-16Geometry Nodes: refactor virtual array systemJacques Lucke
Goals of this refactor: * Simplify creating virtual arrays. * Simplify passing virtual arrays around. * Simplify converting between typed and generic virtual arrays. * Reduce memory allocations. As a quick reminder, a virtual arrays is a data structure that behaves like an array (i.e. it can be accessed using an index). However, it may not actually be stored as array internally. The two most important implementations of virtual arrays are those that correspond to an actual plain array and those that have the same value for every index. However, many more implementations exist for various reasons (interfacing with legacy attributes, unified iterator over all points in multiple splines, ...). With this refactor the core types (`VArray`, `GVArray`, `VMutableArray` and `GVMutableArray`) can be used like "normal values". They typically live on the stack. Before, they were usually inside a `std::unique_ptr`. This makes passing them around much easier. Creation of new virtual arrays is also much simpler now due to some constructors. Memory allocations are reduced by making use of small object optimization inside the core types. Previously, `VArray` was a class with virtual methods that had to be overridden to change the behavior of a the virtual array. Now,`VArray` has a fixed size and has no virtual methods. Instead it contains a `VArrayImpl` that is similar to the old `VArray`. `VArrayImpl` should rarely ever be used directly, unless a new virtual array implementation is added. To support the small object optimization for many `VArrayImpl` classes, a new `blender::Any` type is added. It is similar to `std::any` with two additional features. It has an adjustable inline buffer size and alignment. The inline buffer size of `std::any` can't be relied on and is usually too small for our use case here. Furthermore, `blender::Any` can store additional user-defined type information without increasing the stack size. Differential Revision: https://developer.blender.org/D12986
2021-08-20Functions: add clear method to vector arrayJacques Lucke
2021-06-28Functions: improve CPPTypeJacques Lucke
* Reduce code duplication. * Give methods more standardized names (e.g. `move_to_initialized` -> `move_assign`). * Support wrapping arbitrary C++ types, even those that e.g. are not copyable.
2021-04-17Functions: extend virtual array functionalityJacques Lucke
This adds support for mutable virtual arrays and provides many utilities for creating virtual arrays for various kinds of data. This commit is preparation for D10994.
2021-03-21Functions: refactor virtual array data structuresJacques Lucke
When a function is executed for many elements (e.g. per point) it is often the case that some parameters are different for every element and other parameters are the same (there are some more less common cases). To simplify writing such functions one can use a "virtual array". This is a data structure that has a value for every index, but might not be stored as an actual array internally. Instead, it might be just a single value or is computed on the fly. There are various tradeoffs involved when using this data structure which are mentioned in `BLI_virtual_array.hh`. It is called "virtual", because it uses inheritance and virtual methods. Furthermore, there is a new virtual vector array data structure, which is an array of vectors. Both these types have corresponding generic variants, which can be used when the data type is not known at compile time. This is typically the case when building a somewhat generic execution system. The function system used these virtual data structures before, but now they are more versatile. I've done this refactor in preparation for the attribute processor and other features of geometry nodes. I moved the typed virtual arrays to blenlib, so that they can be used independent of the function system. One open question for me is whether all the generic data structures (and `CPPType`) should be moved to blenlib as well. They are well isolated and don't really contain any business logic. That can be done later if necessary.
2020-08-07Cleanup: use C++ style casts in various placesJacques Lucke
2020-08-07Code Style: use "#pragma once" in source directoryJacques Lucke
This replaces header include guards with `#pragma once`. A couple of include guards are not removed yet (e.g. `__RNA_TYPES_H__`), because they are used in other places. This patch has been generated by P1561 followed by `make format`. Differential Revision: https://developer.blender.org/D8466
2020-07-20Refactor: Update integer type usageJacques Lucke
This updates the usage of integer types in code I wrote according to our new style guides. Major changes: * Use signed instead of unsigned integers in many places. * C++ containers in blenlib use `int64_t` for size and indices now (instead of `uint`). * Hash values for C++ containers are 64 bit wide now (instead of 32 bit). I do hope that I broke no builds, but it is quite likely that some compiler reports slightly different errors. Please let me know when there are any errors. If the fix is small, feel free to commit it yourself. I compiled successfully on linux with gcc and on windows.
2020-07-08Cleanup: remove unnecessary calls to as_spanJacques Lucke
This uses the new implicit conversions and constructors that have been committed in the previous commit. I tested these changes on Linux with gcc and on Windows.
2020-07-03Cleanup: use nested namespacesJacques Lucke
2020-07-03Cleanup: use trailing underscore for non-public data membersJacques Lucke
2020-06-27Cleanup: make it easier to check if a CPPType is a specific compile time typeJacques Lucke
2020-06-22Functions: Various improvements to the spans and generic data structuresJacques Lucke
Most of this code is covered by unit tests.
2020-06-16Functions: Multi FunctionJacques Lucke
This adds the `MultiFunction` type and some smallish utility types that it uses. A `MultiFunction` encapsulates a function that is optimized for throughput by always processing many elements at once. This is an important part of the new particle system, because it allows us to execute user generated node trees for many particles efficiently. Reviewers: brecht Differential Revision: https://developer.blender.org/D8030