* pnnx: store bool MemoryData attributes as raw int8
Keep bool constants as one byte per element and select MemoryData
load_type=3. Implement the reserved raw int8 ModelBin loading mode and
pad exported bool data to four bytes so subsequent weights stay aligned.
This preserves the byte representation used by the proposed logical ops.
Add regression coverage for scalar and padded bool exports in both fp16
modes, multidimensional MemoryData, raw int8 loading through reference
and copy readers, trailing fp32 weights, and missing padding. Document
the format.
Based on the bool attribute serialization fixes proposed in:
https://github.com/Tencent/ncnn/pull/6956https://github.com/Tencent/ncnn/pull/6866Fixes#6855
* tools: preserve byte MemoryData when optimizing models
Save MemoryData load_type so raw int8 constants retain their byte
representation after ModelWriter saves the model. Skip fusion paths that
interpret MemoryData as float32 when its elements are not four bytes.
This change does not add bool arithmetic support or automatic type
promotion. Byte bool storage is intended for future logical, comparison
and selection operators.
Validated ncnnoptimize save and reload for scalar and one-to-five-element
bool constants in fp32 and fp16 storage modes, preserving byte values
and element size in all 12 cases.
---------
Co-authored-by: ktz03 <2484593937@qq.com>
Co-authored-by: Giulio Corradi <53930027+giuliocorradi@users.noreply.github.com>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
* Harden Net graph loading and metadata validation
Apply count and blob index validation from Tencent/ncnn PRs #6902,
#6916, #6922 and #6949 to both text and binary graph loading. Bound
header counts to 1,000,000 while preserving repeated blob references
and zero-output layers.
Validate text integer tokens and name lengths, shape hint types,
record lengths and extent arithmetic, feature masks, layer type tags,
and one-blob layer connection counts. Guard missing producers during
extraction and handle null custom layer creators.
Own partially loaded layers before reading their connections, honor
registered destroyers on all failure and CPU replacement paths, and
clear stale graph metadata when reloading or rejecting a model.
Add in-memory Net regressions for malformed and truncated inputs, valid
shape layouts, reload isolation, custom layer lifetime and external
inputs, without requiring filesystem access.
Validated with native tests, SqueezeNet inference, ASan/UBSan and
32-bit big-endian PowerPC tests; compile checked Vulkan and reduced
C++03 configurations.
Sources:
https://github.com/Tencent/ncnn/pull/6902https://github.com/Tencent/ncnn/pull/6916https://github.com/Tencent/ncnn/pull/6922https://github.com/Tencent/ncnn/pull/6949
Co-authored-by: kaltsit-10 <kaltsit-10@users.noreply.github.com>
Co-authored-by: beilzx <2069360659@qq.com>
Co-authored-by: ktz03 <2484593937@qq.com>
Add single-file Vulkan pipeline cache save/load support with strict device, driver, shader, and payload validation. Cache compiled SPIR-V per shader hash alongside the driver pipeline cache blob, add focused cache tests, and document the current Vulkan pipeline cache architecture and usage.
Limit Vulkan layer test cache growth with a shared test-only pipeline cache window so repeated test_layer() calls can still exercise cache reuse.
Co-authored-by: futz12 <56149058+futz12@users.noreply.github.com>
Co-authored-by: CLV-Iclucia <89170890+CLV-Iclucia@users.noreply.github.com>
- synchronize the latest English content to the Chinese documentation
- correct spelling errors in the English version of glsl-extention
- Fix spelling 'enable_validation_layer' in src/gpu.cpp
* only supports hann, hamming and all-one window
* inverse spectrogram does not support length parameter
* spectrogram always returns torch.view_as_real(out) as ncnn does not support complex typed mat yet
* inverse spectrogram always accepts torch.view_as_complex(in) as ncnn does not support complex typed mat yet
風的彷徨