issue/634: InfiniCore 支持InfiniLM Llama模型适配 #635
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Signed-off-by: Ceng23333 <[email protected]>
Signed-off-by: Ceng23333 <[email protected]>
Signed-off-by: Ceng23333 <[email protected]>
Signed-off-by: Ceng23333 <[email protected]>
| Runtime *getCpuRuntime(); | ||
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| // Get runtime for a specific device (creates it if it doesn't exist) | ||
| Runtime *getRuntime(Device device); |
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这个之前调试加的接口，后面没用了
wooway777
requested changes
Nov 25, 2025
include/infinicore/nn/rope.hpp
Outdated
| * @brief RoPE algorithm type | ||
| * @brief Frequency generation method for RoPE cache | ||
| */ | ||
| enum class FreqGen { |
| RoPE(size_t head_dim, | ||
| size_t max_seq_len, | ||
| double theta = 10000.0, | ||
| Algo freq_gen = Algo::GPT_J, |
Signed-off-by: Ceng23333 <[email protected]>
PanZezhong1725
requested changes
Nov 25, 2025
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| target("infinicore_c_api") | ||
| set_kind("phony") | ||
| set_kind("shared") |
| std::unique_ptr<MemoryAllocator> device_memory_allocator_; | ||
| std::unique_ptr<MemoryAllocator> pinned_host_memory_allocator_; | ||
| // Mutex to protect stream access for thread safety | ||
| mutable std::mutex stream_mutex_; |
| if (pinned_host_memory_allocator_) { | ||
| pinned_host_memory_allocator_.reset(); | ||
| // Wrap entire destructor in try-catch to prevent exceptions from causing segfaults | ||
| try { |
| } | ||
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| void Runtime::memcpyD2H(void *dst, const void *src, size_t size) { | ||
| SPDLOG_DEBUG("[RUNTIME] memcpyD2H: Called with runtime device: {}", device_.toString()); |
| } | ||
| if (this->device().getType() == src->device().getType()) { | ||
| op::rearrange_(Tensor(const_cast<TensorImpl *>(this)->shared_from_this()), src); | ||
| if (this->device().getType() == src->device().getType() && this->device().getIndex() == src->device().getIndex()) { |
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#634
测例编译
xmake build infinicore-test测例执行
INFINICORE_LOG_LEVEL=info build/linux/x86_64/release/infinicore-test --nvidia --test all