Merge branch 'upstream' into concedo_experimental

# Conflicts:
#	.devops/cpu.Dockerfile
#	.devops/cuda-new.Dockerfile
#	.devops/cuda.Dockerfile
#	.devops/intel.Dockerfile
#	.devops/musa.Dockerfile
#	.devops/rocm.Dockerfile
#	.devops/vulkan.Dockerfile
#	.github/workflows/docker.yml
#	docs/docker.md
#	ggml/src/ggml-opencl/CMakeLists.txt
#	ggml/src/ggml-opencl/ggml-opencl.cpp
#	ggml/src/ggml-opencl/kernels/cvt.cl
#	ggml/src/ggml-rpc/ggml-rpc.cpp
#	tests/test-backend-ops.cpp
#	tests/test-jinja.cpp
This commit is contained in:
Concedo 2026-03-31 15:47:40 +08:00
commit 56c21bac04
5 changed files with 22 additions and 142 deletions

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@ -1,138 +0,0 @@
ARG OPENVINO_VERSION_MAJOR=2026.0
ARG OPENVINO_VERSION_FULL=2026.0.0.20965.c6d6a13a886
ARG UBUNTU_VERSION=24.04
# Optional proxy build arguments - empty by default
ARG http_proxy=
ARG https_proxy=
## Build Image
FROM ubuntu:${UBUNTU_VERSION} AS build
# Pass proxy args to build stage
ARG http_proxy
ARG https_proxy
RUN apt-get update && \
apt-get install -y --no-install-recommends \
ca-certificates \
gnupg \
wget \
git \
cmake \
ninja-build \
build-essential \
libtbb12 \
libssl-dev \
ocl-icd-opencl-dev \
opencl-headers \
opencl-clhpp-headers \
intel-opencl-icd && \
rm -rf /var/lib/apt/lists/*
# Install OpenVINO for Ubuntu 24.04
ARG OPENVINO_VERSION_MAJOR
ARG OPENVINO_VERSION_FULL
RUN mkdir -p /opt/intel && \
wget https://storage.openvinotoolkit.org/repositories/openvino/packages/${OPENVINO_VERSION_MAJOR}/linux/openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64.tgz && \
tar -xf openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64.tgz && \
mv openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64 /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} && \
cd /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} && \
echo "Y" | ./install_dependencies/install_openvino_dependencies.sh && \
cd - && \
ln -s /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} /opt/intel/openvino
ENV OpenVINO_DIR=/opt/intel/openvino
WORKDIR /app
COPY . .
# Build Stage
RUN bash -c "source ${OpenVINO_DIR}/setupvars.sh && \
cmake -B build/ReleaseOV -G Ninja \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENVINO=ON && \
cmake --build build/ReleaseOV -j$(nproc)"
# Copy all necessary libraries
RUN mkdir -p /app/lib && \
find build/ReleaseOV -name '*.so*' -exec cp {} /app/lib \; && \
find ${OpenVINO_DIR}/runtime/lib/intel64 -name '*.so*' -exec cp -P {} /app/lib \; 2>/dev/null || \
find ${OpenVINO_DIR}/lib/intel64 -name '*.so*' -exec cp -P {} /app/lib \;
# Create runtime directories and copy binaries
RUN mkdir -p /app/full \
&& cp build/ReleaseOV/bin/* /app/full/ \
&& cp *.py /app/full \
&& cp -r gguf-py /app/full \
&& cp -r requirements /app/full \
&& cp requirements.txt /app/full \
&& cp .devops/tools.sh /app/full/tools.sh
## Base Runtime Image
FROM ubuntu:${UBUNTU_VERSION} AS base
# Pass proxy args to runtime stage
ARG http_proxy
ARG https_proxy
RUN apt-get update \
&& apt-get install -y libgomp1 libtbb12 curl\
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
&& find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
&& find /var/cache -type f -delete
COPY --from=build /app/lib/ /app/
### Full (all binaries)
FROM base AS full
ARG http_proxy
ARG https_proxy
COPY --from=build /app/full /app/
WORKDIR /app
RUN apt-get update && \
apt-get install -y --no-install-recommends \
git \
python3 \
python3-venv \
python3-pip && \
python3 -m venv /ov-venv && \
/ov-venv/bin/pip install --no-cache-dir --upgrade pip setuptools wheel && \
/ov-venv/bin/pip install --no-cache-dir -r requirements.txt && \
apt-get autoremove -y && \
apt-get clean && \
rm -rf /tmp/* /var/tmp/* && \
find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete && \
find /var/cache -type f -delete
ENTRYPOINT ["/bin/bash", "-c", "source /ov-venv/bin/activate && exec /app/tools.sh \"$@\"", "--"]
### Light, CLI only
FROM base AS light
COPY --from=build /app/full/llama-cli /app/
WORKDIR /app
ENTRYPOINT [ "/app/llama-cli" ]
### Server, Server only
FROM base AS server
ENV LLAMA_ARG_HOST=0.0.0.0
COPY --from=build /app/full/llama-server /app/
WORKDIR /app
HEALTHCHECK CMD [ "curl", "-f", "http://localhost:8080/health" ]
ENTRYPOINT [ "/app/llama-server" ]

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@ -539,6 +539,9 @@ private:
statement_ptr step = slices.size() > 2 ? std::move(slices[2]) : nullptr;
return mk_stmt<slice_expression>(start_pos, std::move(start), std::move(stop), std::move(step));
}
if (slices.empty()) {
return mk_stmt<blank_expression>(start_pos);
}
return std::move(slices[0]);
}

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@ -771,10 +771,15 @@ value member_expression::execute_impl(context & ctx) {
}
JJ_DEBUG("Member expression on object type %s, property type %s", object->type().c_str(), property->type().c_str());
ensure_key_type_allowed(property);
value val = mk_val<value_undefined>("object_property");
if (property->is_undefined()) {
JJ_DEBUG("%s", "Member expression property is undefined, returning undefined");
return val;
}
ensure_key_type_allowed(property);
if (is_val<value_undefined>(object)) {
JJ_DEBUG("%s", "Accessing property on undefined object, returning undefined");
return val;

View file

@ -263,6 +263,14 @@ struct comment_statement : public statement {
// Expressions
// Represents an omitted expression in a computed member, e.g. `a[]`.
struct blank_expression : public expression {
std::string type() const override { return "BlankExpression"; }
value execute_impl(context &) override {
return mk_val<value_undefined>();
}
};
struct member_expression : public expression {
statement_ptr object;
statement_ptr property;

View file

@ -47,9 +47,11 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool,
#ifdef STRIDED_ITERATOR_AVAILABLE
auto offset_iterator = cuda::make_strided_iterator(cuda::make_counting_iterator(0), ncols);
#else
ggml_cuda_pool_alloc<int> offsets_alloc(pool, nrows + 1);
// offset_iterator needs to populate nrows + 1 elements, so we also have to ceildiv nrows + 1 by block_size
const int nrows_offset = nrows + 1;
ggml_cuda_pool_alloc<int> offsets_alloc(pool, nrows_offset);
int * offset_iterator = offsets_alloc.get();
const dim3 offset_grid((nrows + block_size - 1) / block_size);
const dim3 offset_grid((nrows_offset + block_size - 1) / block_size);
init_offsets<<<offset_grid, block_size, 0, stream>>>(offset_iterator, ncols, nrows);
#endif
CUDA_CHECK(cudaMemcpyAsync(temp_keys, x, ncols * nrows * sizeof(float), cudaMemcpyDeviceToDevice, stream));