Add files using upload-large-folder tool

.gitattributes

@@ -1491,3 +1491,4 @@ parrot/lib/python3.10/site-packages/scipy/stats/_biasedurn.cpython-310-x86_64-li
 parrot/lib/python3.10/site-packages/scipy/stats/_rcont/rcont.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
 vllm/lib/python3.10/site-packages/ray/data/__pycache__/dataset.cpython-310.pyc filter=lfs diff=lfs merge=lfs -text
 vllm/lib/python3.10/site-packages/torchvision/image.so filter=lfs diff=lfs merge=lfs -text
+vllm/lib/python3.10/site-packages/torchvision/_C.so filter=lfs diff=lfs merge=lfs -text

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_cast_Long_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _cast_Long {
+  using schema = at::Tensor (const at::Tensor &, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_cast_Long")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_cast_Long(Tensor self, bool non_blocking=False) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, bool non_blocking);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking);
+};
+
+}} // namespace at::_ops

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sinh.h

@@ -0,0 +1,44 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_foreach_sinh_ops.h>
+
+namespace at {
+
+
+// aten::_foreach_sinh(Tensor[] self) -> Tensor[]
+inline ::std::vector<at::Tensor> _foreach_sinh(at::TensorList self) {
+    return at::_ops::_foreach_sinh::call(self);
+}
+
+// aten::_foreach_sinh_(Tensor(a!)[] self) -> ()
+inline void _foreach_sinh_(at::TensorList self) {
+    return at::_ops::_foreach_sinh_::call(self);
+}
+
+// aten::_foreach_sinh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_sinh_out(at::TensorList out, at::TensorList self) {
+    return at::_ops::_foreach_sinh_out::call(self, out);
+}
+// aten::_foreach_sinh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_sinh_outf(at::TensorList self, at::TensorList out) {
+    return at::_ops::_foreach_sinh_out::call(self, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_trunc.h

@@ -0,0 +1,44 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_foreach_trunc_ops.h>
+
+namespace at {
+
+
+// aten::_foreach_trunc(Tensor[] self) -> Tensor[]
+inline ::std::vector<at::Tensor> _foreach_trunc(at::TensorList self) {
+    return at::_ops::_foreach_trunc::call(self);
+}
+
+// aten::_foreach_trunc_(Tensor(a!)[] self) -> ()
+inline void _foreach_trunc_(at::TensorList self) {
+    return at::_ops::_foreach_trunc_::call(self);
+}
+
+// aten::_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_trunc_out(at::TensorList out, at::TensorList self) {
+    return at::_ops::_foreach_trunc_out::call(self, out);
+}
+// aten::_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_trunc_outf(at::TensorList self, at::TensorList out) {
+    return at::_ops::_foreach_trunc_out::call(self, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cpu_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor _make_per_tensor_quantized_tensor(const at::Tensor & self, double scale, int64_t zero_point);
+
+} // namespace cpu
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_softmax.h

@@ -0,0 +1,49 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_sparse_softmax_ops.h>
+
+namespace at {
+
+
+// aten::_sparse_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor
+inline at::Tensor _sparse_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
+    return at::_ops::_sparse_softmax_int::call(self, dim, dtype);
+}
+
+// aten::_sparse_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor
+inline at::Tensor _sparse_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) {
+    return at::_ops::_sparse_softmax_Dimname::call(self, dim, dtype);
+}
+
+// aten::_sparse_softmax(Tensor self, int dim, bool half_to_float) -> Tensor
+inline at::Tensor _sparse_softmax(const at::Tensor & self, int64_t dim, bool half_to_float) {
+    return at::_ops::_sparse_softmax::call(self, dim, half_to_float);
+}
+
+// aten::_sparse_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _sparse_softmax_out(at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float) {
+    return at::_ops::_sparse_softmax_out::call(self, dim, half_to_float, out);
+}
+// aten::_sparse_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _sparse_softmax_outf(const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out) {
+    return at::_ops::_sparse_softmax_out::call(self, dim, half_to_float, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/bitwise_or_meta.h

@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured_bitwise_or_Tensor : public TensorIteratorBase {
+    
+    
+    void meta(const at::Tensor & self, const at::Tensor & other);
+};
+
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/cat_compositeexplicitautogradnonfunctional_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautogradnonfunctional {
+
+TORCH_API at::Tensor cat(const at::ITensorListRef & tensors, int64_t dim=0);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/cummaxmin_backward.h

@@ -0,0 +1,30 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/cummaxmin_backward_ops.h>
+
+namespace at {
+
+
+// aten::cummaxmin_backward(Tensor grad, Tensor input, Tensor indices, int dim) -> Tensor
+inline at::Tensor cummaxmin_backward(const at::Tensor & grad, const at::Tensor & input, const at::Tensor & indices, int64_t dim) {
+    return at::_ops::cummaxmin_backward::call(grad, input, indices, dim);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/fft_hfft_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,28 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor fft_hfft(const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt);
+TORCH_API at::Tensor fft_hfft_symint(const at::Tensor & self, c10::optional<c10::SymInt> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt);
+TORCH_API at::Tensor & fft_hfft_out(at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt);
+TORCH_API at::Tensor & fft_hfft_outf(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out);
+TORCH_API at::Tensor & fft_hfft_symint_out(at::Tensor & out, const at::Tensor & self, c10::optional<c10::SymInt> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt);
+TORCH_API at::Tensor & fft_hfft_symint_outf(const at::Tensor & self, c10::optional<c10::SymInt> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out);
+
+} // namespace compositeimplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/fft_irfft_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor fft_irfft_symint(const at::Tensor & self, c10::optional<c10::SymInt> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt);
+TORCH_API at::Tensor & fft_irfft_symint_out(const at::Tensor & self, c10::optional<c10::SymInt> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/fft_rfft_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor fft_rfft_symint(const at::Tensor & self, c10::optional<c10::SymInt> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt);
+TORCH_API at::Tensor & fft_rfft_symint_out(const at::Tensor & self, c10::optional<c10::SymInt> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/floor_divide_cpu_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor floor_divide(const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & floor_divide_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & floor_divide_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out);
+TORCH_API at::Tensor & floor_divide_(at::Tensor & self, const at::Tensor & other);
+
+} // namespace cpu
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/indices_copy_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API indices_copy {
+  using schema = at::Tensor (const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::indices_copy")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "indices_copy(Tensor self) -> Tensor")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+struct TORCH_API indices_copy_out {
+  using schema = at::Tensor & (const at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::indices_copy")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out);
+};
+
+}} // namespace at::_ops

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/isclose_native.h

@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor isclose(const at::Tensor & self, const at::Tensor & other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/isreal_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor isreal(const at::Tensor & self);
+
+} // namespace compositeimplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/masked_scatter_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor masked_scatter(const at::Tensor & self, const at::Tensor & mask, const at::Tensor & source);
+TORCH_API at::Tensor & masked_scatter_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & source);
+TORCH_API at::Tensor & masked_scatter_outf(const at::Tensor & self, const at::Tensor & mask, const at::Tensor & source, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/max_pool3d_with_indices_backward_cuda_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor max_pool3d_with_indices_backward(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices);
+TORCH_API at::Tensor & max_pool3d_with_indices_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices);
+TORCH_API at::Tensor & max_pool3d_with_indices_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices, at::Tensor & grad_input);
+
+} // namespace cuda
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/mkldnn_linear_backward_weights_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> mkldnn_linear_backward_weights_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined);
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> mkldnn_linear_backward_weights_outf(const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined, at::Tensor & out0, at::Tensor & out1);
+
+} // namespace compositeexplicitautograd
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/nanmean.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/nanmean_ops.h>
+
+namespace at {
+
+
+// aten::nanmean(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
+inline at::Tensor nanmean(const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
+    return at::_ops::nanmean::call(self, dim, keepdim, dtype);
+}
+
+// aten::nanmean.out(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & nanmean_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) {
+    return at::_ops::nanmean_out::call(self, dim, keepdim, dtype, out);
+}
+// aten::nanmean.out(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & nanmean_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) {
+    return at::_ops::nanmean_out::call(self, dim, keepdim, dtype, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/native_batch_norm_backward_cuda_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_batch_norm_backward(const at::Tensor & grad_out, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_invstd, bool train, double eps, ::std::array<bool,3> output_mask);
+
+} // namespace cuda
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/sign_meta.h

@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured_sign : public TensorIteratorBase {
+    
+    
+    void meta(const at::Tensor & self);
+};
+
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/special_bessel_y1.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/special_bessel_y1_ops.h>
+
+namespace at {
+
+
+// aten::special_bessel_y1(Tensor self) -> Tensor
+inline at::Tensor special_bessel_y1(const at::Tensor & self) {
+    return at::_ops::special_bessel_y1::call(self);
+}
+
+// aten::special_bessel_y1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_bessel_y1_out(at::Tensor & out, const at::Tensor & self) {
+    return at::_ops::special_bessel_y1_out::call(self, out);
+}
+// aten::special_bessel_y1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_bessel_y1_outf(const at::Tensor & self, at::Tensor & out) {
+    return at::_ops::special_bessel_y1_out::call(self, out);
+}
+
+}

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/special_expm1_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API special_expm1 {
+  using schema = at::Tensor (const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_expm1")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_expm1(Tensor self) -> Tensor")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+struct TORCH_API special_expm1_out {
+  using schema = at::Tensor & (const at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_expm1")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out);
+};
+
+}} // namespace at::_ops

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/special_logit_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor special_logit(const at::Tensor & self, c10::optional<double> eps=c10::nullopt);
+TORCH_API at::Tensor & special_logit_out(const at::Tensor & self, c10::optional<double> eps, at::Tensor & out);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/special_softmax_native.h

@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor special_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt);
+} // namespace native
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_nearest3d_backward_meta_dispatch.h

@@ -0,0 +1,28 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor upsample_nearest3d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt);
+TORCH_API at::Tensor upsample_nearest3d_backward_symint(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt);
+TORCH_API at::Tensor & upsample_nearest3d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt);
+TORCH_API at::Tensor & upsample_nearest3d_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input);
+TORCH_API at::Tensor & upsample_nearest3d_backward_symint_out(at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt);
+TORCH_API at::Tensor & upsample_nearest3d_backward_symint_outf(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input);
+
+} // namespace meta
+} // namespace at

videollama2/lib/python3.10/site-packages/torch/include/ATen/ops/zero_cpu_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor & zero_(at::Tensor & self);
+
+} // namespace cpu
+} // namespace at

vllm/lib/python3.10/site-packages/attrs-24.3.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

vllm/lib/python3.10/site-packages/attrs-24.3.0.dist-info/METADATA

@@ -0,0 +1,246 @@
+Metadata-Version: 2.4
+Name: attrs
+Version: 24.3.0
+Summary: Classes Without Boilerplate
+Project-URL: Documentation, https://www.attrs.org/
+Project-URL: Changelog, https://www.attrs.org/en/stable/changelog.html
+Project-URL: GitHub, https://github.com/python-attrs/attrs
+Project-URL: Funding, https://github.com/sponsors/hynek
+Project-URL: Tidelift, https://tidelift.com/subscription/pkg/pypi-attrs?utm_source=pypi-attrs&utm_medium=pypi
+Author-email: Hynek Schlawack <hs@ox.cx>
+License-Expression: MIT
+License-File: LICENSE
+Keywords: attribute,boilerplate,class
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Typing :: Typed
+Requires-Python: >=3.8
+Provides-Extra: benchmark
+Requires-Dist: cloudpickle; (platform_python_implementation == 'CPython') and extra == 'benchmark'
+Requires-Dist: hypothesis; extra == 'benchmark'
+Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'benchmark'
+Requires-Dist: pympler; extra == 'benchmark'
+Requires-Dist: pytest-codspeed; extra == 'benchmark'
+Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'benchmark'
+Requires-Dist: pytest-xdist[psutil]; extra == 'benchmark'
+Requires-Dist: pytest>=4.3.0; extra == 'benchmark'
+Provides-Extra: cov
+Requires-Dist: cloudpickle; (platform_python_implementation == 'CPython') and extra == 'cov'
+Requires-Dist: coverage[toml]>=5.3; extra == 'cov'
+Requires-Dist: hypothesis; extra == 'cov'
+Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'cov'
+Requires-Dist: pympler; extra == 'cov'
+Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'cov'
+Requires-Dist: pytest-xdist[psutil]; extra == 'cov'
+Requires-Dist: pytest>=4.3.0; extra == 'cov'
+Provides-Extra: dev
+Requires-Dist: cloudpickle; (platform_python_implementation == 'CPython') and extra == 'dev'
+Requires-Dist: hypothesis; extra == 'dev'
+Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'dev'
+Requires-Dist: pre-commit-uv; extra == 'dev'
+Requires-Dist: pympler; extra == 'dev'
+Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'dev'
+Requires-Dist: pytest-xdist[psutil]; extra == 'dev'
+Requires-Dist: pytest>=4.3.0; extra == 'dev'
+Provides-Extra: docs
+Requires-Dist: cogapp; extra == 'docs'
+Requires-Dist: furo; extra == 'docs'
+Requires-Dist: myst-parser; extra == 'docs'
+Requires-Dist: sphinx; extra == 'docs'
+Requires-Dist: sphinx-notfound-page; extra == 'docs'
+Requires-Dist: sphinxcontrib-towncrier; extra == 'docs'
+Requires-Dist: towncrier<24.7; extra == 'docs'
+Provides-Extra: tests
+Requires-Dist: cloudpickle; (platform_python_implementation == 'CPython') and extra == 'tests'
+Requires-Dist: hypothesis; extra == 'tests'
+Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'tests'
+Requires-Dist: pympler; extra == 'tests'
+Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'tests'
+Requires-Dist: pytest-xdist[psutil]; extra == 'tests'
+Requires-Dist: pytest>=4.3.0; extra == 'tests'
+Provides-Extra: tests-mypy
+Requires-Dist: mypy>=1.11.1; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'tests-mypy'
+Requires-Dist: pytest-mypy-plugins; (platform_python_implementation == 'CPython' and python_version >= '3.10') and extra == 'tests-mypy'
+Description-Content-Type: text/markdown
+
+<p align="center">
+  <a href="https://www.attrs.org/">
+    <img src="https://raw.githubusercontent.com/python-attrs/attrs/main/docs/_static/attrs_logo.svg" width="35%" alt="attrs" />
+  </a>
+</p>
+
+
+*attrs* is the Python package that will bring back the **joy** of **writing classes** by relieving you from the drudgery of implementing object protocols (aka [dunder methods](https://www.attrs.org/en/latest/glossary.html#term-dunder-methods)).
+[Trusted by NASA](https://docs.github.com/en/account-and-profile/setting-up-and-managing-your-github-profile/customizing-your-profile/personalizing-your-profile#list-of-qualifying-repositories-for-mars-2020-helicopter-contributor-achievement) for Mars missions since 2020!
+
+Its main goal is to help you to write **concise** and **correct** software without slowing down your code.
+
+
+## Sponsors
+
+*attrs* would not be possible without our [amazing sponsors](https://github.com/sponsors/hynek).
+Especially those generously supporting us at the *The Organization* tier and higher:
+
+<!-- sponsor-break-begin -->
+
+<p align="center">
+
+<!-- [[[cog
+import pathlib, tomllib
+
+for sponsor in tomllib.loads(pathlib.Path("pyproject.toml").read_text())["tool"]["sponcon"]["sponsors"]:
+      print(f'<a href="{sponsor["url"]}"><img title="{sponsor["title"]}" src="https://www.attrs.org/en/24.3.0/_static/sponsors/{sponsor["img"]}" width="190" /></a>')
+]]] -->
+<a href="https://www.variomedia.de/"><img title="Variomedia AG" src="https://www.attrs.org/en/24.3.0/_static/sponsors/Variomedia.svg" width="190" /></a>
+<a href="https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek"><img title="Tidelift" src="https://www.attrs.org/en/24.3.0/_static/sponsors/Tidelift.svg" width="190" /></a>
+<a href="https://klaviyo.com/"><img title="Klaviyo" src="https://www.attrs.org/en/24.3.0/_static/sponsors/Klaviyo.svg" width="190" /></a>
+<a href="https://www.emsys-renewables.com/"><img title="emsys renewables" src="https://www.attrs.org/en/24.3.0/_static/sponsors/emsys-renewables.svg" width="190" /></a>
+<a href="https://filepreviews.io/"><img title="FilePreviews" src="https://www.attrs.org/en/24.3.0/_static/sponsors/FilePreviews.svg" width="190" /></a>
+<a href="https://polar.sh/"><img title="Polar" src="https://www.attrs.org/en/24.3.0/_static/sponsors/Polar.svg" width="190" /></a>
+<!-- [[[end]]] -->
+
+</p>
+
+<!-- sponsor-break-end -->
+
+<p align="center">
+   <strong>Please consider <a href="https://github.com/sponsors/hynek">joining them</a> to help make <em>attrs</em>’s maintenance more sustainable!</strong>
+</p>
+
+<!-- teaser-end -->
+
+## Example
+
+*attrs* gives you a class decorator and a way to declaratively define the attributes on that class:
+
+<!-- code-begin -->
+
+```pycon
+>>> from attrs import asdict, define, make_class, Factory
+
+>>> @define
+... class SomeClass:
+...     a_number: int = 42
+...     list_of_numbers: list[int] = Factory(list)
+...
+...     def hard_math(self, another_number):
+...         return self.a_number + sum(self.list_of_numbers) * another_number
+
+
+>>> sc = SomeClass(1, [1, 2, 3])
+>>> sc
+SomeClass(a_number=1, list_of_numbers=[1, 2, 3])
+
+>>> sc.hard_math(3)
+19
+>>> sc == SomeClass(1, [1, 2, 3])
+True
+>>> sc != SomeClass(2, [3, 2, 1])
+True
+
+>>> asdict(sc)
+{'a_number': 1, 'list_of_numbers': [1, 2, 3]}
+
+>>> SomeClass()
+SomeClass(a_number=42, list_of_numbers=[])
+
+>>> C = make_class("C", ["a", "b"])
+>>> C("foo", "bar")
+C(a='foo', b='bar')
+```
+
+After *declaring* your attributes, *attrs* gives you:
+
+- a concise and explicit overview of the class's attributes,
+- a nice human-readable `__repr__`,
+- equality-checking methods,
+- an initializer,
+- and much more,
+
+*without* writing dull boilerplate code again and again and *without* runtime performance penalties.
+
+---
+
+This example uses *attrs*'s modern APIs that have been introduced in version 20.1.0, and the *attrs* package import name that has been added in version 21.3.0.
+The classic APIs (`@attr.s`, `attr.ib`, plus their serious-business aliases) and the `attr` package import name will remain **indefinitely**.
+
+Check out [*On The Core API Names*](https://www.attrs.org/en/latest/names.html) for an in-depth explanation!
+
+
+### Hate Type Annotations!?
+
+No problem!
+Types are entirely **optional** with *attrs*.
+Simply assign `attrs.field()` to the attributes instead of annotating them with types:
+
+```python
+from attrs import define, field
+
+@define
+class SomeClass:
+    a_number = field(default=42)
+    list_of_numbers = field(factory=list)
+```
+
+
+## Data Classes
+
+On the tin, *attrs* might remind you of `dataclasses` (and indeed, `dataclasses` [are a descendant](https://hynek.me/articles/import-attrs/) of *attrs*).
+In practice it does a lot more and is more flexible.
+For instance, it allows you to define [special handling of NumPy arrays for equality checks](https://www.attrs.org/en/stable/comparison.html#customization), allows more ways to [plug into the initialization process](https://www.attrs.org/en/stable/init.html#hooking-yourself-into-initialization), has a replacement for `__init_subclass__`, and allows for stepping through the generated methods using a debugger.
+
+For more details, please refer to our [comparison page](https://www.attrs.org/en/stable/why.html#data-classes), but generally speaking, we are more likely to commit crimes against nature to make things work that one would expect to work, but that are quite complicated in practice.
+
+
+## Project Information
+
+- [**Changelog**](https://www.attrs.org/en/stable/changelog.html)
+- [**Documentation**](https://www.attrs.org/)
+- [**PyPI**](https://pypi.org/project/attrs/)
+- [**Source Code**](https://github.com/python-attrs/attrs)
+- [**Contributing**](https://github.com/python-attrs/attrs/blob/main/.github/CONTRIBUTING.md)
+- [**Third-party Extensions**](https://github.com/python-attrs/attrs/wiki/Extensions-to-attrs)
+- **Get Help**: use the `python-attrs` tag on [Stack Overflow](https://stackoverflow.com/questions/tagged/python-attrs)
+
+
+### *attrs* for Enterprise
+
+Available as part of the [Tidelift Subscription](https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek).
+
+The maintainers of *attrs* and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications.
+Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use.
+
+## Release Information
+
+### Backwards-incompatible Changes
+
+- Python 3.7 has been dropped.
+  [#1340](https://github.com/python-attrs/attrs/issues/1340)
+
+
+### Changes
+
+- Introduce `attrs.NothingType`, for annotating types consistent with `attrs.NOTHING`.
+  [#1358](https://github.com/python-attrs/attrs/issues/1358)
+- Allow mutating `__suppress_context__` and `__notes__` on frozen exceptions.
+  [#1365](https://github.com/python-attrs/attrs/issues/1365)
+- `attrs.converters.optional()` works again when taking `attrs.converters.pipe()` or another Converter as its argument.
+  [#1372](https://github.com/python-attrs/attrs/issues/1372)
+- *attrs* instances now support [`copy.replace()`](https://docs.python.org/3/library/copy.html#copy.replace).
+  [#1383](https://github.com/python-attrs/attrs/issues/1383)
+- `attrs.validators.instance_of()`'s type hints now allow for union types.
+  For example: `instance_of(str | int)`
+  [#1385](https://github.com/python-attrs/attrs/issues/1385)
+
+
+
+---
+
+[Full changelog →](https://www.attrs.org/en/stable/changelog.html)

vllm/lib/python3.10/site-packages/attrs-24.3.0.dist-info/RECORD

@@ -0,0 +1,56 @@
+attr/__init__.py,sha256=fOYIvt1eGSqQre4uCS3sJWKZ0mwAuC8UD6qba5OS9_U,2057
+attr/__init__.pyi,sha256=QIXnnHPoucmDWkbpNsWTP-cgJ1bn8le7DjyRa_wYdew,11281
+attr/__pycache__/__init__.cpython-310.pyc,,
+attr/__pycache__/_cmp.cpython-310.pyc,,
+attr/__pycache__/_compat.cpython-310.pyc,,
+attr/__pycache__/_config.cpython-310.pyc,,
+attr/__pycache__/_funcs.cpython-310.pyc,,
+attr/__pycache__/_make.cpython-310.pyc,,
+attr/__pycache__/_next_gen.cpython-310.pyc,,
+attr/__pycache__/_version_info.cpython-310.pyc,,
+attr/__pycache__/converters.cpython-310.pyc,,
+attr/__pycache__/exceptions.cpython-310.pyc,,
+attr/__pycache__/filters.cpython-310.pyc,,
+attr/__pycache__/setters.cpython-310.pyc,,
+attr/__pycache__/validators.cpython-310.pyc,,
+attr/_cmp.py,sha256=3umHiBtgsEYtvNP_8XrQwTCdFoZIX4DEur76N-2a3X8,4123
+attr/_cmp.pyi,sha256=U-_RU_UZOyPUEQzXE6RMYQQcjkZRY25wTH99sN0s7MM,368
+attr/_compat.py,sha256=4hlXbWhdDjQCDK6FKF1EgnZ3POiHgtpp54qE0nxaGHg,2704
+attr/_config.py,sha256=dGq3xR6fgZEF6UBt_L0T-eUHIB4i43kRmH0P28sJVw8,843
+attr/_funcs.py,sha256=5-tUKJtp3h5El55EcDl6GWXFp68fT8D8U7uCRN6497I,15854
+attr/_make.py,sha256=orKSf6C-B1eZfpat4lbAtxvmSyE_yxlG8zY9115ufWk,94157
+attr/_next_gen.py,sha256=7FRkbtl_N017SuBhf_Vw3mw2c2pGZhtCGOzadgz7tp4,24395
+attr/_typing_compat.pyi,sha256=XDP54TUn-ZKhD62TOQebmzrwFyomhUCoGRpclb6alRA,469
+attr/_version_info.py,sha256=exSqb3b5E-fMSsgZAlEw9XcLpEgobPORCZpcaEglAM4,2121
+attr/_version_info.pyi,sha256=x_M3L3WuB7r_ULXAWjx959udKQ4HLB8l-hsc1FDGNvk,209
+attr/converters.py,sha256=GlDeOzPeTFgeBBLbj9G57Ez5lAk68uhSALRYJ_exe84,3861
+attr/converters.pyi,sha256=orU2bff-VjQa2kMDyvnMQV73oJT2WRyQuw4ZR1ym1bE,643
+attr/exceptions.py,sha256=HRFq4iybmv7-DcZwyjl6M1euM2YeJVK_hFxuaBGAngI,1977
+attr/exceptions.pyi,sha256=zZq8bCUnKAy9mDtBEw42ZhPhAUIHoTKedDQInJD883M,539
+attr/filters.py,sha256=ZBiKWLp3R0LfCZsq7X11pn9WX8NslS2wXM4jsnLOGc8,1795
+attr/filters.pyi,sha256=3J5BG-dTxltBk1_-RuNRUHrv2qu1v8v4aDNAQ7_mifA,208
+attr/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+attr/setters.py,sha256=5-dcT63GQK35ONEzSgfXCkbB7pPkaR-qv15mm4PVSzQ,1617
+attr/setters.pyi,sha256=NnVkaFU1BB4JB8E4JuXyrzTUgvtMpj8p3wBdJY7uix4,584
+attr/validators.py,sha256=WaB1HLAHHqRHWsrv_K9H-sJ7ESil3H3Cmv2d8TtVZx4,20046
+attr/validators.pyi,sha256=s2WhKPqskxbsckJfKk8zOuuB088GfgpyxcCYSNFLqNU,2603
+attrs-24.3.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+attrs-24.3.0.dist-info/METADATA,sha256=f9hhECeAUyS7iewHPRuMLDy1tpJ6vyy8R_TKUnCmiA8,11654
+attrs-24.3.0.dist-info/RECORD,,
+attrs-24.3.0.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+attrs-24.3.0.dist-info/WHEEL,sha256=qtCwoSJWgHk21S1Kb4ihdzI2rlJ1ZKaIurTj_ngOhyQ,87
+attrs-24.3.0.dist-info/licenses/LICENSE,sha256=iCEVyV38KvHutnFPjsbVy8q_Znyv-HKfQkINpj9xTp8,1109
+attrs/__init__.py,sha256=qeQJZ4O08yczSn840v9bYOaZyRE81WsVi-QCrY3krCU,1107
+attrs/__init__.pyi,sha256=nZmInocjM7tHV4AQw0vxO_fo6oJjL_PonlV9zKKW8DY,7931
+attrs/__pycache__/__init__.cpython-310.pyc,,
+attrs/__pycache__/converters.cpython-310.pyc,,
+attrs/__pycache__/exceptions.cpython-310.pyc,,
+attrs/__pycache__/filters.cpython-310.pyc,,
+attrs/__pycache__/setters.cpython-310.pyc,,
+attrs/__pycache__/validators.cpython-310.pyc,,
+attrs/converters.py,sha256=8kQljrVwfSTRu8INwEk8SI0eGrzmWftsT7rM0EqyohM,76
+attrs/exceptions.py,sha256=ACCCmg19-vDFaDPY9vFl199SPXCQMN_bENs4DALjzms,76
+attrs/filters.py,sha256=VOUMZug9uEU6dUuA0dF1jInUK0PL3fLgP0VBS5d-CDE,73
+attrs/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+attrs/setters.py,sha256=eL1YidYQV3T2h9_SYIZSZR1FAcHGb1TuCTy0E0Lv2SU,73
+attrs/validators.py,sha256=xcy6wD5TtTkdCG1f4XWbocPSO0faBjk5IfVJfP6SUj0,76

vllm/lib/python3.10/site-packages/attrs-24.3.0.dist-info/licenses/LICENSE

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2015 Hynek Schlawack and the attrs contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

vllm/lib/python3.10/site-packages/tokenizers-0.21.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

vllm/lib/python3.10/site-packages/tokenizers-0.21.0.dist-info/RECORD

@@ -0,0 +1,46 @@
+tokenizers-0.21.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+tokenizers-0.21.0.dist-info/METADATA,sha256=oNldYkLKpnavqOq1XABp8c_yNaR65mGu_qaFlD0St2M,6719
+tokenizers-0.21.0.dist-info/RECORD,,
+tokenizers-0.21.0.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+tokenizers-0.21.0.dist-info/WHEEL,sha256=PuLiPGpD0eVcoUkb9lueobt7VbCYShlDtLaTRPpT7Z0,127
+tokenizers/__init__.py,sha256=ZE5ZagUvobBScrHBQdEobhx4wqM0bsq9F9aLYkBNjYQ,2615
+tokenizers/__init__.pyi,sha256=jw34WZXaYu8NBBJ2_cypfOqJYxI7CXKPzlveisXw4XQ,40182
+tokenizers/__pycache__/__init__.cpython-310.pyc,,
+tokenizers/decoders/__init__.py,sha256=hfwM6CFUDvlMGGL4-xsaaYz81K9P5rQI5ZL5UHWK8Y4,372
+tokenizers/decoders/__init__.pyi,sha256=U0dfPVxoGpb-RmNKzZMZebe0fK2riRMbxQh9yJMHjYE,7378
+tokenizers/decoders/__pycache__/__init__.cpython-310.pyc,,
+tokenizers/implementations/__init__.py,sha256=VzAsplaIo7rl4AFO8Miu7ig7MfZjvonwVblZw01zR6M,310
+tokenizers/implementations/__pycache__/__init__.cpython-310.pyc,,
+tokenizers/implementations/__pycache__/base_tokenizer.cpython-310.pyc,,
+tokenizers/implementations/__pycache__/bert_wordpiece.cpython-310.pyc,,
+tokenizers/implementations/__pycache__/byte_level_bpe.cpython-310.pyc,,
+tokenizers/implementations/__pycache__/char_level_bpe.cpython-310.pyc,,
+tokenizers/implementations/__pycache__/sentencepiece_bpe.cpython-310.pyc,,
+tokenizers/implementations/__pycache__/sentencepiece_unigram.cpython-310.pyc,,
+tokenizers/implementations/base_tokenizer.py,sha256=2TFZhLupaJiMDYGJuUNmxYJv-cnR8bDHmbMzaYpFROs,14206
+tokenizers/implementations/bert_wordpiece.py,sha256=sKCum0FKPYdSgJFJN8LDerVBoTDRSqyqSdrcm-lvQqI,5520
+tokenizers/implementations/byte_level_bpe.py,sha256=OA_jyy3EQmYTa6hnf-EKwLOFuyroqFYOJz25ysM2BUk,4289
+tokenizers/implementations/char_level_bpe.py,sha256=Q2ZEAW0xMQHF7YCUtmplwaxbU-J0P2NK4PJGMxUb-_c,5466
+tokenizers/implementations/sentencepiece_bpe.py,sha256=LwrofoohnUfME2lK2lQYoyQIhP84RP0CIlHRaj0hyNs,3738
+tokenizers/implementations/sentencepiece_unigram.py,sha256=SYiVXL8ZtqLXKpuqwnwmrfxgGotu8yAkOu7dLztEXIo,7580
+tokenizers/models/__init__.py,sha256=eJZ4HTAQZpxnKILNylWaTFqxXy-Ba6OKswWN47feeV8,176
+tokenizers/models/__init__.pyi,sha256=clPTwiyjz7FlVdEuwo_3Wa_TmQrbZhW0SGmnNylepnY,16929
+tokenizers/models/__pycache__/__init__.cpython-310.pyc,,
+tokenizers/normalizers/__init__.py,sha256=_06w4cqRItveEgIddYaLMScgkSOkIAMIzYCesb5AA4U,841
+tokenizers/normalizers/__init__.pyi,sha256=dwfVsvg0YbeYoAaBSmKsImqL-tyxiDyHaaTFsZK4aZw,20897
+tokenizers/normalizers/__pycache__/__init__.cpython-310.pyc,,
+tokenizers/pre_tokenizers/__init__.py,sha256=wd6KYQA_RsGSQK-HeG9opTRhv4ttSRkyno2dk6az-PM,557
+tokenizers/pre_tokenizers/__init__.pyi,sha256=dLtaxOgcBa85vQC6byvfKGCOWTEi4c42IcqimfatksQ,23602
+tokenizers/pre_tokenizers/__pycache__/__init__.cpython-310.pyc,,
+tokenizers/processors/__init__.py,sha256=xM2DEKwKtHIumHsszM8AMkq-AlaqvBZFXWgLU8SNhOY,307
+tokenizers/processors/__init__.pyi,sha256=hx767ZY8SHhxb_hiXPRxm-f_KcoR4XDx7vfK2c0lR-Q,11357
+tokenizers/processors/__pycache__/__init__.cpython-310.pyc,,
+tokenizers/tokenizers.abi3.so,sha256=uPe1mVjvIUFcXkPyyik0lcgOjPT3LKlTtAOTuDhZAN0,8942016
+tokenizers/tools/__init__.py,sha256=xG8caB9OHC8cbB01S5vYV14HZxhO6eWbLehsb70ppio,55
+tokenizers/tools/__pycache__/__init__.cpython-310.pyc,,
+tokenizers/tools/__pycache__/visualizer.cpython-310.pyc,,
+tokenizers/tools/visualizer-styles.css,sha256=zAydq1oGWD8QEll4-eyL8Llw0B1sty_hpIE3tYxL02k,4850
+tokenizers/tools/visualizer.py,sha256=gi-E2NCP7FuG6ujpQOdalSTXUlaV85V6NI-ZPPTvA_4,14625
+tokenizers/trainers/__init__.py,sha256=UTu22AGcp76IvpW45xLRbJWET04NxPW6NfCb2YYz0EM,248
+tokenizers/trainers/__init__.pyi,sha256=3TwFKts4me7zQfVRcSTmtXYiP4XwcRjfAYtwqoZVtoQ,5382
+tokenizers/trainers/__pycache__/__init__.cpython-310.pyc,,

vllm/lib/python3.10/site-packages/torchvision/_C.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d19d6a3341eb3c0e248ae08c06bff9ec797d1fca30659dc7ae2e527d55206c2a
+size 7746688