diff --git a/.github/scripts/filter-matrix.py b/.github/scripts/filter-matrix.py index 86de56e28cd..964612297bd 100644 --- a/.github/scripts/filter-matrix.py +++ b/.github/scripts/filter-matrix.py @@ -17,8 +17,8 @@ jetpack_python_versions: List[str] = ["3.10"] jetpack_cuda_versions: List[str] = ["cu126"] # CUDA 13 wheels are supported on x86_64 and Arm, including Windows Arm/AArch64. -x86_cuda_versions: List[str] = ["cu130", "cu132", "cu134"] -arm_cuda_versions: List[str] = ["cu130", "cu132", "cu134"] +x86_cuda_versions: List[str] = ["cu132", "cu134"] +arm_cuda_versions: List[str] = ["cu132", "cu134"] # For PRs we build/test a single representative config to keep cycle time short. # Full matrix runs on main / nightly / release branches. diff --git a/.github/scripts/generate-release-matrix.py b/.github/scripts/generate-release-matrix.py index e497a030c7e..ff5402bf18f 100644 --- a/.github/scripts/generate-release-matrix.py +++ b/.github/scripts/generate-release-matrix.py @@ -7,7 +7,8 @@ import sys RELEASE_CUDA_VERSION = { - "wheel": ["cu130", "cu132", "cu134"], + # Wheels follow the CUDA rows in filter-matrix.py; libtorch still ships cu130 tarballs. + "wheel": ["cu132", "cu134"], "tarball": ["cu130", "cu132", "cu134"], } RELEASE_PYTHON_VERSION = { diff --git a/.github/workflows/docgen.yml b/.github/workflows/docgen.yml index 4d4ba5fda62..aa7dc3b068c 100644 --- a/.github/workflows/docgen.yml +++ b/.github/workflows/docgen.yml @@ -19,11 +19,11 @@ jobs: if: ${{ ! contains(github.actor, 'pytorchbot') }} environment: pytorchbot-env container: - image: docker.io/pytorch/manylinux2_28-builder:cuda13.0 + image: docker.io/pytorch/manylinux2_28-builder:cuda13.2 env: - CUDA_HOME: /usr/local/cuda-13.0 - VERSION_SUFFIX: cu130 - CU_VERSION: cu130 + CUDA_HOME: /usr/local/cuda-13.2 + VERSION_SUFFIX: cu132 + CU_VERSION: cu132 CHANNEL: nightly CI_BUILD: 1 steps: @@ -39,7 +39,7 @@ jobs: - name: Install base deps run: | python3 -m pip install pip --upgrade - python3 -m pip install pyyaml numpy torch --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + python3 -m pip install pyyaml numpy torch --pre --extra-index-url https://download.pytorch.org/whl/nightly/cu132 ./packaging/pre_build_script.sh - name: Get HEAD SHA id: vars @@ -49,7 +49,7 @@ jobs: # Use the source-paired wheel, not a newer member of the authoring range. python3 -m pip install ".[executorch]" \ "executorch==$(python3 -c 'import yaml;print(yaml.safe_load(open("dev_dep_versions.yml"))["__executorch_version__"])')" \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 - name: Install uv run: | curl -LsSf https://astral.sh/uv/install.sh | sh diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index caff6b2f590..f538149b126 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -62,7 +62,7 @@ We use the PyTorch Slack for communication about core development, integration w ### Controlling CI scope via PR labels -**PR default:** build + L0 + L1 on a single representative config (Python 3.12 × CUDA 13.4). L2 (slow model-level suites) is opt-in on PRs. The full matrix ({Python 3.10–3.13} × {CUDA 13.0, 13.2, 13.4}) runs on main / nightly / release branches. +**PR default:** build + L0 + L1 on a single representative config (Python 3.12 × CUDA 13.4). L2 (slow model-level suites) is opt-in on PRs. The full matrix ({Python 3.10–3.13} × {CUDA 13.2, 13.4}) runs on main / nightly / release branches. Apply labels in the PR's right sidebar and re-push (or close/reopen) to re-trigger: diff --git a/docsrc/getting_started/installation.rst b/docsrc/getting_started/installation.rst index f072e01ffe9..a60849b73e4 100644 --- a/docsrc/getting_started/installation.rst +++ b/docsrc/getting_started/installation.rst @@ -46,7 +46,7 @@ Torch-TensorRT distributed nightlies targeting the PyTorch nightly. These can be .. code-block:: sh - python -m pip install --pre torch torch-tensorrt tensorrt --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + python -m pip install --pre torch torch-tensorrt tensorrt --extra-index-url https://download.pytorch.org/whl/nightly/cu132 @@ -153,7 +153,7 @@ Once the WORKSPACE has been configured properly, all that is required to build t .. code-block:: sh - python -m pip install --pre . --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + python -m pip install --pre . --extra-index-url https://download.pytorch.org/whl/nightly/cu132 If you use the ``uv`` (`https://docs.astral.sh/uv/ `_) tool to manage python and your projects, the command is slightly simpler @@ -168,7 +168,7 @@ To build the wheel file .. code-block:: sh - python -m pip wheel --no-deps --pre . --extra-index-url https://download.pytorch.org/whl/nightly/cu130 -w dist + python -m pip wheel --no-deps --pre . --extra-index-url https://download.pytorch.org/whl/nightly/cu132 -w dist Additional Build Options ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -186,7 +186,7 @@ which has implications for features like serialization. .. code-block:: sh - PYTHON_ONLY=1 python -m pip install --pre . --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + PYTHON_ONLY=1 python -m pip install --pre . --extra-index-url https://download.pytorch.org/whl/nightly/cu132 No TorchScript Frontend @@ -197,7 +197,7 @@ of C++ code that is no longer necessary for most users. Therefore you can exclud .. code-block:: sh - NO_TORCHSCRIPT=1 python -m pip install --pre . --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + NO_TORCHSCRIPT=1 python -m pip install --pre . --extra-index-url https://download.pytorch.org/whl/nightly/cu132 Building the C++ Library Standalone (TorchScript Only) @@ -277,7 +277,7 @@ Build steps * Open the app "x64 Native Tools Command Prompt for VS 2022" - note that Admin privileges may be necessary * Ensure Bazelisk (Bazel launcher) is installed on your machine and available from the command line. Package installers such as Chocolatey can be used to install Bazelisk -* Install latest version of Torch (i.e. with ``pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu130``) +* Install latest version of Torch (i.e. with ``pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu132``) * Clone the Torch-TensorRT repository and navigate to its root directory * Run ``pip install ninja wheel setuptools`` * Run ``pip install --pre -r py/requirements.txt`` diff --git a/docsrc/getting_started/tensorrt_rtx.rst b/docsrc/getting_started/tensorrt_rtx.rst index a13fedd92b8..50e220a15a4 100644 --- a/docsrc/getting_started/tensorrt_rtx.rst +++ b/docsrc/getting_started/tensorrt_rtx.rst @@ -55,7 +55,7 @@ CUDA version): .. code-block:: sh - python -m pip install --pre torch torch_tensorrt_rtx --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + python -m pip install --pre torch torch_tensorrt_rtx --extra-index-url https://download.pytorch.org/whl/nightly/cu132 Import Test diff --git a/docsrc/getting_started/windows_arm64.rst b/docsrc/getting_started/windows_arm64.rst index 52085ec7d30..2fa122cc1ea 100644 --- a/docsrc/getting_started/windows_arm64.rst +++ b/docsrc/getting_started/windows_arm64.rst @@ -173,7 +173,7 @@ and the resulting Torch-TensorRT wheel target CPython 3.13. python -m pip install numpy packaging pyyaml setuptools==72.1.0 wheel fmt build # only for run the setup.py, not use this torch wheelto build windows on arm - python -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu130 + python -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu132 # cross-build the ARM64 TensorRT-RTX wheel python setup.py bdist_wheel --use-rtx --windows-on-arm diff --git a/docsrc/user_guide/runtime_performance/saving_models.rst b/docsrc/user_guide/runtime_performance/saving_models.rst index f7736ffee85..b9fc2efd0cd 100644 --- a/docsrc/user_guide/runtime_performance/saving_models.rst +++ b/docsrc/user_guide/runtime_performance/saving_models.rst @@ -229,12 +229,12 @@ The ``executorch`` output format lowers the compiled module to an ExecuTorch ``.pte`` program, delegating the TensorRT engines to the Torch-TensorRT ExecuTorch backend. This CUDA integration links CUDA 13 libraries, so it supports Linux with any CUDA 13 PyTorch build and needs an ExecuTorch nightly wheel. Install from the -channel matching your CUDA, for example a CUDA 13.0 environment: +channel matching your CUDA, for example a CUDA 13.2 environment: .. code-block:: bash pip install --pre "torch_tensorrt[executorch]" \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 Substitute the channel for your CUDA, such as ``cu134`` for CUDA 13.4. ExecuTorch publishes a channel later than PyTorch does, so a very new CUDA minor may not have diff --git a/examples/executorch_reference_runner/README.md b/examples/executorch_reference_runner/README.md index 66c77305dcb..8f48c77323b 100644 --- a/examples/executorch_reference_runner/README.md +++ b/examples/executorch_reference_runner/README.md @@ -102,7 +102,7 @@ same channel: ```bash pip install --pre "torch-tensorrt[executorch]" \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 \ + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 \ --extra-index-url https://pypi.nvidia.com ``` diff --git a/examples/torchtrt_executorch_example/export_coalesced.py b/examples/torchtrt_executorch_example/export_coalesced.py index 31fb5291053..8423a0db717 100644 --- a/examples/torchtrt_executorch_example/export_coalesced.py +++ b/examples/torchtrt_executorch_example/export_coalesced.py @@ -45,7 +45,7 @@ Install Torch-TensorRT with the ExecuTorch extra before running this example:: pip install -e ".[executorch]" \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 ExecuTorch's CUDA backend also needs a CUDA toolkit (``nvcc``) at export time, for the AOTInductor compile. diff --git a/examples/torchtrt_executorch_example/export_device_resident.py b/examples/torchtrt_executorch_example/export_device_resident.py index b070d976342..436976c3db4 100644 --- a/examples/torchtrt_executorch_example/export_device_resident.py +++ b/examples/torchtrt_executorch_example/export_device_resident.py @@ -60,7 +60,7 @@ Install Torch-TensorRT with the ExecuTorch extra before running this example:: pip install -e ".[executorch]" \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 ExecuTorch's CUDA backend also needs a CUDA toolkit (``nvcc``) at export time, for the AOTInductor compile. diff --git a/examples/torchtrt_executorch_example/export_dynamic_shape.py b/examples/torchtrt_executorch_example/export_dynamic_shape.py index bbafe73e930..37ab114abac 100644 --- a/examples/torchtrt_executorch_example/export_dynamic_shape.py +++ b/examples/torchtrt_executorch_example/export_dynamic_shape.py @@ -20,7 +20,7 @@ Install Torch-TensorRT with the ExecuTorch extra before running this example:: pip install -e ".[executorch]" \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 See https://pytorch.org/executorch/stable/getting-started-setup.html for details. """ diff --git a/examples/torchtrt_executorch_example/export_kv_cache_decode.py b/examples/torchtrt_executorch_example/export_kv_cache_decode.py index 3066489db8a..3586d3e3a78 100644 --- a/examples/torchtrt_executorch_example/export_kv_cache_decode.py +++ b/examples/torchtrt_executorch_example/export_kv_cache_decode.py @@ -32,7 +32,7 @@ Install Torch-TensorRT with the ExecuTorch extra before running this example:: pip install -e ".[executorch]" \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 """ import argparse diff --git a/examples/torchtrt_executorch_example/export_static_shape.py b/examples/torchtrt_executorch_example/export_static_shape.py index 51a427640c7..76e15372085 100644 --- a/examples/torchtrt_executorch_example/export_static_shape.py +++ b/examples/torchtrt_executorch_example/export_static_shape.py @@ -16,7 +16,7 @@ Install Torch-TensorRT with the ExecuTorch extra before running this example:: pip install -e ".[executorch]" \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 See https://pytorch.org/executorch/stable/getting-started-setup.html for details. """ diff --git a/justfile b/justfile index 8c726dd8df3..c0e8faa598a 100644 --- a/justfile +++ b/justfile @@ -90,18 +90,18 @@ summary *args: # Added without a rebuild via `uv pip install --group` (sidesteps the # test-ext↔quantization `uv sync` lockfile conflict). Run before `just lane full`. -# Install optional test deps for Linux with the project's CUDA 13.0 (cu130) default. +# Install optional test deps for Linux with the project's CUDA 13.2 (cu132) default. install-test-ext: uv pip install --group test-ext --group kernels --group quantization # ExecuTorch's CUDA wheels are only on the PyTorch nightly index, so the channel is needed. # No --pre: a specifier naming a prerelease admits prereleases by itself, and --pre would - # apply to pyyaml here too. cu130 matches the torch index this project resolves against by + # apply to pyyaml here too. cu132 matches the torch index this project resolves against by # default. # # Exact, not a range: the nightly channel gains a member every day, and the delegate is # compiled from the commit this version pairs with. uv pip install pyyaml patchelf \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 \ + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 \ "executorch==1.6.0.dev20260925" # ── Linting ─────────────────────────────────────────────────────────────────── diff --git a/py/torch-tensorrt-executorch-runtime/README.md b/py/torch-tensorrt-executorch-runtime/README.md index 1a6a638e0de..e5883467e47 100644 --- a/py/torch-tensorrt-executorch-runtime/README.md +++ b/py/torch-tensorrt-executorch-runtime/README.md @@ -109,12 +109,12 @@ and leave the backend unregistered. The wheel must use the same Python, PyTorch, ExecuTorch, CUDA, TensorRT, and C++ ABI as its matching Torch-TensorRT wheel. This delegate requires CUDA 13; -the build matrix currently covers `cu130`, `cu132` and `cu134`, on both architectures. Ordinary Torch-TensorRT +the build matrix currently covers `cu132` and `cu134`, on both architectures. Ordinary Torch-TensorRT release and JetPack builds retain their separate CUDA 12 support. ## Install One command. The `executorch` extra brings this wheel and a CUDA build of ExecuTorch, and -Torch-TensorRT brings PyTorch. Swap `cu132` for the CUDA 13 channel you run, `cu130` or `cu134`: +Torch-TensorRT brings PyTorch. Swap `cu132` for `cu134` if you run CUDA 13.4: ```bash python -m pip install --pre "torch-tensorrt[executorch]" \ --index-url https://download.pytorch.org/whl/nightly/cu132 \ @@ -384,7 +384,7 @@ index applies to the whole dependency solve. ```bash python -m pip install dist/torch_tensorrt_executorch_runtime-*.whl \ - --extra-index-url https://download.pytorch.org/whl/nightly/cu130 + --extra-index-url https://download.pytorch.org/whl/nightly/cu132 ``` ```python diff --git a/pyproject.toml b/pyproject.toml index 4b5ec6f9ad4..ff928e609a9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -217,15 +217,15 @@ constraint-dependencies = [ [tool.uv.sources] torch = [ - { index = "pytorch-nightly-cu130" }, + { index = "pytorch-nightly-cu132" }, ] torchvision = [ - { index = "pytorch-nightly-cu130" }, + { index = "pytorch-nightly-cu132" }, ] [[tool.uv.index]] -name = "pytorch-nightly-cu130" -url = "https://download.pytorch.org/whl/nightly/cu130" +name = "pytorch-nightly-cu132" +url = "https://download.pytorch.org/whl/nightly/cu132" explicit = false [[tool.uv.index]] @@ -234,8 +234,8 @@ url = "https://download.pytorch.org/whl/nightly/cu128" explicit = false [[tool.uv.index]] -name = "pytorch-test-cu130" -url = "https://download.pytorch.org/whl/test/cu130" +name = "pytorch-test-cu132" +url = "https://download.pytorch.org/whl/test/cu132" explicit = false [[tool.uv.index]] @@ -244,8 +244,8 @@ url = "https://download.pytorch.org/whl/test/cu128" explicit = false [[tool.uv.index]] -name = "pytorch-release-cu130" -url = "https://download.pytorch.org/whl/release/cu130" +name = "pytorch-release-cu132" +url = "https://download.pytorch.org/whl/release/cu132" explicit = false [[tool.uv.index]] diff --git a/tests/py/dynamo/executorch/test_shared_runtime_workflow.py b/tests/py/dynamo/executorch/test_shared_runtime_workflow.py index d17d97911d6..670381ac8dd 100644 --- a/tests/py/dynamo/executorch/test_shared_runtime_workflow.py +++ b/tests/py/dynamo/executorch/test_shared_runtime_workflow.py @@ -609,9 +609,9 @@ def kept(rows, *flags): rows = [ {"desired_cuda": cuda, "python_version": "3.10", "gpu_arch_type": "cuda"} - for cuda in ("cu126", "cu130", "cu134") + for cuda in ("cu126", "cu132", "cu134") ] - assert kept(rows, "--executorch-runtime") == {"cu130", "cu134"} + assert kept(rows, "--executorch-runtime") == {"cu132", "cu134"} # A row the other rules keep, so only the flag can drop it. Every row those rules keep on x86 # and on Arm is already CUDA 13, so the assertion above held with the flag's branch deleted and # could not see it. diff --git a/tests/py/dynamo/executorch/test_update_executorch_pin.py b/tests/py/dynamo/executorch/test_update_executorch_pin.py index edeb647a50b..e746f1db856 100644 --- a/tests/py/dynamo/executorch/test_update_executorch_pin.py +++ b/tests/py/dynamo/executorch/test_update_executorch_pin.py @@ -175,7 +175,7 @@ def test_upper_bound(version, expected): assert updater._upper_bound(version) == expected -@pytest.mark.parametrize("channel", ["cu126", "cu128", "cu14", "cpu", "cu13"]) +@pytest.mark.parametrize("channel", ["cu126", "cu128", "cu130", "cu14", "cpu", "cu13"]) @pytest.mark.unit def test_main_rejects_unsupported_channels(monkeypatch, channel): monkeypatch.setattr( @@ -186,7 +186,7 @@ def test_main_rejects_unsupported_channels(monkeypatch, channel): assert error.value.code == 2 -@pytest.mark.parametrize("channel", ["cu130", "cu132", "cu134"]) +@pytest.mark.parametrize("channel", ["cu132", "cu134"]) @pytest.mark.unit def test_main_uses_selected_channel(monkeypatch, channel): calls = [] @@ -236,8 +236,8 @@ def test_main_refuses_a_version_missing_from_an_accepted_channel(monkeypatch): def test_main_adopts_a_version_present_in_every_channel_despite_its_label(monkeypatch): """The channels label the same build differently, so comparison must ignore the label. - This is the case the index actually produces: one version, three spellings. Comparing the - raw strings finds no overlap at all and rejects every candidate. + This is the case the index actually produces: one version, one spelling per channel. Comparing + the raw strings finds no overlap at all and rejects every candidate. """ accepted = updater.delegate_channels() per_channel = {ch: [f"1.0.dev1+{ch}", f"1.0.dev2+{ch}"] for ch in accepted} diff --git a/uv.lock b/uv.lock index 31b3f2d1444..d62bd3c7f47 100644 --- a/uv.lock +++ b/uv.lock @@ -54,9 +54,9 @@ version = "1.14.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "huggingface-hub", marker = "python_full_version < '3.14'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version >= '3.12' and python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version < '3.12' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version >= '3.12' and python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version < '3.12' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "packaging", marker = "python_full_version < '3.14'" }, { name = "psutil", marker = "python_full_version < '3.14'" }, { name = "pyyaml", marker = "python_full_version < '3.14'" }, @@ -195,7 +195,7 @@ wheels = [ [[package]] name = "aiosignal" version = "1.4.0" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } dependencies = [ { name = "frozenlist", marker = "python_full_version < '3.14'" }, { name = "typing-extensions", marker = "python_full_version < '3.13'" }, @@ -234,7 +234,7 @@ wheels = [ [[package]] name = "antlr4-python3-runtime" version = "4.9.3" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } sdist = { url = "https://download.pytorch.org/whl/nightly/antlr4_python3_runtime-4.9.3.tar.gz", upload-time = "2024-04-29T22:49:52Z" } [[package]] @@ -674,7 +674,7 @@ wheels = [ [[package]] name = "colorama" version = "0.4.6" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } wheels = [ { url = "https://download.pytorch.org/whl/nightly/colorama-0.4.6-py2.py3-none-any.whl", upload-time = "2023-03-09T15:42:50Z" }, ] @@ -686,9 +686,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "attrs", marker = "(python_full_version < '3.14' and sys_platform != 'win32') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "cattrs", marker = "(python_full_version < '3.14' and sys_platform != 'win32') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version < '3.11' and 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or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'win32') or (python_full_version < '3.12' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "packaging", marker = "(python_full_version < '3.14' and sys_platform != 'win32') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "protobuf", marker = "(python_full_version < '3.14' and sys_platform != 'win32') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "pyaml", marker = "(python_full_version < '3.14' and sys_platform != 'win32') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, @@ -706,7 +706,7 @@ wheels = [ [[package]] name = "cuda-bindings" version = "13.2.0" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } dependencies = [ { name = "cuda-pathfinder" }, ] @@ -738,9 +738,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "backports-strenum", marker = "python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "cuda-pathfinder" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version == '3.11.*' or (extra == 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"python_full_version >= '3.12' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/18/f9/62f425db537cad6c9018ecf102d2b4786200dc62e8b815c0b7367822bb0e/cuda_core-1.2.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23073bfe5087d55b6b3e674481b546efb3bfe106642a868972084b95b7860e7b", size = 6179095, upload-time = "2026-09-03T00:12:18.629Z" }, @@ -766,7 +766,7 @@ wheels = [ [[package]] name = "cuda-pathfinder" version = "1.8.1" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } wheels = [ { url = "https://files.pythonhosted.org/packages/9d/e6/22df83f82f9bc26cb1c42265cf14d34d4908dba2a0f261bd7b28244acb00/cuda_pathfinder-1.8.1-py3-none-any.whl", hash = "sha256:ae0137ff9e56ea97499bcbf54f5f2778ec25f3266715ac86da192a795af982a8" }, ] @@ -813,10 +813,10 @@ wheels = [ [[package]] name = "cuda-toolkit" -version = "13.0.3.0" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +version = "13.2.2" +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } wheels = [ - { url = "https://pypi.nvidia.com/cuda-toolkit/cuda_toolkit-13.0.3.0-py2.py3-none-any.whl", hash = "sha256:d693caaa261214ddd7dbb60d68e71cbed884e68c2be7509778f3051da0b91c3f" }, + { url = "https://pypi.nvidia.com/cuda-toolkit/cuda_toolkit-13.2.2-py2.py3-none-any.whl", hash = "sha256:d12edc1aad1356236a2ee10c0d794b1aff5d3e79bfeca54867c3bb8e5afd87b0" }, ] [package.optional-dependencies] @@ -864,13 +864,13 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "dill", marker = "python_full_version < '3.14'" }, { name = "filelock", marker = "python_full_version < '3.14'" }, - { name = "fsspec", version = "2026.6.0", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, extra = ["http"], marker = 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"(python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version >= '3.12' and python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version < '3.12' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 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'win32'" }, { name = "msgpack", marker = "python_full_version < '3.14' and sys_platform != 'win32'" }, { name = "ninja", marker = "python_full_version < '3.14' and sys_platform != 'win32'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version < '3.11' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version >= '3.11' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version != '3.11.*' and extra == 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}, marker = "(python_full_version < '3.11' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version >= '3.11' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = 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"huggingface-hub", marker = "python_full_version < '3.14'" }, { name = "importlib-metadata", marker = "python_full_version < '3.14'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version >= '3.12' and python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') 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'3.14' and platform_machine == 'x86_64' and sys_platform != 'win32') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (platform_machine != 'x86_64' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "expecttest", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, @@ -1015,9 +1015,9 @@ dependencies = [ { name = "hypothesis", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "kgb", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = 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and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version >= '3.12' and sys_platform != 'win32') or (python_full_version < '3.12' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version < '3.11' and sys_platform != 'win32') or (python_full_version >= '3.11' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version >= '3.12' and sys_platform != 'win32') or (python_full_version < '3.12' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-cuda-runtime", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 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"https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } sdist = { url = "https://files.pythonhosted.org/packages/0a/a0/50c2c0ce5e74d7721bbb1b19a26ebd339aac5878553a6e35308c2f31f935/filelock-3.32.5.tar.gz", hash = "sha256:f6a6a28f743f9b95ce19db5abe0f376f75eb56517dff21e1a4751e2657d3e83d" } wheels = [ { url = "https://files.pythonhosted.org/packages/36/d2/b70a31e13d04456d28493f31d2aa087e99eeb2767ef0293b2625727ccb8c/filelock-3.32.5-py3-none-any.whl", hash = "sha256:142cd9fa77a872c5e78c62329a0d15278fadc686eb89e760017968961a4fd6b2" }, @@ -1105,8 +1104,8 @@ dependencies = [ { name = "einops", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "nccl4py", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "ninja", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-cudnn-frontend", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "nvidia-cutlass-dsl", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "nvidia-ml-py", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, @@ -1218,7 +1217,7 @@ wheels = [ [[package]] name = "fsspec" version = "2026.6.0" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } resolution-markers = [ "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'linux'", "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'AMD64' and sys_platform == 'win32'", @@ -1240,7 +1239,7 @@ http = [ [[package]] name = "fsspec" version = "2026.7.0" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } resolution-markers = [ "python_full_version >= '3.14' and sys_platform == 'linux' and extra != 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext'", "python_full_version >= '3.14' and sys_platform == 'linux' and extra == 'group-14-torch-tensorrt-quantization' and extra != 'group-14-torch-tensorrt-test-ext'", @@ -1279,7 +1278,7 @@ wheels = [ [[package]] name = "h11" version = "0.16.0" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } wheels = [ { url = "https://download.pytorch.org/whl/nightly/h11-0.16.0-py3-none-any.whl", upload-time = "2025-09-17T03:11:08Z" }, ] @@ -1314,7 +1313,7 @@ wheels = [ [[package]] name = "httpcore" version = "1.0.9" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } dependencies = [ { name = "certifi", marker = "(python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or sys_platform != 'win32' or extra == 'group-14-torch-tensorrt-test-ext'" }, { name = "h11", marker = "(python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or sys_platform != 'win32' or extra == 'group-14-torch-tensorrt-test-ext'" }, @@ -1326,7 +1325,7 @@ wheels = [ [[package]] name = "httpx" version = "0.28.1" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } dependencies = [ { name = "anyio", marker = "(python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or sys_platform != 'win32' or extra == 'group-14-torch-tensorrt-test-ext'" }, { name = "certifi", marker = "(python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or sys_platform != 'win32' or extra == 'group-14-torch-tensorrt-test-ext'" }, @@ -1344,8 +1343,8 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "click", marker = "(python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or sys_platform != 'win32' or extra == 'group-14-torch-tensorrt-test-ext'" }, { name = "filelock", marker = "(python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or sys_platform != 'win32' or extra == 'group-14-torch-tensorrt-test-ext'" }, - { name = "fsspec", version = "2026.6.0", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "fsspec", version = "2026.7.0", source = { 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"mistune" }, { name = "nbclient" }, { name = "nbformat" }, @@ -2238,8 +2237,8 @@ source = { registry = "https://pypi.nvidia.com/" } dependencies = [ { name = "cuda-core", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "cuda-pathfinder", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = 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registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "packaging", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, ] wheels = [ @@ -2260,7 +2259,7 @@ wheels = [ [[package]] name = "networkx" version = "3.4.2" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } resolution-markers = [ "python_full_version < '3.11' and sys_platform == 'linux'", "python_full_version < '3.11' and platform_machine == 'AMD64' and sys_platform == 'win32'", @@ -2273,7 +2272,7 @@ wheels = [ [[package]] name = "networkx" version = "3.6.1" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } resolution-markers = [ "python_full_version >= '3.14' and sys_platform == 'linux' and extra != 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext'", "python_full_version >= '3.14' and sys_platform == 'linux' and extra == 'group-14-torch-tensorrt-quantization' and extra != 'group-14-torch-tensorrt-test-ext'", @@ -2351,7 +2350,7 @@ wheels = [ [[package]] name = "numpy" version = "2.2.6" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } resolution-markers = [ "python_full_version < '3.11' and sys_platform == 'linux'", "python_full_version < '3.11' and platform_machine == 'AMD64' and sys_platform == 'win32'", @@ -2390,7 +2389,7 @@ wheels 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dependencies = [ { name = "cuda-python", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-cuda-nvdisasm", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "nvidia-cutlass-dsl-libs-core", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "protobuf", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, @@ -2672,8 +2681,8 @@ version = "4.7.1" source = { registry = "https://pypi.nvidia.com/" } dependencies = [ { name = "cuda-python", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-cuda-nvdisasm", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "protobuf", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "typing-extensions", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, @@ -2688,8 +2697,8 @@ version = "4.7.1" source = { registry = "https://pypi.nvidia.com/" } dependencies = [ { name = "cuda-python", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.11.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.12.*' and sys_platform != 'win32' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version != '3.12.*' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-cuda-nvdisasm", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "nvidia-cutlass-dsl-libs-base", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, { name = "protobuf", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'win32'" }, @@ -2725,9 +2734,9 @@ version = "0.46.0" source = { registry = "https://pypi.nvidia.com/" } dependencies = [ { name = "ninja", marker = "python_full_version < '3.14'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version >= '3.12' and python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version < '3.12' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version >= '3.12' and python_full_version < '3.14' and extra == 'group-14-torch-tensorrt-quantization') or (python_full_version < '3.12' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-ml-py", marker = "python_full_version < '3.14'" }, { name = "omegaconf", marker = "python_full_version < '3.14'" }, { name = "packaging", marker = "python_full_version < '3.14'" }, @@ -2766,7 +2775,7 @@ hf = [ [[package]] name = "nvidia-nccl-cu13" version = "2.30.7" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } wheels = [ { url = "https://pypi.nvidia.com/nvidia-nccl-cu13/nvidia_nccl_cu13-2.30.7-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:ca786ffa5a647c75d4d1f5cc72a6c4f537947e2ba8823d7c8aaf768e7a7b9f77" }, { url = "https://pypi.nvidia.com/nvidia-nccl-cu13/nvidia_nccl_cu13-2.30.7-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:cefa7fdb9710efd0f39c5f1be1d61ff6fc9a996c451265bd7fbdcf9455ed4b50" }, @@ -2775,7 +2784,7 @@ wheels = [ [[package]] name = "nvidia-nvjitlink" version = "13.3.33" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } wheels = [ { url = "https://pypi.nvidia.com/nvidia-nvjitlink/nvidia_nvjitlink-13.3.33-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:26a6de7fb4c8fdaa7703d3dad720d6d427ddfea5c48a528fd97c11733ad830e5" }, { url = "https://pypi.nvidia.com/nvidia-nvjitlink/nvidia_nvjitlink-13.3.33-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ce48b37dfeb3cb1eae4cf85adacb47d7a6539ea2272870c9a3628ce275c2037e" }, @@ -2784,21 +2793,24 @@ wheels = [ [[package]] name = "nvidia-nvshmem-cu13" -version = "3.4.5" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +version = "3.7.2" +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } +dependencies = [ + { name = "nvidia-cuda-cccl", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, +] wheels = [ - { url = "https://pypi.nvidia.com/nvidia-nvshmem-cu13/nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6dc2a197f38e5d0376ad52cd1a2a3617d3cdc150fd5966f4aee9bcebb1d68fe9" }, - { url = "https://pypi.nvidia.com/nvidia-nvshmem-cu13/nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:290f0a2ee94c9f3687a02502f3b9299a9f9fe826e6d0287ee18482e78d495b80" }, + { url = "https://pypi.nvidia.com/nvidia-nvshmem-cu13/nvidia_nvshmem_cu13-3.7.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0e748308b9e0a8a8d81859353f3e6c98fbe85a85f652a915a2ba60149a0bd124" }, + { url = "https://pypi.nvidia.com/nvidia-nvshmem-cu13/nvidia_nvshmem_cu13-3.7.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b9a4f843c62b5dded8ad33fd6d220e007dcd39f06cee549292f5ba14ce4c235c" }, ] [[package]] name = "nvidia-nvtx" -version = "13.0.85" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +version = "13.2.86" +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } wheels = [ - { url = "https://pypi.nvidia.com/nvidia-nvtx/nvidia_nvtx-13.0.85-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:4936d1d6780fbe68db454f5e72a42ff64d1fd6397df9f363ae786930fd5c1cd4" }, - { url = "https://pypi.nvidia.com/nvidia-nvtx/nvidia_nvtx-13.0.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cb7780edb6b14107373c835bf8b72e7a178bac7367e23da7acb108f973f157a6" }, - { url = "https://pypi.nvidia.com/nvidia-nvtx/nvidia_nvtx-13.0.85-py3-none-win_amd64.whl", hash = "sha256:d66ea44254dd3c6eacc300047af6e1288d2269dd072b417e0adffbf479e18519" }, + { url = "https://pypi.nvidia.com/nvidia-nvtx/nvidia_nvtx-13.2.86-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:968ce72baee2a01791c7d3254000eac81f24677b0b91c62d21b449a1f309c245" }, + { url = "https://pypi.nvidia.com/nvidia-nvtx/nvidia_nvtx-13.2.86-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:1c6ae1be92fba569dd271f7b9b3056f99f5642726dc6c53d1b93ae4110c398fb" }, + { url = "https://pypi.nvidia.com/nvidia-nvtx/nvidia_nvtx-13.2.86-py3-none-win_amd64.whl", hash = "sha256:7f3f430a87bb1e2db3371832d21a5c1efcf77bef7cacfd772fd71649e121cd58" }, ] [[package]] @@ -2832,7 +2844,7 @@ resolution-markers = [ "python_full_version < '3.11' and platform_machine == 'AMD64' and sys_platform == 'win32'", ] dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version < '3.11' and sys_platform != 'win32') or (python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version < '3.11' and sys_platform != 'win32') or (python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-quantization') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "python-dateutil", marker = "(python_full_version < '3.11' and sys_platform != 'win32') or 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marker = "python_full_version >= '3.14' or extra != 'group-14-torch-tensorrt-quantization' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "jinja2" }, - { name = "networkx", version = "3.4.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "networkx", version = "3.6.1", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version >= '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "networkx", version = "3.4.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "networkx", version = "3.6.1", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "python_full_version >= '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-cudnn-cu13", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-cusparselt-cu13", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-nccl-cu13", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, @@ -4721,24 +4720,21 @@ dependencies = [ { name = "typing-extensions" }, ] wheels = [ - { url = "https://download-r2.pytorch.org/whl/nightly/cu130/torch-2.15.0.dev20260903%2Bcu130-cp310-cp310-manylinux_2_28_aarch64.whl", 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}, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "python_full_version == '3.11.*' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "python_full_version >= '3.12' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "packaging" }, { name = "psutil" }, { name = "tensorrt", marker = "(platform_machine == 'aarch64' and sys_platform != 'win32') or (platform_machine != 'aarch64' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext') or (sys_platform == 'win32' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, @@ -4780,11 +4776,11 @@ dev = [ { name = "expecttest" }, { name = "isort" }, { name = "mypy" }, - { name = "networkx", version = "3.4.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "networkx", version = "3.6.1", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version >= '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version == '3.11.*' or (extra == 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"python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "python_full_version == '3.11.*' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "python_full_version >= '3.12' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "packaging" }, { name = "parameterized" }, { name = "patchelf", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, @@ -4831,11 +4827,11 @@ quantization = [ ] test = [ { name = "expecttest" }, - { name = "networkx", version = "3.4.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "networkx", version = "3.6.1", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version >= '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version < '3.11' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version == '3.11.*' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = 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'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "python_full_version == '3.11.*' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "python_full_version >= '3.12' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "parameterized" }, { name = "pytest" }, { name = "pytest-forked" }, @@ -4863,7 +4859,7 @@ requires-dist = [ { name = "tensorrt-cu13", marker = "platform_machine != 'aarch64' or sys_platform != 'linux'", specifier = ">=11.3.0,<11.4.0" }, { name = "tensorrt-cu13-bindings", marker = "platform_machine != 'aarch64' or sys_platform != 'linux'", specifier = ">=11.3.0,<11.4.0" }, { name = "tensorrt-cu13-libs", marker = "platform_machine != 'aarch64' or sys_platform != 'linux'", specifier = ">=11.3.0,<11.4.0" }, - { name = "torch", specifier = ">=2.15.0.dev0,<2.16.0", index = "https://download.pytorch.org/whl/nightly/cu130" }, + { name = "torch", specifier = ">=2.15.0.dev0,<2.16.0", index = "https://download.pytorch.org/whl/nightly/cu132" }, { name = "torch-tensorrt-executorch-runtime", marker = "sys_platform == 'linux' and extra == 'all'" }, { name = "torch-tensorrt-executorch-runtime", marker = "sys_platform == 'linux' and extra == 'executorch'" }, { name = "typing-extensions", specifier = ">=4.7.0" }, @@ -4946,14 +4942,14 @@ test = [ test-ext = [ { name = "flashinfer-python", marker = "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'linux'" }, { name = "timm", specifier = ">=1.0.3" }, - { name = "torchvision", specifier = ">=0.30.0.dev0,<0.31.0", index = "https://download.pytorch.org/whl/nightly/cu130" }, + { name = "torchvision", specifier = ">=0.30.0.dev0,<0.31.0", index = "https://download.pytorch.org/whl/nightly/cu132" }, { name = "transformers", specifier = ">=5.14.1" }, ] [[package]] name = "torch-tensorrt-executorch-runtime" -version = "0.2.0.dev20260923+cu130" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +version = "0.2.0.dev20261003+cu132" +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } dependencies = [ { name = "executorch", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "nvidia-cuda-runtime", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, @@ -4961,8 +4957,8 @@ dependencies = [ { name = "torch", marker = "sys_platform != 'win32' or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, ] wheels = [ - { url = 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== 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-test-ext') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version == '3.11.*' and extra == 'group-14-torch-tensorrt-test-ext') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, + { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version >= '3.12' and extra == 'group-14-torch-tensorrt-test-ext') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, { name = "pillow" }, { name = 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= "python_full_version < '3.14'" }, { name = "pyyaml", marker = "python_full_version < '3.14'" }, { name = "regex", marker = "python_full_version < '3.14'" }, @@ -5087,9 +5080,9 @@ resolution-markers = [ ] dependencies = [ { name = "huggingface-hub" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version < '3.11' and extra == 'group-14-torch-tensorrt-test-ext') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "(python_full_version == '3.11.*' and extra == 'group-14-torch-tensorrt-test-ext') or (extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, - { name = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = 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