From a46aa84023ea9346482edf77ececb1cfed0dab58 Mon Sep 17 00:00:00 2001 From: shoumikhin Date: Fri, 2 Oct 2026 19:29:48 -0700 Subject: [PATCH] Drop cu130 from the CUDA build matrix PyTorch announced that it is removing CUDA 13.0 (cu130) from its nightly builds, and asked anyone who pins cu130 to move to cu132. The cu130 test channel is already gone. Linux cu130 nightlies came back on October 3, but only as a short-term hold for one downstream project, not as a supported channel. ExecuTorch follows PyTorch, so its cu130 wheels lag behind too. The build matrix still listed cu130. That has two effects. The matrix keeps building a channel PyTorch is retiring. And the daily job that moves the ExecuTorch pin forward needs a version that every listed channel has, so a lagging cu130 holds the pin back. This removes cu130 from the x86 and Arm CUDA lists in the matrix filter. The pin job reads the same lists, so the pin can move to the newest version that cu132 and cu134 share. Release wheels follow the same lists, so cu130 release wheels are dropped as well. The C++ tarballs keep cu130, because libtorch still ships it. Once the pin can move past cu130, anything that installs the pinned ExecuTorch from the cu130 index would break. So the places that still use cu130 move to cu132: - the docs workflow, which installs the pin on every push to main - the install-test-ext recipe in the justfile - the runtime wheel README - the default PyTorch index in pyproject.toml, with uv.lock regenerated - the install guides, the contributing guide and the example install hints A test now checks that the pin job rejects cu130, so putting it back in the lists fails a test. The Jetson cu126 path is unchanged. Test plan: - Ran the pin, pin update, shared runtime workflow, API and packaging test suites. The new cu130 rejection case fails when cu130 is put back in the lists. - Dry-ran the docs, justfile and README install commands for Linux. With a pin that only cu132 and cu134 have, they fail against cu130 and resolve against cu132. - Regenerated uv.lock with the uv version CI uses, on Linux, and checked it with `uv lock --check`. --- .github/scripts/filter-matrix.py | 4 +- .github/scripts/generate-release-matrix.py | 3 +- .github/workflows/docgen.yml | 12 +- CONTRIBUTING.md | 2 +- docsrc/getting_started/installation.rst | 12 +- docsrc/getting_started/tensorrt_rtx.rst | 2 +- docsrc/getting_started/windows_arm64.rst | 2 +- .../runtime_performance/saving_models.rst | 4 +- .../executorch_reference_runner/README.md | 2 +- .../export_coalesced.py | 2 +- .../export_device_resident.py | 2 +- .../export_dynamic_shape.py | 2 +- .../export_kv_cache_decode.py | 2 +- .../export_static_shape.py | 2 +- justfile | 6 +- .../README.md | 6 +- pyproject.toml | 16 +- .../test_shared_runtime_workflow.py | 4 +- .../executorch/test_update_executorch_pin.py | 8 +- uv.lock | 539 +++++++++--------- 20 files changed, 307 insertions(+), 325 deletions(-) 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 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/cu130" }, 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/cu130" }, 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 = "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 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 == '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' 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' 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')" }, ] 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 = "(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 = "2026.6.0", source = { registry = "https://download.pytorch.org/whl/nightly/cu132" }, extra = ["http"], 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 = "httpx", marker = "python_full_version < '3.14'" }, { name = "huggingface-hub", marker = "python_full_version < '3.14'" }, { name = "multiprocess", 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 = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, 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 = "pandas", version = "3.0.5", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and python_full_version < '3.14' 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 (python_full_version >= '3.14' and extra == 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext')" }, @@ -894,9 +894,9 @@ dependencies = [ { name = "hjson", marker = "python_full_version < '3.14' and sys_platform != '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 == '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 python_full_version < '3.14' and sys_platform != 'win32' 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') 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' 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 = "https://download.pytorch.org/whl/nightly/cu132" }, marker = "(python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'win32' 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') 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'" }, { name = "psutil", marker = "python_full_version < '3.14' and sys_platform != 'win32'" }, { name = "py-cpuinfo", marker = "python_full_version < '3.14' and sys_platform != 'win32'" }, @@ -924,9 +924,9 @@ dependencies = [ { name = "httpx", marker = "python_full_version < '3.14'" }, { name = "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') 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 = "pillow", marker = "python_full_version < '3.14'" }, { name = "regex", marker = "python_full_version < '3.14'" }, { name = "requests", marker = "python_full_version < '3.14'" }, @@ -1005,8 +1005,8 @@ wheels = [ [[package]] name = "executorch" -version = "1.6.0.dev20260915+cu130" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +version = "1.6.0.dev20260925+cu132" +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } dependencies = [ { name = "coremltools", marker = "(python_full_version < '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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= "2025.9.1" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } dependencies = [ { name = "referencing" }, ] @@ -1810,7 +1809,7 @@ wheels = [ [[package]] name = "markupsafe" version = "3.0.2" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } resolution-markers = [ "python_full_version == '3.13.*' and sys_platform == 'linux' and extra != 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext'", "python_full_version == '3.12.*' and sys_platform == 'linux' and extra != 'group-14-torch-tensorrt-quantization' and extra == 'group-14-torch-tensorrt-test-ext'", @@ -1858,7 +1857,7 @@ wheels = [ [[package]] name = "markupsafe" version = "3.0.3" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +source = { registry = 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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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= [ - { url = "https://pypi.nvidia.com/nvidia-cusparse/nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:80bcc4662f23f1054ee334a15c72b8940402975e0eab63178fc7e670aa59472c" }, - { url = "https://pypi.nvidia.com/nvidia-cusparse/nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2b3c89c88d01ee0e477cb7f82ef60a11a4bcd57b6b87c33f789350b59759360b" }, - { url = "https://pypi.nvidia.com/nvidia-cusparse/nvidia_cusparse-12.6.3.3-py3-none-win_amd64.whl", hash = "sha256:cbcf42feb737bd7ec15b4c0a63e62351886bd3f975027b8815d7f720a2b5ea79" }, + { url = "https://pypi.nvidia.com/nvidia-cusparse/nvidia_cusparse-12.7.10.12-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:597eff2cd83e3ab1d1e3a0dce9c9c879d77cf64ec2659bfdb5af6a5d02e7aaa9" }, + { url = "https://pypi.nvidia.com/nvidia-cusparse/nvidia_cusparse-12.7.10.12-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:25907c75e4db1581685f06f61cc6cdecc04611765516a52373e0a18ebd69fa00" }, + { url = "https://pypi.nvidia.com/nvidia-cusparse/nvidia_cusparse-12.7.10.12-py3-none-win_amd64.whl", hash = "sha256:6b1e82056a0865c5b4f5da6adbebb15244e9a2b8aeea0838a9cf725e16523c53" }, ] [[package]] name = "nvidia-cusparselt-cu13" version = "0.8.1" -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-cusparselt-cu13/nvidia_cusparselt_cu13-0.8.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4dca476c50bf4780d46cd0bfbd82e2bc10a08e4fef7950917ce8d7578d22a23f" }, { url = "https://pypi.nvidia.com/nvidia-cusparselt-cu13/nvidia_cusparselt_cu13-0.8.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:786ce87568c303fadb5afcc7102d454cd3040d75f6f8626f5db460d1871f4dd0" }, @@ -2644,8 +2653,8 @@ 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-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 = 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[[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 = 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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" 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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 = "numpy", version = "2.5.2", source = { registry = "https://download.pytorch.org/whl/nightly/cu130" }, marker = "python_full_version >= '3.12' 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 = "numpy", version = "2.2.6", 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 = "2.4.6", 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 = "https://download.pytorch.org/whl/nightly/cu130/torch_tensorrt_executorch_runtime-0.2.0.dev20260923%2Bcu130-py3-none-manylinux_2_28_x86_64.whl", upload-time = "2026-09-23T12:17:49Z" }, - { url = "https://download.pytorch.org/whl/nightly/cu130/torch_tensorrt_executorch_runtime-0.2.0.dev20260923%2Bcu130-py3-none-manylinux_2_35_aarch64.whl", upload-time = "2026-09-23T12:03:07Z" }, + { url = "https://download.pytorch.org/whl/nightly/cu132/torch_tensorrt_executorch_runtime-0.2.0.dev20261003%2Bcu132-py3-none-manylinux_2_28_x86_64.whl", upload-time = "2026-10-03T13:43:13Z" }, + { url = "https://download.pytorch.org/whl/nightly/cu132/torch_tensorrt_executorch_runtime-0.2.0.dev20261003%2Bcu132-py3-none-manylinux_2_35_aarch64.whl", upload-time = "2026-10-03T13:36:17Z" }, ] [[package]] @@ -4976,34 +4972,31 @@ wheels = [ [[package]] name = "torchvision" -version = "0.30.0.dev20260904+cu130" -source = { registry = "https://download.pytorch.org/whl/nightly/cu130" } +version = "0.30.0.dev20261004+cu132" +source = { registry = "https://download.pytorch.org/whl/nightly/cu132" } dependencies = [ - { 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 = "(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 = "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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