edgefirst-tensor

Zero-copy tensor memory for edge AI inference pipelines — DMA-BUF, IOSurface, AHardwareBuffer, OpenGL PBO, POSIX shared memory and heap behind one Python API.

Part of the EdgeFirst HAL

edgefirst-tensor is one of five Python packages built from the EdgeFirst Hardware Abstraction Layer.

The EdgeFirstAI/hal repository is the home for all of them — source, issue tracker, architecture documentation and release notes.

Package	Provides
`edgefirst-tensor`	Zero-copy tensor allocation and host/GPU/CUDA mapping (this package)
`edgefirst-codec`	JPEG and PNG decoding directly into pre-allocated tensors
`edgefirst-image`	GPU-accelerated colour conversion, resize, letterbox, tiling and drawing
`edgefirst-decoder`	YOLO and ModelPack output decoding
`edgefirst-tracker`	ByteTrack multi-object tracking

This package is the foundation the other four build on; installing any of them installs this one.

Installation

pip install edgefirst-tensor

Requires Python 3.8 or newer and NumPy. Wheels are published for Linux (x86_64, aarch64), macOS (arm64), and Windows (x86_64).

The _codec, _image, _decoder and _tracker extensions locate libedgefirst_tensor.so via DT_RUNPATH=$ORIGIN/../tensor. That assumes every edgefirst.* package lands in the same site-packages tree, which pip normally guarantees. A split layout (pip install --target, some vendored trees) will fail at import with libedgefirst_tensor.so.0: cannot open shared object file. On Windows the library is edgefirst_tensor.dll in that same edgefirst/tensor/ directory and there is no rpath: each sibling package's __init__.py registers the directory with os.add_dll_directory() before loading its extension, because Python 3.8+ does not consult PATH for extension-module DLLs.

Packages install under the PEP 420 edgefirst.* namespace, so imports are edgefirst.tensor, edgefirst.codec, and so on. No package ships an edgefirst/__init__.py — a single one would shadow the namespace and hide its siblings.

Quick start

Allocate an image tensor, fill it through a mapped host view, and read it back as NumPy:

import numpy as np
from edgefirst.tensor import Tensor, PixelFormat

# Allocate once; a real pipeline reuses the tensor every frame.
# mem=None selects the best backend available on the platform.
tensor = Tensor.image(1920, 1080, PixelFormat.Rgb, None, "readwrite")

with tensor.map() as view:
    frame = np.asarray(view)  # shape, dtype and strides all carried
    frame[:] = 128

print(tensor.shape, tensor.format, tensor.dtype)

map() returns a HostView implementing the buffer protocol, so np.asarray wraps the tensor's memory without copying — and because the view publishes shape, dtype and the real row stride, no manual reshape is needed and a pitch-aligned DMA buffer is read correctly rather than sheared. The view is released when the with block exits.

The map also owns its cache-coherency bracket, and access chooses the direction. The default "readwrite" flushes the whole buffer on release; a reader does not need that, and on a non-coherent Arm DMA-BUF backing skipping it is a per-frame saving:

with tensor.map("read") as view:
    frame = np.asarray(view)  # read-only view, not writable

pin_host() is the exception: it is deliberately decoupled from coherency so a pinned address can survive across convert() calls, which is why it pairs with an explicit cpu_access() bracket instead.

Handing memory to an external runtime

pin_host() returns a stable host address that outlives any map guard and carries no borrow of the tensor, so a pinned buffer can be given to an inference runtime (TFLite custom allocations, ONNX Runtime external tensors) while your frame loop keeps writing to it:

pin = tensor.pin_host("readwrite")
print(hex(pin.ptr), pin.len, pin.alignment)

# pin.ptr stays valid for the lifetime of `pin` — across re-maps and across
# ImageProcessor.convert() calls — so an external runtime can hold on to it.
pin.release()

What this package provides

API	Purpose
`Tensor`	Allocation, reshape, host mapping, NumPy interchange
`Tensor.image()`	Allocate with image dimensions and a pixel format
`Tensor.map()` / `HostView`	Buffer-protocol host access, released on scope exit
`Tensor.pin_host()` / `HostPin`	Stable host address for external runtimes
`Tensor.cuda_map()` / `CudaMap`	Zero-copy CUDA device pointer for TensorRT (Jetson)
`TensorMemory`, `PixelFormat`, `Region`	Backend selection, pixel layout, sub-regions
`Quantization`, `Colorimetry`	Quantization parameters and colour metadata
`is_dma_available()` and friends	Runtime capability probes
`Tracing`, `build_info()`	Diagnostics

Interoperability

Each edgefirst-* package is a separate PyO3 extension module, so edgefirst.tensor.Tensor and, say, edgefirst.codec.Tensor are different Python classes even though they wrap the same Rust type — a known PyO3 limitation (issue #1444). A tensor still crosses package boundaries safely, through the __edgefirst_tensor__ capsule protocol every Tensor implements:

# CORRECT — works regardless of which edgefirst.* package produced obj
if hasattr(obj, "__edgefirst_tensor__"):
    ...

# WRONG — always False for a tensor from a sibling package
if isinstance(obj, edgefirst.image.Tensor):
    ...

edgefirst.tensor.EdgeFirstTensorExportable is a typing.Protocol you can annotate a cross-package parameter with, so a type checker accepts a tensor from any edgefirst.* package. See crates/python-common/INTEROP.md for the full protocol — capsule names, lifetime and ownership rules, and versioning.

Versioning and changelog

All four edgefirst-* packages are versioned and released together with the HAL itself, so a given version number refers to the same source tree in every language. Because of that there is no per-package changelog: release notes for every version live in the single CHANGELOG.md in the hal repository, which follows Keep a Changelog and Semantic Versioning.

License

Apache-2.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

edgefirst_tensor-0.29.4-cp311-abi3-win_amd64.whl (970.9 kB view details)

Uploaded Sep 5, 2026 CPython 3.11+Windows x86-64

edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded Sep 5, 2026 CPython 3.11+manylinux: glibc 2.17+ x86-64

edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded Sep 5, 2026 CPython 3.11+manylinux: glibc 2.17+ ARM64

edgefirst_tensor-0.29.4-cp311-abi3-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded Sep 5, 2026 CPython 3.11+macOS 11.0+ ARM64

edgefirst_tensor-0.29.4-cp38-abi3-win_amd64.whl (974.8 kB view details)

Uploaded Sep 5, 2026 CPython 3.8+Windows x86-64

edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded Sep 5, 2026 CPython 3.8+manylinux: glibc 2.17+ x86-64

edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded Sep 5, 2026 CPython 3.8+manylinux: glibc 2.17+ ARM64

edgefirst_tensor-0.29.4-cp38-abi3-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded Sep 5, 2026 CPython 3.8+macOS 11.0+ ARM64

File details

Details for the file edgefirst_tensor-0.29.4-cp311-abi3-win_amd64.whl.

File metadata

Download URL: edgefirst_tensor-0.29.4-cp311-abi3-win_amd64.whl
Upload date: Sep 5, 2026
Size: 970.9 kB
Tags: CPython 3.11+, Windows x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for edgefirst_tensor-0.29.4-cp311-abi3-win_amd64.whl
Algorithm	Hash digest
SHA256	`09fafcd14e9e30636df48762dd5d35b1e551a29030c0d5f56834bf4468f78c39`
MD5	`e33b62b375a0204b016277861c3d32ec`
BLAKE2b-256	`c2ab365b25f7062cd5d84882fd88bd6b449c80da45fad09dfe48f5e68e208961`

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_tensor-0.29.4-cp311-abi3-win_amd64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: edgefirst_tensor-0.29.4-cp311-abi3-win_amd64.whl
- Subject digest: 09fafcd14e9e30636df48762dd5d35b1e551a29030c0d5f56834bf4468f78c39
- Sigstore transparency entry: 2718491064
- Sigstore integration time: Sep 5, 2026
Source repository:
- Permalink: EdgeFirstAI/hal@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Branch / Tag: refs/tags/v0.29.4
- Owner: https://github.com/EdgeFirstAI
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Trigger Event: push

File details

Details for the file edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Sep 5, 2026
Size: 1.2 MB
Tags: CPython 3.11+, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d9a5960a107f76de589f896e214297707ab2e9f48fc63f953530b6cacd062f53`
MD5	`5c88f981aa8cf729351934bada722aa8`
BLAKE2b-256	`38ce8918c868689d4a245fbbb97b5a5552700c63bdb7bf7d6ef7e3037bea6874`

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Subject digest: d9a5960a107f76de589f896e214297707ab2e9f48fc63f953530b6cacd062f53
- Sigstore transparency entry: 2718489978
- Sigstore integration time: Sep 5, 2026
Source repository:
- Permalink: EdgeFirstAI/hal@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Branch / Tag: refs/tags/v0.29.4
- Owner: https://github.com/EdgeFirstAI
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Trigger Event: push

File details

Details for the file edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

Download URL: edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Upload date: Sep 5, 2026
Size: 1.2 MB
Tags: CPython 3.11+, manylinux: glibc 2.17+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`c2f50af41e61faffd1cca62f2af4b962496c041967e4899c9a323b0a4d8363a6`
MD5	`c78f107f112e3bafd2a6cfd06e52a5ed`
BLAKE2b-256	`655ac86a75be6f6f523395bbab889278dbb3e7e6f3bbadc43d27d5a65e159b73`

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: edgefirst_tensor-0.29.4-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Subject digest: c2f50af41e61faffd1cca62f2af4b962496c041967e4899c9a323b0a4d8363a6
- Sigstore transparency entry: 2718492363
- Sigstore integration time: Sep 5, 2026
Source repository:
- Permalink: EdgeFirstAI/hal@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Branch / Tag: refs/tags/v0.29.4
- Owner: https://github.com/EdgeFirstAI
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Trigger Event: push

File details

Details for the file edgefirst_tensor-0.29.4-cp311-abi3-macosx_11_0_arm64.whl.

File metadata

Download URL: edgefirst_tensor-0.29.4-cp311-abi3-macosx_11_0_arm64.whl
Upload date: Sep 5, 2026
Size: 1.1 MB
Tags: CPython 3.11+, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for edgefirst_tensor-0.29.4-cp311-abi3-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`a1725038eed7f66e5c4c9f18b77fecbe5f8ab2a7e75efe8d7f3f84ead24ed4ed`
MD5	`24c8ce760616cb43656aa04ce90a8f97`
BLAKE2b-256	`b48b8439a5c0eea6fca2f35d954b136f445331ee7d274b8c53d9959df55a67d7`

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_tensor-0.29.4-cp311-abi3-macosx_11_0_arm64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: edgefirst_tensor-0.29.4-cp311-abi3-macosx_11_0_arm64.whl
- Subject digest: a1725038eed7f66e5c4c9f18b77fecbe5f8ab2a7e75efe8d7f3f84ead24ed4ed
- Sigstore transparency entry: 2718489464
- Sigstore integration time: Sep 5, 2026
Source repository:
- Permalink: EdgeFirstAI/hal@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Branch / Tag: refs/tags/v0.29.4
- Owner: https://github.com/EdgeFirstAI
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Trigger Event: push

File details

Details for the file edgefirst_tensor-0.29.4-cp38-abi3-win_amd64.whl.

File metadata

Download URL: edgefirst_tensor-0.29.4-cp38-abi3-win_amd64.whl
Upload date: Sep 5, 2026
Size: 974.8 kB
Tags: CPython 3.8+, Windows x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for edgefirst_tensor-0.29.4-cp38-abi3-win_amd64.whl
Algorithm	Hash digest
SHA256	`5b5d82c63f1870ab88264a1fd36eb645db7f183eec2efee8f62be03ba5a98295`
MD5	`99c9051a027d02e3603bc56d178dbf35`
BLAKE2b-256	`2235329a4c05fe0fac6df0ab396601373842a7cf79758168556ddfc965c78d0a`

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_tensor-0.29.4-cp38-abi3-win_amd64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: edgefirst_tensor-0.29.4-cp38-abi3-win_amd64.whl
- Subject digest: 5b5d82c63f1870ab88264a1fd36eb645db7f183eec2efee8f62be03ba5a98295
- Sigstore transparency entry: 2718490099
- Sigstore integration time: Sep 5, 2026
Source repository:
- Permalink: EdgeFirstAI/hal@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Branch / Tag: refs/tags/v0.29.4
- Owner: https://github.com/EdgeFirstAI
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Trigger Event: push

File details

Details for the file edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Sep 5, 2026
Size: 1.2 MB
Tags: CPython 3.8+, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`87b45763aabd4f3e65e1ff80b856162f2206da5f08085bd57ef766af8b99a576`
MD5	`96d9f0bb677b7423403d043e734c7cb4`
BLAKE2b-256	`0dd795daf72592499adfecb25d4dfc91bf83c16b7bc836b3ba2677b5afec3be0`

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Subject digest: 87b45763aabd4f3e65e1ff80b856162f2206da5f08085bd57ef766af8b99a576
- Sigstore transparency entry: 2718493621
- Sigstore integration time: Sep 5, 2026
Source repository:
- Permalink: EdgeFirstAI/hal@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Branch / Tag: refs/tags/v0.29.4
- Owner: https://github.com/EdgeFirstAI
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Trigger Event: push

File details

Details for the file edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

Download URL: edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Upload date: Sep 5, 2026
Size: 1.2 MB
Tags: CPython 3.8+, manylinux: glibc 2.17+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`ea4a9a957fa131caf99a1b1540ab787d151964dc23cddbffd9af85dda2f5ca51`
MD5	`c912be6540c090373ae5fa89739634a7`
BLAKE2b-256	`6d3f532051115f729964033fd07b25b4d5adfc613a92a170c3543e20600ace14`

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: edgefirst_tensor-0.29.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Subject digest: ea4a9a957fa131caf99a1b1540ab787d151964dc23cddbffd9af85dda2f5ca51
- Sigstore transparency entry: 2718492439
- Sigstore integration time: Sep 5, 2026
Source repository:
- Permalink: EdgeFirstAI/hal@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Branch / Tag: refs/tags/v0.29.4
- Owner: https://github.com/EdgeFirstAI
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Trigger Event: push

File details

Details for the file edgefirst_tensor-0.29.4-cp38-abi3-macosx_11_0_arm64.whl.

File metadata

Download URL: edgefirst_tensor-0.29.4-cp38-abi3-macosx_11_0_arm64.whl
Upload date: Sep 5, 2026
Size: 1.1 MB
Tags: CPython 3.8+, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for edgefirst_tensor-0.29.4-cp38-abi3-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`811b17c90f0f01fe763d61f8239536c5d4f7173a11aff099baae5f4be620466f`
MD5	`d2baf78ecef36942cfab8ad9db7d3175`
BLAKE2b-256	`63156d33055efe7ab8568019629ce349c250d17e7b9affd403774cfcd1524e29`

See more details on using hashes here.

Provenance

The following attestation bundles were made for edgefirst_tensor-0.29.4-cp38-abi3-macosx_11_0_arm64.whl:

Publisher: release.yml on EdgeFirstAI/hal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: edgefirst_tensor-0.29.4-cp38-abi3-macosx_11_0_arm64.whl
- Subject digest: 811b17c90f0f01fe763d61f8239536c5d4f7173a11aff099baae5f4be620466f
- Sigstore transparency entry: 2718491787
- Sigstore integration time: Sep 5, 2026
Source repository:
- Permalink: EdgeFirstAI/hal@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Branch / Tag: refs/tags/v0.29.4
- Owner: https://github.com/EdgeFirstAI
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b8a376e6e76a26bab9ab63c1ae87c48b579e53d2
- Trigger Event: push

Release history Release notifications | RSS feed

0.30.0

Sep 8, 2026 8 files

This release

0.29.4 This release

Sep 5, 2026 8 files

0.29.3

Sep 4, 2026 8 files

Pre-release

0.29.0rc1

Sep 3, 2026 1 file

edgefirst-tensor 0.29.4

edgefirst-tensor

Part of the EdgeFirst HAL

Installation

Quick start

Handing memory to an external runtime

What this package provides

Interoperability

Versioning and changelog

Links

License

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

License expression

Requires

Tags

Classifiers

Download files

Source Distributions

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

Release history Release notifications | RSS feed