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sha256: 1e98b88b73b274ce0d33830cdf5e55f743c3e3b287372a90f194d01d882edc7c - md5: b188fb29bb1cf567fc22d632d6e02fe0 + size: 23555333 + timestamp: 1746268961298 +- conda: https://prefix.dev/conda-forge/win-64/pytorch-2.7.0-cuda126_mkl_py310_h61b71b3_300.conda + sha256: 72de2392a7b057b2154029bd8a8a4898f4bca8fa0c9367a1b0938023d87dbac9 + md5: dce9c91ef51f983e75b9d32803ea1c4e depends: + - __cuda + - cuda-cudart >=12.6.77,<13.0a0 + - cuda-cupti >=12.6.80,<13.0a0 + - cuda-nvrtc >=12.6.85,<13.0a0 + - cuda-version >=12.6,<13 + - cudnn >=9.10.1.4,<10.0a0 - filelock - fsspec - intel-openmp <2025 @@ -9383,9 +9388,16 @@ packages: - libabseil >=20250127.1,<20250128.0a0 - libblas * *mkl - libcblas >=3.9.0,<4.0a0 + - libcublas >=12.6.4.1,<13.0a0 + - libcudss >=0.5.0.16,<0.5.1.0a0 + - libcufft >=11.3.0.4,<12.0a0 + - libcurand >=10.3.7.77,<11.0a0 + - libcusolver >=11.7.1.2,<12.0a0 + - libcusparse >=12.5.4.2,<13.0a0 + - libmagma >=2.9.0,<2.9.1.0a0 - libprotobuf >=5.29.3,<5.29.4.0a0 - - libtorch 2.7.0 cpu_mkl_hf54a72f_100 - - libuv >=1.50.0,<2.0a0 + - libtorch 2.7.0 cuda126_mkl_h09c782d_300 + - libuv >=1.51.0,<2.0a0 - libzlib >=1.3.1,<2.0a0 - mkl >=2024.2.2,<2025.0a0 - networkx @@ -9402,14 +9414,14 @@ packages: - vc >=14.2,<15 - vc14_runtime >=14.29.30139 constrains: - - pytorch-gpu <0.0a0 - - pytorch-cpu 2.7.0 + - pytorch-gpu 2.7.0 + - pytorch-cpu <0.0a0 license: BSD-3-Clause license_family: BSD purls: - pkg:pypi/torch?source=hash-mapping - size: 23555333 - timestamp: 1746268961298 + size: 23684707 + timestamp: 1748513257167 - conda: https://prefix.dev/conda-forge/noarch/pytz-2025.2-pyhd8ed1ab_0.conda sha256: 8d2a8bf110cc1fc3df6904091dead158ba3e614d8402a83e51ed3a8aa93cdeb0 md5: bc8e3267d44011051f2eb14d22fb0960 diff --git a/pyproject.toml b/pyproject.toml index 3d3e22e1..485b0816 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -134,7 +134,7 @@ numpy = "=1.22.0" # Backends that can run on CPU-only hosts # Note: JAX and PyTorch will install CPU variants. [tool.pixi.feature.backends.dependencies] -pytorch = ">=2.6.0" +pytorch = ">=2.7.0" dask-core = ">=2025.5.0" # No distributed, tornado, etc. sparse = ">=0.16.0" @@ -162,7 +162,7 @@ system-requirements = { cuda = "12" } [tool.pixi.feature.cuda-backends.target.linux-64.dependencies] cupy = ">=13.4.1" jaxlib = { version = ">=0.5.2", build = "cuda12*" } -pytorch = { version = ">=2.6.0", build = "cuda12*" } +pytorch = { version = ">=2.7.0", build = "cuda12*" } [tool.pixi.feature.cuda-backends.target.osx-64.dependencies] # cupy = "*" # unavailable @@ -177,7 +177,7 @@ pytorch = { version = ">=2.6.0", build = "cuda12*" } [tool.pixi.feature.cuda-backends.target.win-64.dependencies] cupy = ">=13.4.1" # jaxlib = { version = "*", build = "cuda12*" } # unavailable -pytorch = { version = ">=2.6.0", build = "cuda12*" } +pytorch = { version = ">=2.7.0", build = "cuda12*" } [tool.pixi.environments] default = { features = ["py313"], solve-group = "py313" }