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fork dataloader __init__ instead of patching samplers #858

fork dataloader __init__ instead of patching samplers

fork dataloader __init__ instead of patching samplers #858

Workflow file for this run

name: Build M1 Conda
on:
pull_request:
push:
branches:
- nightly
- main
- release/*
tags:
# NOTE: Binary build pipelines should only get triggered on release candidate builds
# Release candidate tags look like: v1.11.0-rc1
- v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
workflow_dispatch:
jobs:
generate-matrix:
uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
with:
package-type: conda
os: macos-arm64
test-infra-repository: pytorch/test-infra
test-infra-ref: main
build:
needs: generate-matrix
name: pytorch/data
uses: pytorch/test-infra/.github/workflows/build_conda_macos.yml@main
with:
conda-package-directory: packaging/torchdata
repository: pytorch/data
ref: ""
test-infra-repository: pytorch/test-infra
test-infra-ref: main
build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
pre-script: ""
post-script: ""
package-name: torchdata
env-var-script: packaging/env-var-script.txt
smoke-test-script: test/smoke_test/smoke_test.py
runner-type: macos-m1-stable
trigger-event: ${{ github.event_name }}
secrets:
CONDA_PYTORCHBOT_TOKEN: ${{ secrets.CONDA_PYTORCHBOT_TOKEN }}
CONDA_PYTORCHBOT_TOKEN_TEST: ${{ secrets.CONDA_TEST_PYTORCHBOT_TOKEN }}