ttnn - Run sweeps #1531
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| name: "ttnn - Run sweeps" | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| sweep_name: | |
| type: choice | |
| description: "Which sweep module to run?" | |
| required: true | |
| default: "ALL SWEEPS (Nightly)" | |
| options: | |
| - ALL SWEEPS (Nightly) | |
| - add | |
| - ccl.line_all_gather | |
| - ccl.all_gather_n300 | |
| - ccl.all_gather_n300_focused | |
| - eltwise.unary.abs.abs_pytorch2 | |
| - eltwise.unary.relu.relu | |
| - eltwise.unary.relu.relu_pytorch2 | |
| - eltwise.unary.gelu.gelu | |
| - eltwise.unary.gelu.gelu_pytorch2 | |
| - eltwise.unary.hardsigmoid.hardsigmoid_pytorch2 | |
| - eltwise.unary.leaky_relu.leaky_relu_pytorch2 | |
| - eltwise.unary.abs.abs | |
| - eltwise.unary.cos.cos | |
| - eltwise.unary.cos.cos_pytorch2 | |
| - eltwise.unary.sin.sin | |
| - eltwise.unary.sin.sin_pytorch2 | |
| - eltwise.unary.tril.tril_pytorch2 | |
| - eltwise.unary.clamp.clamp | |
| - eltwise.unary.clamp.clamp_pytorch2 | |
| - eltwise.unary.clamp.clamp_min_pytorch2 | |
| - eltwise.unary.clip.clip | |
| - eltwise.unary.cbrt.cbrt | |
| - eltwise.unary.rsub.rsub | |
| - eltwise.unary.rsub.rsub_pytorch2 | |
| - eltwise.unary.rsqrt.rsqrt_pytorch2 | |
| - eltwise.unary.rdiv.rdiv | |
| - eltwise.unary.frac.frac | |
| - eltwise.unary.ceil.ceil | |
| - eltwise.unary.ceil.ceil_pytorch2 | |
| - eltwise.unary.trunc.trunc | |
| - eltwise.unary.floor.floor | |
| - eltwise.unary.floor.floor_pytorch2 | |
| - eltwise.unary.clone.clone | |
| - eltwise.unary.elu.elu | |
| - eltwise.unary.elu.elu_pytorch2 | |
| - eltwise.unary.erfc.erfc | |
| - eltwise.unary.exp.exp | |
| - eltwise.unary.exp.exp_pytorch2 | |
| - eltwise.unary.exp2.exp2 | |
| - eltwise.unary.expm1.expm1 | |
| - eltwise.unary.tanh.tanh | |
| - eltwise.unary.tanh.tanh_pytorch2 | |
| - eltwise.unary.sign.sign | |
| - eltwise.unary.rad2deg.rad2deg | |
| - eltwise.unary.deg2rad.deg2rad | |
| - eltwise.unary.relu6.relu6 | |
| - eltwise.unary.log.log | |
| - eltwise.unary.log.log_pytorch2 | |
| - eltwise.unary.log1p.log1p | |
| - eltwise.unary.log2.log2 | |
| - eltwise.unary.log10.log10 | |
| - eltwise.unary.bitwise.bitwise_and | |
| - eltwise.unary.bitwise.bitwise_left_shift | |
| - eltwise.unary.bitwise.bitwise_not | |
| - eltwise.unary.bitwise.bitwise_not_pytorch2 | |
| - eltwise.unary.bitwise.bitwise_or | |
| - eltwise.unary.bitwise.bitwise_right_shift | |
| - eltwise.unary.bitwise.bitwise_xor | |
| - eltwise.unary.log_sigmoid.log_sigmoid | |
| - eltwise.unary.logical_not.logical_not_ | |
| - eltwise.unary.logical_not.logical_not | |
| - eltwise.unary.logical_not.logical_not_output | |
| - eltwise.unary.logical_not.logical_not_pytorch2 | |
| - eltwise.unary.neg.neg_pytorch2 | |
| - eltwise.unary.erf.erf | |
| - eltwise.unary.erfinv.erfinv | |
| - eltwise.unary.i0.i0 | |
| - eltwise.unary.silu.silu | |
| - eltwise.unary.silu.silu_pytorch2 | |
| - eltwise.unary.glu.glu | |
| - eltwise.unary.sigmoid.sigmoid | |
| - eltwise.unary.sigmoid.sigmoid_pytorch2 | |
| - eltwise.unary.sigmoid_accurate.sigmoid_accurate | |
| - eltwise.unary.tril.tril | |
| - eltwise.unary.triu.triu | |
| - eltwise.unary.normalize_hw.normalize_hw | |
| - eltwise.unary.normalize_global.normalize_global | |
| - eltwise.unary.heaviside.heaviside | |
| - eltwise.unary.hardtanh.hardtanh | |
| - eltwise.unary.hardswish.hardswish | |
| - eltwise.unary.hardsigmoid.hardsigmoid | |
| - eltwise.unary.hardshrink.hardshrink | |
| - eltwise.unary.softmax.softmax | |
| - eltwise.unary.identity.identity | |
| - eltwise.unary.neg.neg | |
| - eltwise.unary.sinh.sinh | |
| - eltwise.unary.relu_min.relu_min | |
| - eltwise.unary.relu_max.relu_max | |
| - eltwise.unary.softplus.softplus | |
| - eltwise.unary_backward.acos_bw | |
| - eltwise.unary_backward.acosh_bw | |
| - eltwise.unary_backward.atan_bw | |
| - eltwise.unary_backward.cos_bw | |
| - eltwise.unary_backward.frac_bw | |
| - eltwise.unary_backward.i0_bw | |
| - eltwise.unary_backward.rad2deg_bw | |
| - eltwise.unary_backward.relu_bw | |
| - eltwise.unary_backward.rsqrt_bw | |
| - eltwise.unary_backward.sigmoid_bw | |
| - eltwise.unary_backward.tan_bw | |
| - eltwise.unary_backward.trunc_bw | |
| - eltwise.unary_backward.clamp_bw.clamp_bw | |
| - eltwise.unary_backward.hardtanh_bw.hardtanh_bw | |
| - eltwise.unary_backward.mul_bw.mul_bw | |
| - eltwise.unary_backward.softplus_bw.softplus_bw | |
| - eltwise.unary_backward.threshold_bw.threshold_bw | |
| - eltwise.unary_backward.div_bw.div_bw | |
| - eltwise.unary_backward.log_bw.log_bw | |
| - eltwise.unary_backward.relu6_bw.relu6_bw | |
| - eltwise.unary_backward.log10_bw.log10_bw | |
| - eltwise.unary_backward.abs_bw.abs_bw | |
| - eltwise.unary_backward.sinh_bw.sinh_bw | |
| - eltwise.unary_backward.sin_bw.sin_bw | |
| - eltwise.unary_backward.square_bw.square_bw | |
| - eltwise.unary_backward.rdiv_bw.rdiv_bw | |
| - eltwise.unary_backward.bias_gelu_bw.bias_gelu_bw | |
| - eltwise.unary_backward.pow_bw.pow_bw | |
| - eltwise.unary_backward.exp_bw.exp_bw | |
| - eltwise.unary_backward.tanh_bw.tanh_bw | |
| - eltwise.unary_backward.sqrt_bw.sqrt_bw | |
| - eltwise.unary_backward.add_bw.add_bw | |
| - eltwise.unary_backward.assign_bw.assign_bw | |
| - eltwise.unary_backward.fill_bw.fill_bw | |
| - eltwise.unary_backward.hardsigmoid_bw.hardsigmoid_bw | |
| - eltwise.unary_backward.lgamma_bw.lgamma_bw | |
| - eltwise.unary_backward.multigammaln_bw.multigammaln_bw | |
| - eltwise.unary.lgamma | |
| - eltwise.unary.logit | |
| - eltwise.unary.mish | |
| - eltwise.unary.multigammaln | |
| - eltwise.unary.isfinite | |
| - eltwise.unary.isinf | |
| - eltwise.unary.isnan | |
| - eltwise.unary.isneginf | |
| - eltwise.unary.isposinf | |
| - eltwise.binary.add.add_all_pytorch2 | |
| - eltwise.binary.add.add_different_memory_configs | |
| - eltwise.unary.gtz.gtz | |
| - eltwise.unary.ltz.ltz | |
| - eltwise.unary.gez.gez | |
| - eltwise.unary.lez.lez | |
| - eltwise.unary.nez.nez | |
| - eltwise.unary.prelu.prelu | |
| - eltwise.unary.hardswish.hardswish_pytorch2 | |
| - eltwise.unary.hardtanh.hardtanh_pytorch2 | |
| - eltwise.unary.leaky_relu.leaky_relu | |
| - eltwise.unary.reglu.reglu | |
| - eltwise.unary_complex.polar.polar | |
| - eltwise.unary_complex.angle.angle | |
| - eltwise.unary_complex.polar_bw.polar_bw | |
| - eltwise.unary_complex.angle_bw.angle_bw | |
| - eltwise.binary.subtract.subtract | |
| - eltwise.binary.subtract.subtract_tensor_pytorch2 | |
| - eltwise.binary.multiply.multiply | |
| - eltwise.binary.multiply.mul_tensor_pytorch2 | |
| - eltwise.binary.multiply.multiply_scalar_pytorch2 | |
| - eltwise.binary.div.div | |
| - eltwise.binary.div.div_tensor_pytorch2 | |
| - eltwise.binary.div_no_nan.div_no_nan | |
| - eltwise.binary.logical_or.logical_or_ | |
| - eltwise.binary.logical_or.logical_or | |
| - eltwise.binary.logical_or.logical_or_output | |
| - eltwise.binary.logical_xor.logical_xor_ | |
| - eltwise.binary.logical_xor.logical_xor | |
| - eltwise.binary.logical_and.logical_and_ | |
| - eltwise.binary.logical_and.logical_and | |
| - eltwise.binary.logical_and.logical_and_output | |
| - eltwise.binary.polyval.polyval | |
| - eltwise.binary.remainder.remainder | |
| - eltwise.binary.squared_difference.squared_difference | |
| - eltwise.binary.squared_difference_output.squared_difference_output | |
| - eltwise.binary.remainder.remainder_scalar_pytorch2 | |
| - eltwise.binary.bcast.bcast_h_sharded | |
| - eltwise.binary.bcast.bcast | |
| - eltwise.binary.eq.eq_scalar_pytorch2 | |
| - eltwise.binary.gt.gt_scalar_pytorch2 | |
| - eltwise.binary.le.le_tensor_pytorch2 | |
| - eltwise.binary.fmod.fmod | |
| - eltwise.binary.floor_divide.floor_divide_pytorch2 | |
| - eltwise.binary.logaddexp.logaddexp | |
| - eltwise.binary.logaddexp2.logaddexp2 | |
| - eltwise.binary.ldexp.ldexp | |
| - eltwise.binary.lt.lt_tensor_pytorch2 | |
| - eltwise.binary.lt.lt_scalar_pytorch2 | |
| - eltwise.binary.ne.ne_scalar_pytorch2 | |
| - eltwise.binary.hypot.hypot | |
| - eltwise.binary.xlogy.xlogy | |
| - eltwise.binary_backward.embedding_bw.embedding_bw | |
| - eltwise.binary_backward.addalpha_bw.addalpha_bw | |
| - eltwise.binary_backward.subalpha_bw.subalpha_bw | |
| - eltwise.binary_backward.xlogy_bw.xlogy_bw | |
| - eltwise.binary_backward.hypot_bw.hypot_bw | |
| - eltwise.composite.binary.addalpha.addalpha | |
| - eltwise.composite.binary.subalpha.subalpha | |
| - eltwise.composite.binary.minimum.minimum | |
| - eltwise.composite.binary.minimum.minimum_pytorch2 | |
| - eltwise.composite.binary.maximum.maximum | |
| - eltwise.composite.binary.maximum.maximum_pytorch2 | |
| - eltwise.composite.binary.pow.pow_pytorch2 | |
| - eltwise.composite.binary.pow.pow_scalar_pytorch2 | |
| - eltwise.composite.binary.pow.pow_tensor_pytorch2 | |
| - eltwise.ternary.addcmul.addcmul | |
| - eltwise.ternary.addcdiv.addcdiv | |
| - eltwise.ternary.mac.mac | |
| - eltwise.ternary.lerp | |
| - eltwise.ternary.where.where | |
| - eltwise.ternary.where.where_pytorch2 | |
| - matmul.full.matmul_default_block_sharded | |
| - matmul.full.matmul_default_height_sharded | |
| - matmul.full.matmul_default_interleaved | |
| - matmul.full.matmul_default_width_sharded | |
| - matmul.short.matmul_create_program_config | |
| - matmul.short.matmul_default_sharded | |
| - matmul.short.matmul_default | |
| - matmul.short.matmul_user_program_config_mcast_1d | |
| - matmul.short.matmul_user_program_config_mcast_2d | |
| - matmul.short.matmul_user_program_config | |
| - matmul.short.matmul | |
| - data_movement.concat.concat_interleaved_n_tensors | |
| - data_movement.concat.concat_interleaved | |
| - data_movement.concat.concat_sharded | |
| - data_movement.concat.concat_pytorch2 | |
| - data_movement.slice.slice_pytorch2_rm | |
| - data_movement.slice.slice_pytorch2_tiled | |
| - data_movement.permute.permute | |
| - data_movement.permute.permute_pytorch2_tiled | |
| - data_movement.permute.permute_pytorch2_rm | |
| - data_movement.transpose.transpose_pytorch2 | |
| - data_movement.transpose.transpose_interleaved | |
| - data_movement.transpose.t_pytorch2 | |
| - data_movement.copy.copy | |
| - data_movement.expand.expand_pytorch2 | |
| - data_movement.fill.fill_pytorch2 | |
| - data_movement.index_select.index_select_pytorch2 | |
| - data_movement.split.split_with_sizes_pytorch2 | |
| - data_movement.repeat.repeat | |
| - conv2d.full.conv2d_misc | |
| - conv2d.full.conv2d_sharding | |
| - conv2d.full.conv2d_sliding_window | |
| - conv2d.short.conv2d_short_sweep | |
| - max_pool2d.short.max_pool2d_short_sweep | |
| schedule: | |
| - cron: "0 21 * * *" # This cron schedule runs the workflow at 9:00pm UTC nightly | |
| jobs: | |
| build-artifact: | |
| uses: ./.github/workflows/build-artifact.yaml | |
| secrets: inherit | |
| ttnn-generate-sweeps: | |
| needs: build-artifact | |
| env: | |
| TT_METAL_ENV: ${{ vars.TT_METAL_ENV }} | |
| ARCH_NAME: wormhole_b0 | |
| ELASTIC_USERNAME: ${{ secrets.SWEEPS_ELASTIC_USERNAME }} | |
| ELASTIC_PASSWORD: ${{ secrets.SWEEPS_ELASTIC_PASSWORD }} | |
| LD_LIBRARY_PATH: ${{ github.workspace }}/build/lib | |
| environment: dev | |
| timeout-minutes: 30 | |
| runs-on: [build, in-service] | |
| steps: | |
| - uses: tenstorrent-metal/metal-workflows/.github/actions/checkout-with-submodule-lfs@v2.0.0 | |
| - name: Set up dynamic env vars for build | |
| run: | | |
| echo "TT_METAL_HOME=$(pwd)" >> $GITHUB_ENV | |
| - uses: ./.github/actions/prepare-metal-run | |
| with: | |
| arch: wormhole_b0 | |
| - name: Run ttnn sweeps generation (single sweep) | |
| if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.sweep_name != 'ALL SWEEPS (Nightly)' }} | |
| run: | | |
| source ${{ github.workspace }}/python_env/bin/activate | |
| cd $TT_METAL_HOME | |
| export PYTHONPATH=$TT_METAL_HOME | |
| python tests/sweep_framework/sweeps_parameter_generator.py --module-name ${{ github.event.inputs.sweep_name }} --elastic cloud --tag ci-main --explicit | |
| - name: Run ttnn sweeps generation (all sweeps) | |
| if: ${{ github.event_name == 'schedule' || github.event.inputs.sweep_name == 'ALL SWEEPS (Nightly)' }} | |
| run: | | |
| source ${{ github.workspace }}/python_env/bin/activate | |
| cd $TT_METAL_HOME | |
| export PYTHONPATH=$TT_METAL_HOME | |
| python tests/sweep_framework/sweeps_parameter_generator.py --elastic cloud --tag ci-main --explicit | |
| ttnn-run-sweeps: | |
| needs: ttnn-generate-sweeps | |
| strategy: | |
| # Do not fail-fast because we need to ensure all tests go to completion | |
| # so we try not to get hanging machines | |
| fail-fast: false | |
| matrix: | |
| test-group: | |
| [ | |
| { | |
| name: "Grayskull E150 Sweeps", | |
| arch: grayskull, | |
| runs-on: ["cloud-virtual-machine", "E150", "in-service"], | |
| tt-smi-cmd: "tt-smi-metal -r 0" | |
| }, | |
| { | |
| name: "Wormhole N150 Sweeps", | |
| arch: wormhole_b0, | |
| runs-on: ["cloud-virtual-machine", "N150", "in-service"], | |
| tt-smi-cmd: "tt-smi-metal -r 0" | |
| }, | |
| { | |
| name: "Wormhole N300 Sweeps", | |
| arch: wormhole_b0, | |
| runs-on: ["cloud-virtual-machine", "N300", "in-service"], | |
| tt-smi-cmd: "tt-smi-metal -r 0" | |
| } | |
| ] | |
| env: | |
| TT_METAL_ENV: ${{ vars.TT_METAL_ENV }} | |
| ARCH_NAME: ${{ matrix.test-group.arch }} | |
| ELASTIC_USERNAME: ${{ secrets.SWEEPS_ELASTIC_USERNAME }} | |
| ELASTIC_PASSWORD: ${{ secrets.SWEEPS_ELASTIC_PASSWORD }} | |
| TT_SMI_RESET_COMMAND: ${{ matrix.test-group.tt-smi-cmd }} | |
| LD_LIBRARY_PATH: ${{ github.workspace }}/build/lib | |
| environment: dev | |
| timeout-minutes: 720 | |
| runs-on: ${{ matrix.test-group.runs-on }} | |
| steps: | |
| - uses: tenstorrent-metal/metal-workflows/.github/actions/checkout-with-submodule-lfs@v2.0.0 | |
| - name: Set up dynamic env vars for build | |
| run: | | |
| echo "TT_METAL_HOME=$(pwd)" >> $GITHUB_ENV | |
| - uses: ./.github/actions/prepare-metal-run | |
| with: | |
| arch: ${{ matrix.test-group.arch }} | |
| - name: Run ttnn sweeps (single sweep) | |
| if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.sweep_name != 'ALL SWEEPS (Nightly)' }} | |
| run: | | |
| source ${{ github.workspace }}/python_env/bin/activate | |
| cd $TT_METAL_HOME | |
| export PYTHONPATH=$TT_METAL_HOME | |
| python tests/sweep_framework/sweeps_runner.py --module-name ${{ github.event.inputs.sweep_name }} --elastic cloud --tag ci-main | |
| - name: Run ttnn sweeps (all sweeps, nightly) | |
| if: ${{ github.event_name == 'schedule' || github.event.inputs.sweep_name == 'ALL SWEEPS (Nightly)' }} | |
| run: | | |
| source ${{ github.workspace }}/python_env/bin/activate | |
| cd $TT_METAL_HOME | |
| export PYTHONPATH=$TT_METAL_HOME | |
| python tests/sweep_framework/sweeps_runner.py --elastic cloud --tag ci-main --suite-name nightly |