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[CI] Update GPU image for PyTorch 1.11 #10849

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Merged
mbrookhart merged 3 commits into from
Apr 1, 2022
Merged

[CI] Update GPU image for PyTorch 1.11 #10849

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35c2f45
Update Jenkinsfile to point to the new GPU image
masahi Mar 31, 2022
2da5ccf
fix onnx test
masahi Mar 31, 2022
02c9df9
fixed keras tutorial
masahi Mar 31, 2022
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2 changes: 1 addition & 1 deletion Jenkinsfile
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@
import org.jenkinsci.plugins.pipeline.modeldefinition.Utils
// NOTE: these lines are scanned by docker/dev_common.sh. Please update the regex as needed. -->
ci_lint = 'tlcpack/ci-lint:v0.69'
ci_gpu = 'tlcpack/ci-gpu:v0.82'
ci_gpu = 'tlcpack/ci-gpu:v0.83'
ci_cpu = 'tlcpack/ci-cpu:v0.82'
ci_wasm = 'tlcpack/ci-wasm:v0.72'
ci_i386 = 'tlcpack/ci-i386:v0.75'
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5 changes: 3 additions & 2 deletions gallery/how_to/compile_models/from_keras.py
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Expand Up @@ -39,6 +39,7 @@
import tvm.relay as relay
from tvm.contrib.download import download_testdata
import keras
import tensorflow as tf
import numpy as np

######################################################################
Expand All @@ -65,7 +66,7 @@


weights_path = download_testdata(weights_url, weights_file, module="keras")
keras_resnet50 = keras.applications.resnet50.ResNet50(
keras_resnet50 = tf.keras.applications.resnet50.ResNet50(
include_top=True, weights=None, input_shape=(224, 224, 3), classes=1000
)
keras_resnet50.load_weights(weights_path)
Expand All @@ -76,7 +77,7 @@
# A single cat dominates the examples!
from PIL import Image
from matplotlib import pyplot as plt
from keras.applications.resnet50 import preprocess_input
from tensorflow.keras.applications.resnet50 import preprocess_input

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@masahi masahi Mar 31, 2022

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I don't get why I had to make this change. After we upgraded to keras 2.6 in #10084, keras.applications no longer exists. The doc build runs on the gpu image, which should have been updated to keras 2.6 in #10654. So this error should have been caught during the update of #10654.

cc @driazati @leandron

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@driazati driazati Mar 31, 2022

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also not sure, the mapping of image version -> range of commits is very difficult to track down (but should be fixed by #10646)

img_url = "https://github.com/dmlc/mxnet.js/blob/main/data/cat.png?raw=true"
img_path = download_testdata(img_url, "cat.png", module="data")
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2 changes: 1 addition & 1 deletion jenkins/Jenkinsfile.j2
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Expand Up @@ -49,7 +49,7 @@ import org.jenkinsci.plugins.pipeline.modeldefinition.Utils

// NOTE: these lines are scanned by docker/dev_common.sh. Please update the regex as needed. -->
ci_lint = 'tlcpack/ci-lint:v0.69'
ci_gpu = 'tlcpack/ci-gpu:v0.82'
ci_gpu = 'tlcpack/ci-gpu:v0.83'
ci_cpu = 'tlcpack/ci-cpu:v0.82'
ci_wasm = 'tlcpack/ci-wasm:v0.72'
ci_i386 = 'tlcpack/ci-i386:v0.75'
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2 changes: 1 addition & 1 deletion tests/python/frontend/onnx/test_forward.py
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Expand Up @@ -2993,7 +2993,7 @@ def forward(self, input):
torch.onnx.export(layer, dummy_input, file_name, export_params=True)

onnx_model = onnx.load(file_name)
relay.frontend.from_onnx(onnx_model, {"0": input_size})
relay.frontend.from_onnx(onnx_model, {"onnx::Reshape_0": input_size})


@tvm.testing.parametrize_targets
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