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new dd09c85f87 [CI] Update image tag to 20240428-060115-0b09ed018 (#16948)
dd09c85f87 is described below
commit dd09c85f8787662c00afb952cbcf8725edbdbfc0
Author: Yong Wu <[email protected]>
AuthorDate: Mon Apr 29 04:56:38 2024 -0700
[CI] Update image tag to 20240428-060115-0b09ed018 (#16948)
* [CI] Update image tag to 20240428-060115-0b09ed018
* Skip a flaky test
* Remove msg in pytest.skip
* format
---
ci/jenkins/docker-images.ini | 20 ++++++++++----------
tests/micro/zephyr/test_zephyr.py | 2 +-
.../metaschedule_e2e/test_resnet50_fp16.py | 2 +-
.../metaschedule_e2e/test_resnet50_int8.py | 4 ++--
.../contrib/test_hexagon/test_meta_schedule.py | 10 +++++-----
.../test_hexagon/topi/slice_op/test_cast_slice.py | 4 ++--
tests/python/relax/test_codegen_cudnn.py | 1 +
7 files changed, 22 insertions(+), 21 deletions(-)
diff --git a/ci/jenkins/docker-images.ini b/ci/jenkins/docker-images.ini
index 211ea02970..6e55160521 100644
--- a/ci/jenkins/docker-images.ini
+++ b/ci/jenkins/docker-images.ini
@@ -17,13 +17,13 @@
# This data file is read during when Jenkins runs job to determine docker
images.
[jenkins]
-ci_arm: tlcpack/ci-arm:20240126-070121-8ade9c30e
-ci_cortexm: tlcpack/ci-cortexm:20240126-070121-8ade9c30e
-ci_cpu: tlcpack/ci_cpu:20240322-060059-89cd74c07
-ci_gpu: tlcpack/ci-gpu:20240126-070121-8ade9c30e
-ci_hexagon: tlcpack/ci-hexagon:20240126-070121-8ade9c30e
-ci_i386: tlcpack/ci-i386:20240126-070121-8ade9c30e
-ci_lint: tlcpack/ci-lint:20240126-070121-8ade9c30e
-ci_minimal: tlcpack/ci-minimal:20240126-070121-8ade9c30e
-ci_riscv: tlcpack/ci-riscv:20240126-070121-8ade9c30e
-ci_wasm: tlcpack/ci-wasm:20240126-070121-8ade9c30e
+ci_arm: tlcpack/ci-arm:20240428-060115-0b09ed018
+ci_cortexm: tlcpack/ci-cortexm:20240428-060115-0b09ed018
+ci_cpu: tlcpack/ci_cpu:20240428-060115-0b09ed018
+ci_gpu: tlcpack/ci-gpu:20240428-060115-0b09ed018
+ci_hexagon: tlcpack/ci-hexagon:20240428-060115-0b09ed018
+ci_i386: tlcpack/ci-i386:20240428-060115-0b09ed018
+ci_lint: tlcpack/ci-lint:20240428-060115-0b09ed018
+ci_minimal: tlcpack/ci-minimal:20240428-060115-0b09ed018
+ci_riscv: tlcpack/ci-riscv:20240428-060115-0b09ed018
+ci_wasm: tlcpack/ci-wasm:20240428-060115-0b09ed018
diff --git a/tests/micro/zephyr/test_zephyr.py
b/tests/micro/zephyr/test_zephyr.py
index 72a0a85cf9..d247e2187b 100644
--- a/tests/micro/zephyr/test_zephyr.py
+++ b/tests/micro/zephyr/test_zephyr.py
@@ -650,7 +650,7 @@ def test_debugging_enabled(workspace_dir):
def test_qemu_make_fail(workspace_dir, board, microtvm_debug, serial_number):
"""Testing QEMU make fail."""
if not utils.ZEPHYR_BOARDS[board]["is_qemu"]:
- pytest.skip(msg="Only for QEMU targets.")
+ pytest.skip("Only for QEMU targets.")
build_config = {"debug": microtvm_debug}
shape = (10,)
diff --git
a/tests/python/contrib/test_hexagon/metaschedule_e2e/test_resnet50_fp16.py
b/tests/python/contrib/test_hexagon/metaschedule_e2e/test_resnet50_fp16.py
index 117e9d4b6f..52892c60ad 100644
--- a/tests/python/contrib/test_hexagon/metaschedule_e2e/test_resnet50_fp16.py
+++ b/tests/python/contrib/test_hexagon/metaschedule_e2e/test_resnet50_fp16.py
@@ -47,7 +47,7 @@ def test_resnet50(hexagon_launcher):
model_params = "resnet50_fp16.params"
if not os.path.exists(model_json):
- pytest.skip(msg="Run python export_models.py first.")
+ pytest.skip("Run python export_models.py first.")
with open(model_json, "r") as file:
mod = tvm.ir.load_json(file.read())
diff --git
a/tests/python/contrib/test_hexagon/metaschedule_e2e/test_resnet50_int8.py
b/tests/python/contrib/test_hexagon/metaschedule_e2e/test_resnet50_int8.py
index 111448ea57..84c796bee5 100644
--- a/tests/python/contrib/test_hexagon/metaschedule_e2e/test_resnet50_int8.py
+++ b/tests/python/contrib/test_hexagon/metaschedule_e2e/test_resnet50_int8.py
@@ -54,7 +54,7 @@ TARGET_HEXAGON = get_hexagon_target("v68")
def load_model():
"""Load renset50 model."""
if not os.path.exists(MODEL_JSON):
- pytest.skip(msg="Run python export_models.py first.")
+ pytest.skip("Run python export_models.py first.")
with open(MODEL_JSON, "r") as file:
mod = tvm.ir.load_json(file.read())
@@ -172,7 +172,7 @@ def test_resnet50(hexagon_launcher):
pytest.skip("Skipping test since it takes too long in CI.")
if not os.path.exists(MODEL_JSON):
- pytest.skip(msg="Run python export_models.py first.")
+ pytest.skip("Run python export_models.py first.")
mod, params = load_model()
diff --git a/tests/python/contrib/test_hexagon/test_meta_schedule.py
b/tests/python/contrib/test_hexagon/test_meta_schedule.py
index a64f0fc286..26acedb88e 100644
--- a/tests/python/contrib/test_hexagon/test_meta_schedule.py
+++ b/tests/python/contrib/test_hexagon/test_meta_schedule.py
@@ -69,7 +69,7 @@ class MatmulModule:
def test_builder_runner(hexagon_launcher):
"""Test builder and runner."""
if hexagon_launcher.is_simulator():
- pytest.skip(msg="Tuning on simulator not supported.")
+ pytest.skip("Tuning on simulator not supported.")
mod = MatmulModule
@@ -191,7 +191,7 @@ def verify_dense(sch, target, m_size, n_size, k_size,
hexagon_session):
def test_vrmpy_dense(hexagon_launcher):
"""Test vector reduce muliply dense."""
if hexagon_launcher.is_simulator():
- pytest.skip(msg="Tuning on simulator not supported.")
+ pytest.skip("Tuning on simulator not supported.")
do_tune = True
@@ -302,7 +302,7 @@ class ModuleVRMPYAutoTensorize:
def test_vrmpy_dense_auto_tensorize(hexagon_launcher):
"""Test VRMPY dense operator."""
if hexagon_launcher.is_simulator():
- pytest.skip(msg="Tuning on simulator not supported.")
+ pytest.skip("Tuning on simulator not supported.")
m_size, n_size, k_size = 128, 768, 768
workload = te.create_prim_func(dense_compute(m_size, n_size, k_size))
@@ -367,7 +367,7 @@ def test_vrmpy_dense_auto_tensorize(hexagon_launcher):
def test_conv2d_relay_auto_schedule(hexagon_launcher):
"""Test conv2d using auto schedule."""
if hexagon_launcher.is_simulator():
- pytest.skip(msg="Tuning on simulator not supported.")
+ pytest.skip("Tuning on simulator not supported.")
i_size, o_size, h_size, w_size = 64, 64, 56, 56
k_height_size = k_width_size = 3
@@ -447,7 +447,7 @@ def test_dense_relay_auto_schedule(hexagon_launcher):
dense on Hexagon is extremely slow.
"""
if hexagon_launcher.is_simulator():
- pytest.skip(msg="Tuning on simulator not supported.")
+ pytest.skip("Tuning on simulator not supported.")
target_hexagon = tvm.target.hexagon("v69")
target = tvm.target.Target(target_hexagon, host=target_hexagon)
diff --git a/tests/python/contrib/test_hexagon/topi/slice_op/test_cast_slice.py
b/tests/python/contrib/test_hexagon/topi/slice_op/test_cast_slice.py
index 77776bc8da..aa1a53c224 100644
--- a/tests/python/contrib/test_hexagon/topi/slice_op/test_cast_slice.py
+++ b/tests/python/contrib/test_hexagon/topi/slice_op/test_cast_slice.py
@@ -77,7 +77,7 @@ class TestCastF16F32Slice2d:
Top level testing function for cast fp16 to fp32
"""
if hexagon_session.is_simulator():
- pytest.skip(msg="Due to
https://github.com/apache/tvm/issues/11957";)
+ pytest.skip("Due to https://github.com/apache/tvm/issues/11957";)
cast_input = te.placeholder(input_shape, name="A", dtype=dtype)
cast_output = sl.cast_f16_f32_compute(cast_input)
@@ -163,7 +163,7 @@ class TestCastF32F16Slice2d:
Top level testing function for cast fp32 to fp16
"""
if hexagon_session.is_simulator():
- pytest.skip(msg="Due to
https://github.com/apache/tvm/issues/11957";)
+ pytest.skip("Due to https://github.com/apache/tvm/issues/11957";)
cast_input = te.placeholder(input_shape, name="A", dtype=dtype)
cast_output = sl.cast_f32_f16_compute(cast_input)
diff --git a/tests/python/relax/test_codegen_cudnn.py
b/tests/python/relax/test_codegen_cudnn.py
index f342705878..0f911905f8 100644
--- a/tests/python/relax/test_codegen_cudnn.py
+++ b/tests/python/relax/test_codegen_cudnn.py
@@ -198,6 +198,7 @@ def test_conv2d_offload(data_shape, weight_shape, dtype,
with_bias, activation):
tvm.testing.assert_allclose(out, ref, rtol=1e-2, atol=1e-2)
[email protected](reason="flaky test")
@pytest.mark.parametrize(
"data_shape, weight_shape, dtype, with_bias, activation",
[
