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feature: upgrade neo mxnet to 1.8 #2235

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Merged
merged 3 commits into from
Mar 25, 2021
Merged

feature: upgrade neo mxnet to 1.8 #2235

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e10b53a
upgrade neo mxnet to 1.8
prats13bag Mar 23, 2021
978750f
Merge branch 'master' into upgrade-neomxnet
icywang86rui Mar 24, 2021
ff4674f
Merge branch 'master' into upgrade-neomxnet
icywang86rui Mar 24, 2021
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25 changes: 13 additions & 12 deletions src/sagemaker/image_uri_config/neo-mxnet.json
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Original file line number Diff line number Diff line change
Expand Up @@ -2,20 +2,21 @@
"processors": ["cpu", "gpu"],
"scope": ["inference"],
"version_aliases": {
"0.12.1": "1.7",
"1.0.0": "1.7",
"1.1.0": "1.7",
"1.2": "1.7",
"1.2.0": "1.7",
"1.2.1": "1.7",
"1.3": "1.7",
"1.3.0": "1.7",
"1.4": "1.7",
"1.4.0": "1.7",
"1.4.1": "1.7"
"0.12.1": "1.8",
"1.0.0": "1.8",
"1.1.0": "1.8",
"1.2": "1.8",
"1.2.0": "1.8",
"1.2.1": "1.8",
"1.3": "1.8",
"1.3.0": "1.8",
"1.4": "1.8",
"1.4.0": "1.8",
"1.4.1": "1.8",
"1.7": "1.8"
},
"versions": {
"1.7": {
"1.8": {
"py_versions": ["py3"],
"registries": {
"af-south-1": "774647643957",
Expand Down
4 changes: 2 additions & 2 deletions tests/data/mxnet_mnist/mnist_neo.py
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Expand Up @@ -105,7 +105,7 @@ def train(


def model_fn(path_to_model_files):
import neomxnet # noqa: F401
import neomx # noqa: F401

ctx = mx.cpu()
sym, arg_params, aux_params = mx.model.load_checkpoint(
Expand All @@ -120,7 +120,7 @@ def model_fn(path_to_model_files):


def transform_fn(mod, payload, input_content_type, requested_output_content_type):
import neomxnet # noqa: F401
import neomx # noqa: F401

if input_content_type != "application/vnd+python.numpy+binary":
raise RuntimeError("Input content type must be application/vnd+python.numpy+binary")
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6 changes: 3 additions & 3 deletions tests/integ/test_neo_mxnet.py
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Expand Up @@ -71,7 +71,7 @@ def test_attach_deploy(

estimator.compile_model(
target_instance_family=cpu_instance_family,
input_shape={"data": [1, 1, 28, 28], "softmax_label": [1]},
input_shape={"data": [1, 1, 28, 28]},
output_path=estimator.output_path,
)

Expand Down Expand Up @@ -121,7 +121,7 @@ def test_deploy_model(

model.compile(
target_instance_family=cpu_instance_family,
input_shape={"data": [1, 1, 28, 28], "softmax_label": [1]},
input_shape={"data": [1, 1, 28, 28]},
role=role,
job_name=unique_name_from_base("test-deploy-model-compilation-job"),
output_path="/".join(model_data.split("/")[:-1]),
Expand Down Expand Up @@ -163,7 +163,7 @@ def test_inferentia_deploy_model(

model.compile(
target_instance_family=inf_instance_family,
input_shape={"data": [1, 1, 28, 28], "softmax_label": [1]},
input_shape={"data": [1, 1, 28, 28]},
role=role,
job_name=unique_name_from_base("test-deploy-model-compilation-job"),
output_path="/".join(model_data.split("/")[:-1]),
Expand Down