public final class ModelContainerSpec extends com.google.protobuf.GeneratedMessageV3 implements ModelContainerSpecOrBuilder
Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).Protobuf type
google.cloud.aiplatform.v1beta1.ModelContainerSpec| Modifier and Type | Class and Description |
|---|---|
static class |
ModelContainerSpec.Builder
Specification of a container for serving predictions.
|
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter| Modifier and Type | Field and Description |
|---|---|
static int |
ARGS_FIELD_NUMBER |
static int |
COMMAND_FIELD_NUMBER |
static int |
DEPLOYMENT_TIMEOUT_FIELD_NUMBER |
static int |
ENV_FIELD_NUMBER |
static int |
GRPC_PORTS_FIELD_NUMBER |
static int |
HEALTH_PROBE_FIELD_NUMBER |
static int |
HEALTH_ROUTE_FIELD_NUMBER |
static int |
IMAGE_URI_FIELD_NUMBER |
static int |
PORTS_FIELD_NUMBER |
static int |
PREDICT_ROUTE_FIELD_NUMBER |
static int |
SHARED_MEMORY_SIZE_MB_FIELD_NUMBER |
static int |
STARTUP_PROBE_FIELD_NUMBER |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
String |
getArgs(int index)
Immutable.
|
com.google.protobuf.ByteString |
getArgsBytes(int index)
Immutable.
|
int |
getArgsCount()
Immutable.
|
com.google.protobuf.ProtocolStringList |
getArgsList()
Immutable.
|
String |
getCommand(int index)
Immutable.
|
com.google.protobuf.ByteString |
getCommandBytes(int index)
Immutable.
|
int |
getCommandCount()
Immutable.
|
com.google.protobuf.ProtocolStringList |
getCommandList()
Immutable.
|
static ModelContainerSpec |
getDefaultInstance() |
ModelContainerSpec |
getDefaultInstanceForType() |
com.google.protobuf.Duration |
getDeploymentTimeout()
Immutable.
|
com.google.protobuf.DurationOrBuilder |
getDeploymentTimeoutOrBuilder()
Immutable.
|
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
EnvVar |
getEnv(int index)
Immutable.
|
int |
getEnvCount()
Immutable.
|
List<EnvVar> |
getEnvList()
Immutable.
|
EnvVarOrBuilder |
getEnvOrBuilder(int index)
Immutable.
|
List<? extends EnvVarOrBuilder> |
getEnvOrBuilderList()
Immutable.
|
Port |
getGrpcPorts(int index)
Immutable.
|
int |
getGrpcPortsCount()
Immutable.
|
List<Port> |
getGrpcPortsList()
Immutable.
|
PortOrBuilder |
getGrpcPortsOrBuilder(int index)
Immutable.
|
List<? extends PortOrBuilder> |
getGrpcPortsOrBuilderList()
Immutable.
|
Probe |
getHealthProbe()
Immutable.
|
ProbeOrBuilder |
getHealthProbeOrBuilder()
Immutable.
|
String |
getHealthRoute()
Immutable.
|
com.google.protobuf.ByteString |
getHealthRouteBytes()
Immutable.
|
String |
getImageUri()
Required.
|
com.google.protobuf.ByteString |
getImageUriBytes()
Required.
|
com.google.protobuf.Parser<ModelContainerSpec> |
getParserForType() |
Port |
getPorts(int index)
Immutable.
|
int |
getPortsCount()
Immutable.
|
List<Port> |
getPortsList()
Immutable.
|
PortOrBuilder |
getPortsOrBuilder(int index)
Immutable.
|
List<? extends PortOrBuilder> |
getPortsOrBuilderList()
Immutable.
|
String |
getPredictRoute()
Immutable.
|
com.google.protobuf.ByteString |
getPredictRouteBytes()
Immutable.
|
int |
getSerializedSize() |
long |
getSharedMemorySizeMb()
Immutable.
|
Probe |
getStartupProbe()
Immutable.
|
ProbeOrBuilder |
getStartupProbeOrBuilder()
Immutable.
|
boolean |
hasDeploymentTimeout()
Immutable.
|
int |
hashCode() |
boolean |
hasHealthProbe()
Immutable.
|
boolean |
hasStartupProbe()
Immutable.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
static ModelContainerSpec.Builder |
newBuilder() |
static ModelContainerSpec.Builder |
newBuilder(ModelContainerSpec prototype) |
ModelContainerSpec.Builder |
newBuilderForType() |
protected ModelContainerSpec.Builder |
newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected Object |
newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static ModelContainerSpec |
parseDelimitedFrom(InputStream input) |
static ModelContainerSpec |
parseDelimitedFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelContainerSpec |
parseFrom(byte[] data) |
static ModelContainerSpec |
parseFrom(byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelContainerSpec |
parseFrom(ByteBuffer data) |
static ModelContainerSpec |
parseFrom(ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelContainerSpec |
parseFrom(com.google.protobuf.ByteString data) |
static ModelContainerSpec |
parseFrom(com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelContainerSpec |
parseFrom(com.google.protobuf.CodedInputStream input) |
static ModelContainerSpec |
parseFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelContainerSpec |
parseFrom(InputStream input) |
static ModelContainerSpec |
parseFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static com.google.protobuf.Parser<ModelContainerSpec> |
parser() |
ModelContainerSpec.Builder |
toBuilder() |
void |
writeTo(com.google.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic static final int IMAGE_URI_FIELD_NUMBER
public static final int COMMAND_FIELD_NUMBER
public static final int ARGS_FIELD_NUMBER
public static final int ENV_FIELD_NUMBER
public static final int PORTS_FIELD_NUMBER
public static final int PREDICT_ROUTE_FIELD_NUMBER
public static final int HEALTH_ROUTE_FIELD_NUMBER
public static final int GRPC_PORTS_FIELD_NUMBER
public static final int DEPLOYMENT_TIMEOUT_FIELD_NUMBER
public static final int SHARED_MEMORY_SIZE_MB_FIELD_NUMBER
public static final int STARTUP_PROBE_FIELD_NUMBER
public static final int HEALTH_PROBE_FIELD_NUMBER
protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
newInstance in class com.google.protobuf.GeneratedMessageV3public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3public String getImageUri()
Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
getImageUri in interface ModelContainerSpecOrBuilderpublic com.google.protobuf.ByteString getImageUriBytes()
Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the [container publishing requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing), including permissions requirements for the Vertex AI Service Agent. The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored internally, and this original path is afterwards not used. To learn about the requirements for the Docker image itself, see [Custom container requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#). You can use the URI to one of Vertex AI's [pre-built container images for prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers) in this field.
string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
getImageUriBytes in interface ModelContainerSpecOrBuilderpublic com.google.protobuf.ProtocolStringList getCommandList()
Immutable. Specifies the command that runs when the container starts. This overrides the container's [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint). Specify this field as an array of executable and arguments, similar to a Docker `ENTRYPOINT`'s "exec" form, not its "shell" form. If you do not specify this field, then the container's `ENTRYPOINT` runs, in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either exists. If this field is not specified and the container does not have an `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). If you specify this field, then you can also specify the `args` field to provide additional arguments for this command. However, if you specify this field, then the container's `CMD` is ignored. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the `command` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];getCommandList in interface ModelContainerSpecOrBuilderpublic int getCommandCount()
Immutable. Specifies the command that runs when the container starts. This overrides the container's [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint). Specify this field as an array of executable and arguments, similar to a Docker `ENTRYPOINT`'s "exec" form, not its "shell" form. If you do not specify this field, then the container's `ENTRYPOINT` runs, in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either exists. If this field is not specified and the container does not have an `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). If you specify this field, then you can also specify the `args` field to provide additional arguments for this command. However, if you specify this field, then the container's `CMD` is ignored. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the `command` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];getCommandCount in interface ModelContainerSpecOrBuilderpublic String getCommand(int index)
Immutable. Specifies the command that runs when the container starts. This overrides the container's [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint). Specify this field as an array of executable and arguments, similar to a Docker `ENTRYPOINT`'s "exec" form, not its "shell" form. If you do not specify this field, then the container's `ENTRYPOINT` runs, in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either exists. If this field is not specified and the container does not have an `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). If you specify this field, then you can also specify the `args` field to provide additional arguments for this command. However, if you specify this field, then the container's `CMD` is ignored. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the `command` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];getCommand in interface ModelContainerSpecOrBuilderindex - The index of the element to return.public com.google.protobuf.ByteString getCommandBytes(int index)
Immutable. Specifies the command that runs when the container starts. This overrides the container's [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint). Specify this field as an array of executable and arguments, similar to a Docker `ENTRYPOINT`'s "exec" form, not its "shell" form. If you do not specify this field, then the container's `ENTRYPOINT` runs, in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd), if either exists. If this field is not specified and the container does not have an `ENTRYPOINT`, then refer to the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). If you specify this field, then you can also specify the `args` field to provide additional arguments for this command. However, if you specify this field, then the container's `CMD` is ignored. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the `command` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];getCommandBytes in interface ModelContainerSpecOrBuilderindex - The index of the value to return.public com.google.protobuf.ProtocolStringList getArgsList()
Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];getArgsList in interface ModelContainerSpecOrBuilderpublic int getArgsCount()
Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];getArgsCount in interface ModelContainerSpecOrBuilderpublic String getArgs(int index)
Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];getArgs in interface ModelContainerSpecOrBuilderindex - The index of the element to return.public com.google.protobuf.ByteString getArgsBytes(int index)
Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];getArgsBytes in interface ModelContainerSpecOrBuilderindex - The index of the value to return.public List<EnvVar> getEnvList()
Immutable. List of environment variables to set in the container. After the
container starts running, code running in the container can read these
environment variables.
Additionally, the
[command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
[args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
reference these variables. Later entries in this list can also reference
earlier entries. For example, the following example sets the variable
`VAR_2` to have the value `foo bar`:
```json
[
{
"name": "VAR_1",
"value": "foo"
},
{
"name": "VAR_2",
"value": "$(VAR_1) bar"
}
]
```
If you switch the order of the variables in the example, then the expansion
does not occur.
This field corresponds to the `env` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
getEnvList in interface ModelContainerSpecOrBuilderpublic List<? extends EnvVarOrBuilder> getEnvOrBuilderList()
Immutable. List of environment variables to set in the container. After the
container starts running, code running in the container can read these
environment variables.
Additionally, the
[command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
[args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
reference these variables. Later entries in this list can also reference
earlier entries. For example, the following example sets the variable
`VAR_2` to have the value `foo bar`:
```json
[
{
"name": "VAR_1",
"value": "foo"
},
{
"name": "VAR_2",
"value": "$(VAR_1) bar"
}
]
```
If you switch the order of the variables in the example, then the expansion
does not occur.
This field corresponds to the `env` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
getEnvOrBuilderList in interface ModelContainerSpecOrBuilderpublic int getEnvCount()
Immutable. List of environment variables to set in the container. After the
container starts running, code running in the container can read these
environment variables.
Additionally, the
[command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
[args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
reference these variables. Later entries in this list can also reference
earlier entries. For example, the following example sets the variable
`VAR_2` to have the value `foo bar`:
```json
[
{
"name": "VAR_1",
"value": "foo"
},
{
"name": "VAR_2",
"value": "$(VAR_1) bar"
}
]
```
If you switch the order of the variables in the example, then the expansion
does not occur.
This field corresponds to the `env` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
getEnvCount in interface ModelContainerSpecOrBuilderpublic EnvVar getEnv(int index)
Immutable. List of environment variables to set in the container. After the
container starts running, code running in the container can read these
environment variables.
Additionally, the
[command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
[args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
reference these variables. Later entries in this list can also reference
earlier entries. For example, the following example sets the variable
`VAR_2` to have the value `foo bar`:
```json
[
{
"name": "VAR_1",
"value": "foo"
},
{
"name": "VAR_2",
"value": "$(VAR_1) bar"
}
]
```
If you switch the order of the variables in the example, then the expansion
does not occur.
This field corresponds to the `env` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
getEnv in interface ModelContainerSpecOrBuilderpublic EnvVarOrBuilder getEnvOrBuilder(int index)
Immutable. List of environment variables to set in the container. After the
container starts running, code running in the container can read these
environment variables.
Additionally, the
[command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
[args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can
reference these variables. Later entries in this list can also reference
earlier entries. For example, the following example sets the variable
`VAR_2` to have the value `foo bar`:
```json
[
{
"name": "VAR_1",
"value": "foo"
},
{
"name": "VAR_2",
"value": "$(VAR_1) bar"
}
]
```
If you switch the order of the variables in the example, then the expansion
does not occur.
This field corresponds to the `env` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];
getEnvOrBuilder in interface ModelContainerSpecOrBuilderpublic List<Port> getPortsList()
Immutable. List of ports to expose from the container. Vertex AI sends any
prediction requests that it receives to the first port on this list. Vertex
AI also sends
[liveness and health
checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
to this port.
If you do not specify this field, it defaults to following value:
```json
[
{
"containerPort": 8080
}
]
```
Vertex AI does not use ports other than the first one listed. This field
corresponds to the `ports` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
getPortsList in interface ModelContainerSpecOrBuilderpublic List<? extends PortOrBuilder> getPortsOrBuilderList()
Immutable. List of ports to expose from the container. Vertex AI sends any
prediction requests that it receives to the first port on this list. Vertex
AI also sends
[liveness and health
checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
to this port.
If you do not specify this field, it defaults to following value:
```json
[
{
"containerPort": 8080
}
]
```
Vertex AI does not use ports other than the first one listed. This field
corresponds to the `ports` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
getPortsOrBuilderList in interface ModelContainerSpecOrBuilderpublic int getPortsCount()
Immutable. List of ports to expose from the container. Vertex AI sends any
prediction requests that it receives to the first port on this list. Vertex
AI also sends
[liveness and health
checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
to this port.
If you do not specify this field, it defaults to following value:
```json
[
{
"containerPort": 8080
}
]
```
Vertex AI does not use ports other than the first one listed. This field
corresponds to the `ports` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
getPortsCount in interface ModelContainerSpecOrBuilderpublic Port getPorts(int index)
Immutable. List of ports to expose from the container. Vertex AI sends any
prediction requests that it receives to the first port on this list. Vertex
AI also sends
[liveness and health
checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
to this port.
If you do not specify this field, it defaults to following value:
```json
[
{
"containerPort": 8080
}
]
```
Vertex AI does not use ports other than the first one listed. This field
corresponds to the `ports` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
getPorts in interface ModelContainerSpecOrBuilderpublic PortOrBuilder getPortsOrBuilder(int index)
Immutable. List of ports to expose from the container. Vertex AI sends any
prediction requests that it receives to the first port on this list. Vertex
AI also sends
[liveness and health
checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
to this port.
If you do not specify this field, it defaults to following value:
```json
[
{
"containerPort": 8080
}
]
```
Vertex AI does not use ports other than the first one listed. This field
corresponds to the `ports` field of the Kubernetes Containers
[v1 core
API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
repeated .google.cloud.aiplatform.v1beta1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];
getPortsOrBuilder in interface ModelContainerSpecOrBuilderpublic String getPredictRoute()
Immutable. HTTP path on the container to send prediction requests to. Vertex AI forwards requests sent using [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this path on the container's IP address and port. Vertex AI then returns the container's response in the API response. For example, if you set this field to `/foo`, then when Vertex AI receives a prediction request, it forwards the request body in a POST request to the `/foo` path on the port of your container specified by the first value of this `ModelContainerSpec`'s [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field. If you don't specify this field, it defaults to the following value when you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows: * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`. (Vertex AI makes this value available to your container code as the [`AIP_DEPLOYED_MODEL_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];getPredictRoute in interface ModelContainerSpecOrBuilderpublic com.google.protobuf.ByteString getPredictRouteBytes()
Immutable. HTTP path on the container to send prediction requests to. Vertex AI forwards requests sent using [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this path on the container's IP address and port. Vertex AI then returns the container's response in the API response. For example, if you set this field to `/foo`, then when Vertex AI receives a prediction request, it forwards the request body in a POST request to the `/foo` path on the port of your container specified by the first value of this `ModelContainerSpec`'s [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field. If you don't specify this field, it defaults to the following value when you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows: * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`. (Vertex AI makes this value available to your container code as the [`AIP_DEPLOYED_MODEL_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];getPredictRouteBytes in interface ModelContainerSpecOrBuilderpublic String getHealthRoute()
Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field. If you don't specify this field, it defaults to the following value when you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows: * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`. (Vertex AI makes this value available to your container code as the [`AIP_DEPLOYED_MODEL_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];getHealthRoute in interface ModelContainerSpecOrBuilderpublic com.google.protobuf.ByteString getHealthRouteBytes()
Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about [health checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health). For example, if you set this field to `/bar`, then Vertex AI intermittently sends a GET request to the `/bar` path on the port of your container specified by the first value of this `ModelContainerSpec`'s [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field. If you don't specify this field, it defaults to the following value when you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows: * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the [`AIP_ENDPOINT_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).) * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`. (Vertex AI makes this value available to your container code as the [`AIP_DEPLOYED_MODEL_ID` environment variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];getHealthRouteBytes in interface ModelContainerSpecOrBuilderpublic List<Port> getGrpcPortsList()
Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port. If you do not specify this field, gRPC requests to the container will be disabled. Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers v1 core API.
repeated .google.cloud.aiplatform.v1beta1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];
getGrpcPortsList in interface ModelContainerSpecOrBuilderpublic List<? extends PortOrBuilder> getGrpcPortsOrBuilderList()
Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port. If you do not specify this field, gRPC requests to the container will be disabled. Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers v1 core API.
repeated .google.cloud.aiplatform.v1beta1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];
getGrpcPortsOrBuilderList in interface ModelContainerSpecOrBuilderpublic int getGrpcPortsCount()
Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port. If you do not specify this field, gRPC requests to the container will be disabled. Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers v1 core API.
repeated .google.cloud.aiplatform.v1beta1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];
getGrpcPortsCount in interface ModelContainerSpecOrBuilderpublic Port getGrpcPorts(int index)
Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port. If you do not specify this field, gRPC requests to the container will be disabled. Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers v1 core API.
repeated .google.cloud.aiplatform.v1beta1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];
getGrpcPorts in interface ModelContainerSpecOrBuilderpublic PortOrBuilder getGrpcPortsOrBuilder(int index)
Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port. If you do not specify this field, gRPC requests to the container will be disabled. Vertex AI does not use ports other than the first one listed. This field corresponds to the `ports` field of the Kubernetes Containers v1 core API.
repeated .google.cloud.aiplatform.v1beta1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];
getGrpcPortsOrBuilder in interface ModelContainerSpecOrBuilderpublic boolean hasDeploymentTimeout()
Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.
.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];
hasDeploymentTimeout in interface ModelContainerSpecOrBuilderpublic com.google.protobuf.Duration getDeploymentTimeout()
Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.
.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];
getDeploymentTimeout in interface ModelContainerSpecOrBuilderpublic com.google.protobuf.DurationOrBuilder getDeploymentTimeoutOrBuilder()
Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.
.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];
getDeploymentTimeoutOrBuilder in interface ModelContainerSpecOrBuilderpublic long getSharedMemorySizeMb()
Immutable. The amount of the VM memory to reserve as the shared memory for the model in megabytes.
int64 shared_memory_size_mb = 11 [(.google.api.field_behavior) = IMMUTABLE];getSharedMemorySizeMb in interface ModelContainerSpecOrBuilderpublic boolean hasStartupProbe()
Immutable. Specification for Kubernetes startup probe.
.google.cloud.aiplatform.v1beta1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];
hasStartupProbe in interface ModelContainerSpecOrBuilderpublic Probe getStartupProbe()
Immutable. Specification for Kubernetes startup probe.
.google.cloud.aiplatform.v1beta1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];
getStartupProbe in interface ModelContainerSpecOrBuilderpublic ProbeOrBuilder getStartupProbeOrBuilder()
Immutable. Specification for Kubernetes startup probe.
.google.cloud.aiplatform.v1beta1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];
getStartupProbeOrBuilder in interface ModelContainerSpecOrBuilderpublic boolean hasHealthProbe()
Immutable. Specification for Kubernetes readiness probe.
.google.cloud.aiplatform.v1beta1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];
hasHealthProbe in interface ModelContainerSpecOrBuilderpublic Probe getHealthProbe()
Immutable. Specification for Kubernetes readiness probe.
.google.cloud.aiplatform.v1beta1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];
getHealthProbe in interface ModelContainerSpecOrBuilderpublic ProbeOrBuilder getHealthProbeOrBuilder()
Immutable. Specification for Kubernetes readiness probe.
.google.cloud.aiplatform.v1beta1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];
getHealthProbeOrBuilder in interface ModelContainerSpecOrBuilderpublic final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3public void writeTo(com.google.protobuf.CodedOutputStream output)
throws IOException
writeTo in interface com.google.protobuf.MessageLitewriteTo in class com.google.protobuf.GeneratedMessageV3IOExceptionpublic int getSerializedSize()
getSerializedSize in interface com.google.protobuf.MessageLitegetSerializedSize in class com.google.protobuf.GeneratedMessageV3public boolean equals(Object obj)
equals in interface com.google.protobuf.Messageequals in class com.google.protobuf.AbstractMessagepublic int hashCode()
hashCode in interface com.google.protobuf.MessagehashCode in class com.google.protobuf.AbstractMessagepublic static ModelContainerSpec parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelContainerSpec parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelContainerSpec parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelContainerSpec parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelContainerSpec parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelContainerSpec parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelContainerSpec parseFrom(InputStream input) throws IOException
IOExceptionpublic static ModelContainerSpec parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static ModelContainerSpec parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static ModelContainerSpec parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static ModelContainerSpec parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static ModelContainerSpec parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic ModelContainerSpec.Builder newBuilderForType()
newBuilderForType in interface com.google.protobuf.MessagenewBuilderForType in interface com.google.protobuf.MessageLitepublic static ModelContainerSpec.Builder newBuilder()
public static ModelContainerSpec.Builder newBuilder(ModelContainerSpec prototype)
public ModelContainerSpec.Builder toBuilder()
toBuilder in interface com.google.protobuf.MessagetoBuilder in interface com.google.protobuf.MessageLiteprotected ModelContainerSpec.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class com.google.protobuf.GeneratedMessageV3public static ModelContainerSpec getDefaultInstance()
public static com.google.protobuf.Parser<ModelContainerSpec> parser()
public com.google.protobuf.Parser<ModelContainerSpec> getParserForType()
getParserForType in interface com.google.protobuf.MessagegetParserForType in interface com.google.protobuf.MessageLitegetParserForType in class com.google.protobuf.GeneratedMessageV3public ModelContainerSpec getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderCopyright © 2025 Google LLC. All rights reserved.