RL4J: Replace gym-java-client with JavaCPP (#8595)
* RL4J: Replace gym-java-client with JavaCPP Signed-off-by: Samuel Audet <samuel.audet@gmail.com>master
Samuel Audet
GitHub
parent
49955eaafc
commit
9edbefdc67
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@ -7,7 +7,6 @@ Welcome to the new monorepo of Deeplearning4j that contains the source code for
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* https://github.com/eclipse/deeplearning4j/tree/master/datavec
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* https://github.com/eclipse/deeplearning4j/tree/master/arbiter
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* https://github.com/eclipse/deeplearning4j/tree/master/nd4s
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* https://github.com/eclipse/deeplearning4j/tree/master/gym-java-client
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* https://github.com/eclipse/deeplearning4j/tree/master/rl4j
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* https://github.com/eclipse/deeplearning4j/tree/master/scalnet
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* https://github.com/eclipse/deeplearning4j/tree/master/pydl4j
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@ -1,4 +0,0 @@
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target/
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.idea/
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*.iml
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*-git.properties
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@ -1,201 +0,0 @@
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@ -1,108 +0,0 @@
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# gym-java-client
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A java http client for [gym-http-api](https://github.com/openai/gym-http-api).
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Note: If you are encountering errors as reported in [issue #13](https://github.com/deeplearning4j/gym-java-client/issues/13), please execute the following command before launching `python gym_http_server.py`:
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```bash
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$ sudo sysctl -w net.ipv4.tcp_tw_recycle=1
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```
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# Quickstart
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To create a new Client, use the ClientFactory. If the url is not localhost:5000, provide it as a second argument
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```java
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Client<Box, Integer, DiscreteSpace> client = ClientFactory.build("CartPole-v0");
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```
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"CartPole-v0" is the name of the gym environment.
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The type parameters of a client are the Observation type, the Action type, the Observation Space type and the ActionSpace type.
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It is a bit cumbersome to both declare an ActionSpace and an Action since an ActionSpace knows what type is an Action but unfortunately java does't support type member and path dependant types.
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Here we use Box and BoxSpace for the environment and Integer and Discrete Space because it is how [CartPole-v0](https://gym.openai.com/envs/CartPole-v0) is specified.
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The methods nomenclature follows closely the api interface of [gym-http-api](https://github.com/openai/gym-http-api#api-specification), O is Observation an A is Action:
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```java
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//Static methods
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/**
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* @param url url of the server
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* @return set of all environments running on the server at the url
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*/
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public static Set<String> listAll(String url);
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/**
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* Shutdown the server at the url
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*
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* @param url url of the server
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*/
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public static void serverShutdown(String url);
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//Methods accessible from a Client
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/**
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* @return set of all environments running on the same server than this client
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*/
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public Set<String> listAll();
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/**
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* Step the environment by one action
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*
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* @param action action to step the environment with
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* @return the StepReply containing the next observation, the reward, if it is a terminal state and optional information.
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*/
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public StepReply<O> step(A action);
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/**
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* Reset the state of the environment and return an initial observation.
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*
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* @return initial observation
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*/
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public O reset();
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/**
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* Start monitoring.
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*
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* @param directory path to directory in which store the monitoring file
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* @param force clear out existing training data from this directory (by deleting every file prefixed with "openaigym.")
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* @param resume retain the training data already in this directory, which will be merged with our new data
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*/
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public void monitorStart(String directory, boolean force, boolean resume);
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/**
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* Flush all monitor data to disk
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*/
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public void monitorClose();
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/**
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* Upload monitoring data to OpenAI servers.
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*
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* @param trainingDir directory that contains the monitoring data
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* @param apiKey personal OpenAI API key
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* @param algorithmId an arbitrary string indicating the paricular version of the algorithm (including choices of parameters) you are running.
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**/
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public void upload(String trainingDir, String apiKey, String algorithmId);
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/**
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* Upload monitoring data to OpenAI servers.
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*
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* @param trainingDir directory that contains the monitoring data
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* @param apiKey personal OpenAI API key
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*/
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public void upload(String trainingDir, String apiKey);
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/**
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* Shutdown the server at the same url than this client
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*/
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public void serverShutdown()
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```
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## TODO
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* Add all ObservationSpace and ActionSpace when they will be available.
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@ -1,354 +0,0 @@
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<?xml version="1.0" encoding="UTF-8" standalone="no"?>
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<!--~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~ Copyright (c) 2015-2018 Skymind, Inc.
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~
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~ This program and the accompanying materials are made available under the
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~ terms of the Apache License, Version 2.0 which is available at
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~ https://www.apache.org/licenses/LICENSE-2.0.
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~
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~ Unless required by applicable law or agreed to in writing, software
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~ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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~ WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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~ License for the specific language governing permissions and limitations
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~ under the License.
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~
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~ SPDX-License-Identifier: Apache-2.0
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~-->
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_new_line_after_annotation_on_parameter" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_opening_angle_bracket_in_type_parameters" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_between_empty_parens_in_method_invocation" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.comment.format_javadoc_comments" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_arguments_in_enum_constant" value="16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_new_line_before_while_in_do_statement" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_arguments_in_enum_constant.count_dependent" value="16|-1|16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.comment.line_length" value="120"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_new_line_after_annotation_on_package" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.blank_lines_between_import_groups" value="1"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_comma_in_enum_constant_arguments" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_semicolon" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.brace_position_for_constructor_declaration" value="end_of_line"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.number_of_blank_lines_at_beginning_of_method_body" value="0"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_colon_in_conditional" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.indent_body_declarations_compare_to_type_header" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_paren_in_annotation_type_member_declaration" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.wrap_before_binary_operator" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.blank_lines_between_type_declarations" value="2"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.indent_body_declarations_compare_to_enum_declaration_header" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_closing_paren_in_synchronized" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_superinterfaces_in_enum_declaration" value="16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.indent_statements_compare_to_block" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.join_lines_in_comments" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_question_in_conditional" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_comma_in_multiple_field_declarations" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_compact_if" value="16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_comma_in_for_inits" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.indent_switchstatements_compare_to_cases" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_comma_in_array_initializer" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_colon_in_default" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_and_in_type_parameter" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_between_empty_parens_in_constructor_declaration" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.blank_lines_before_imports" value="0"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_colon_in_assert" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_annotations_on_field" value="1585"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.comment.format_html" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_throws_clause_in_method_declaration" value="16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_closing_angle_bracket_in_type_parameters" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_bracket_in_array_allocation_expression" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_new_line_in_empty_anonymous_type_declaration" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_colon_in_conditional" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_opening_angle_bracket_in_parameterized_type_reference" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_closing_paren_in_for" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_expressions_in_array_initializer.count_dependent" value="16|5|80"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_postfix_operator" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.comment.format_source_code" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_paren_in_synchronized" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_comma_in_allocation_expression" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_comma_in_constructor_declaration_throws" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_parameters_in_method_declaration" value="16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_closing_brace_in_array_initializer" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.compiler.codegen.targetPlatform" value="1.7"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_resources_in_try" value="80"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.use_tabs_only_for_leading_indentations" value="false"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_arguments_in_annotation" value="16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.comment.format_header" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.comment.format_block_comments" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_closing_paren_in_enum_constant" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_enum_constants" value="0"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_closing_paren_in_parenthesized_expression" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.indent_body_declarations_compare_to_annotation_declaration_header" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_new_line_in_empty_block" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_paren_in_parenthesized_expression" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_closing_paren_in_catch" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_comma_in_multiple_local_declarations" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_superinterfaces_in_type_declaration.count_dependent" value="16|4|48"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_paren_in_switch" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_comma_in_for_increments" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_annotations_on_method.count_dependent" value="1585|-1|1585"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_opening_paren_in_method_invocation" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_colon_in_assert" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.brace_position_for_type_declaration" value="end_of_line"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_brace_in_array_initializer" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_between_empty_braces_in_array_initializer" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_binary_expression.count_dependent" value="16|-1|16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.wrap_non_simple_member_annotation" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_annotations_on_local_variable" value="1585"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_opening_paren_in_method_declaration" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_semicolon_in_for" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_arguments_in_explicit_constructor_call.count_dependent" value="16|5|80"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_paren_in_catch" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_angle_bracket_in_parameterized_type_reference" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_comma_in_multiple_field_declarations" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_closing_paren_in_annotation" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_generic_type_arguments.count_dependent" value="16|-1|16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_comma_in_parameterized_type_reference" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_arguments_in_allocation_expression.count_dependent" value="16|5|80"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_comma_in_method_invocation_arguments" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_parameters_in_method_declaration.count_dependent" value="16|5|80"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.comment.new_lines_at_javadoc_boundaries" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.blank_lines_after_imports" value="1"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_comma_in_multiple_local_declarations" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.indent_body_declarations_compare_to_enum_constant_header" value="true"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_after_semicolon_in_for" value="insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.never_indent_line_comments_on_first_column" value="false"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_semicolon_in_try_resources" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.alignment_for_for_statement" value="16"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.insert_space_before_opening_angle_bracket_in_type_arguments" value="do not insert"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.never_indent_block_comments_on_first_column" value="false"/>
|
||||
<setting id="org.eclipse.jdt.core.formatter.keep_then_statement_on_same_line" value="false"/>
|
||||
</profile>
|
||||
</profiles>
|
||||
|
|
@ -1,337 +0,0 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
|
||||
<!--~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||||
~ Copyright (c) 2015-2018 Skymind, Inc.
|
||||
~
|
||||
~ This program and the accompanying materials are made available under the
|
||||
~ terms of the Apache License, Version 2.0 which is available at
|
||||
~ https://www.apache.org/licenses/LICENSE-2.0.
|
||||
~
|
||||
~ Unless required by applicable law or agreed to in writing, software
|
||||
~ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
~ WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
~ License for the specific language governing permissions and limitations
|
||||
~ under the License.
|
||||
~
|
||||
~ SPDX-License-Identifier: Apache-2.0
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~-->
|
||||
|
||||
<project xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
|
||||
xmlns="http://maven.apache.org/POM/4.0.0"
|
||||
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
|
||||
|
||||
<parent>
|
||||
<groupId>org.deeplearning4j</groupId>
|
||||
<artifactId>deeplearning4j</artifactId>
|
||||
<version>1.0.0-SNAPSHOT</version>
|
||||
</parent>
|
||||
|
||||
<modelVersion>4.0.0</modelVersion>
|
||||
|
||||
<groupId>org.deeplearning4j</groupId>
|
||||
<artifactId>gym-java-client</artifactId>
|
||||
|
||||
<name>gym-java-client</name>
|
||||
<description>A Java client for Open AI's Reinforcement Learning Gym</description>
|
||||
|
||||
<licenses>
|
||||
<license>
|
||||
<name>Apache License, Version 2.0</name>
|
||||
<url>http://www.apache.org/licenses/LICENSE-2.0.txt</url>
|
||||
<distribution>repo</distribution>
|
||||
</license>
|
||||
</licenses>
|
||||
|
||||
<developers>
|
||||
<developer>
|
||||
<id>rubenfiszel</id>
|
||||
<name>Ruben Fiszel</name>
|
||||
<email>ruben.fiszel@epfl.ch</email>
|
||||
</developer>
|
||||
</developers>
|
||||
|
||||
<properties>
|
||||
<nd4j.backend>nd4j-native</nd4j.backend>
|
||||
</properties>
|
||||
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.nd4j</groupId>
|
||||
<artifactId>${nd4j.backend}</artifactId>
|
||||
<version>${nd4j.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>commons-codec</groupId>
|
||||
<artifactId>commons-codec</artifactId>
|
||||
<version>${commons-codec.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.httpcomponents</groupId>
|
||||
<artifactId>httpclient</artifactId>
|
||||
<version>${httpclient.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.httpcomponents</groupId>
|
||||
<artifactId>httpcore</artifactId>
|
||||
<version>${httpcore.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.httpcomponents</groupId>
|
||||
<artifactId>httpmime</artifactId>
|
||||
<version>${httpmime.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.mashape.unirest</groupId>
|
||||
<artifactId>unirest-java</artifactId>
|
||||
<version>${unirest.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.objenesis</groupId>
|
||||
<artifactId>objenesis</artifactId>
|
||||
<version>${objenesis.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.mockito</groupId>
|
||||
<artifactId>mockito-core</artifactId>
|
||||
<version>${mockito.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.ow2.asm</groupId>
|
||||
<artifactId>asm</artifactId>
|
||||
<version>${asm.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>cglib</groupId>
|
||||
<artifactId>cglib</artifactId>
|
||||
<version>3.1</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>junit</groupId>
|
||||
<artifactId>junit</artifactId>
|
||||
<version>${junit.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.powermock</groupId>
|
||||
<artifactId>powermock-api-mockito2</artifactId>
|
||||
<version>1.7.3</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.powermock</groupId>
|
||||
<artifactId>powermock-module-junit4</artifactId>
|
||||
<version>1.7.3</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.slf4j</groupId>
|
||||
<artifactId>slf4j-api</artifactId>
|
||||
<version>${slf4j.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>ch.qos.logback</groupId>
|
||||
<artifactId>logback-classic</artifactId>
|
||||
<version>${logback.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>ch.qos.logback</groupId>
|
||||
<artifactId>logback-core</artifactId>
|
||||
<version>${logback.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.projectlombok</groupId>
|
||||
<artifactId>lombok</artifactId>
|
||||
<version>${lombok.version}</version>
|
||||
<scope>provided</scope>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
|
||||
<build>
|
||||
<plugins>
|
||||
<plugin>
|
||||
<artifactId>maven-source-plugin</artifactId>
|
||||
<version>${maven-source-plugin.version}</version>
|
||||
<executions>
|
||||
<execution>
|
||||
<id>attach-sources</id>
|
||||
<goals>
|
||||
<goal>jar</goal>
|
||||
</goals>
|
||||
</execution>
|
||||
</executions>
|
||||
</plugin>
|
||||
<plugin>
|
||||
<artifactId>maven-surefire-plugin</artifactId>
|
||||
<version>${maven-surefire-plugin.version}</version>
|
||||
<configuration>
|
||||
<!--
|
||||
By default: Surefire will set the classpath based on the manifest. Because tests are not included
|
||||
in the JAR, any tests that rely on class path scanning for resources in the tests directory will not
|
||||
function correctly without this configuratino.
|
||||
For example, tests for custom layers (where the custom layer is defined in the test directory)
|
||||
will fail due to the custom layer not being found on the classpath.
|
||||
http://maven.apache.org/surefire/maven-surefire-plugin/examples/class-loading.html
|
||||
-->
|
||||
<useSystemClassLoader>true</useSystemClassLoader>
|
||||
<useManifestOnlyJar>false</useManifestOnlyJar>
|
||||
</configuration>
|
||||
</plugin>
|
||||
<plugin>
|
||||
<artifactId>maven-javadoc-plugin</artifactId>
|
||||
<version>${maven-javadoc-plugin.version}</version>
|
||||
<configuration>
|
||||
<additionalparam>-Xdoclint:none</additionalparam>
|
||||
</configuration>
|
||||
<executions>
|
||||
<execution>
|
||||
<id>attach-javadocs</id>
|
||||
<goals>
|
||||
<goal>jar</goal>
|
||||
</goals>
|
||||
</execution>
|
||||
</executions>
|
||||
</plugin>
|
||||
<plugin>
|
||||
<groupId>com.lewisd</groupId>
|
||||
<artifactId>lint-maven-plugin</artifactId>
|
||||
<version>0.0.11</version>
|
||||
<configuration>
|
||||
<failOnViolation>true</failOnViolation>
|
||||
<onlyRunRules>
|
||||
<rule>DuplicateDep</rule>
|
||||
<rule>RedundantDepVersion</rule>
|
||||
<rule>RedundantPluginVersion</rule>
|
||||
<!-- Rules incompatible with Java 9
|
||||
<rule>VersionProp</rule>
|
||||
<rule>DotVersionProperty</rule> -->
|
||||
</onlyRunRules>
|
||||
</configuration>
|
||||
<executions>
|
||||
<execution>
|
||||
<id>pom-lint</id>
|
||||
<phase>validate</phase>
|
||||
<goals>
|
||||
<goal>check</goal>
|
||||
</goals>
|
||||
</execution>
|
||||
</executions>
|
||||
</plugin>
|
||||
<plugin>
|
||||
<groupId>net.revelc.code.formatter</groupId>
|
||||
<artifactId>formatter-maven-plugin</artifactId>
|
||||
<version>2.0.0</version>
|
||||
<configuration>
|
||||
<configFile>${session.executionRootDirectory}/contrib/formatter.xml</configFile>
|
||||
</configuration>
|
||||
</plugin>
|
||||
<!-- Configuration for git-commit-id plugin - used with ND4J version check functionality -->
|
||||
<plugin>
|
||||
<groupId>pl.project13.maven</groupId>
|
||||
<artifactId>git-commit-id-plugin</artifactId>
|
||||
<version>${maven-git-commit-plugin.version}</version>
|
||||
<executions>
|
||||
<execution>
|
||||
<goals>
|
||||
<goal>revision</goal>
|
||||
</goals>
|
||||
<phase>generate-resources</phase>
|
||||
</execution>
|
||||
</executions>
|
||||
<configuration>
|
||||
<generateGitPropertiesFile>true</generateGitPropertiesFile>
|
||||
<generateGitPropertiesFilename>
|
||||
${project.basedir}/target/generated-sources/src/main/resources/ai/skymind/${project.groupId}-${project.artifactId}-git.properties
|
||||
</generateGitPropertiesFilename>
|
||||
<gitDescribe>
|
||||
<skip>true</skip>
|
||||
</gitDescribe>
|
||||
</configuration>
|
||||
</plugin>
|
||||
<!-- Add generated git.properties files resource directory, for output of git-commit-id plugin -->
|
||||
<plugin>
|
||||
<groupId>org.codehaus.mojo</groupId>
|
||||
<artifactId>build-helper-maven-plugin</artifactId>
|
||||
<version>${maven-build-helper-plugin.version}</version>
|
||||
<executions>
|
||||
<execution>
|
||||
<id>add-resource</id>
|
||||
<phase>generate-resources</phase>
|
||||
<goals>
|
||||
<goal>add-resource</goal>
|
||||
</goals>
|
||||
<configuration>
|
||||
<resources>
|
||||
<resource>
|
||||
<directory>
|
||||
${project.basedir}/target/generated-sources/src/main/resources
|
||||
</directory>
|
||||
</resource>
|
||||
</resources>
|
||||
</configuration>
|
||||
</execution>
|
||||
</executions>
|
||||
</plugin>
|
||||
</plugins>
|
||||
<pluginManagement>
|
||||
<plugins>
|
||||
<plugin>
|
||||
<groupId>org.eclipse.m2e</groupId>
|
||||
<artifactId>lifecycle-mapping</artifactId>
|
||||
<version>1.0.0</version>
|
||||
<configuration>
|
||||
<lifecycleMappingMetadata>
|
||||
<pluginExecutions>
|
||||
<pluginExecution>
|
||||
<pluginExecutionFilter>
|
||||
<groupId>com.lewisd</groupId>
|
||||
<artifactId>lint-maven-plugin</artifactId>
|
||||
<versionRange>[0.0.11,)</versionRange>
|
||||
<goals>
|
||||
<goal>check</goal>
|
||||
</goals>
|
||||
</pluginExecutionFilter>
|
||||
<action>
|
||||
<ignore/>
|
||||
</action>
|
||||
</pluginExecution>
|
||||
</pluginExecutions>
|
||||
</lifecycleMappingMetadata>
|
||||
</configuration>
|
||||
</plugin>
|
||||
</plugins>
|
||||
</pluginManagement>
|
||||
</build>
|
||||
|
||||
<reporting>
|
||||
<plugins>
|
||||
<plugin>
|
||||
<artifactId>maven-surefire-report-plugin</artifactId>
|
||||
<version>2.19.1</version>
|
||||
</plugin>
|
||||
<!-- Test coverage -->
|
||||
<plugin>
|
||||
<groupId>org.codehaus.mojo</groupId>
|
||||
<artifactId>cobertura-maven-plugin</artifactId>
|
||||
<version>2.7</version>
|
||||
</plugin>
|
||||
</plugins>
|
||||
</reporting>
|
||||
|
||||
<profiles>
|
||||
<profile>
|
||||
<id>nd4j-backend</id>
|
||||
<activation>
|
||||
<property>
|
||||
<name>libnd4j.cuda</name>
|
||||
</property>
|
||||
</activation>
|
||||
<properties>
|
||||
<nd4j.backend>nd4j-cuda-${libnd4j.cuda}</nd4j.backend>
|
||||
</properties>
|
||||
</profile>
|
||||
</profiles>
|
||||
</project>
|
||||
|
|
@ -1,200 +0,0 @@
|
|||
/*******************************************************************************
|
||||
* Copyright (c) 2015-2018 Skymind, Inc.
|
||||
*
|
||||
* This program and the accompanying materials are made available under the
|
||||
* terms of the Apache License, Version 2.0 which is available at
|
||||
* https://www.apache.org/licenses/LICENSE-2.0.
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* License for the specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*
|
||||
* SPDX-License-Identifier: Apache-2.0
|
||||
******************************************************************************/
|
||||
|
||||
package org.deeplearning4j.gym;
|
||||
|
||||
|
||||
import com.mashape.unirest.http.JsonNode;
|
||||
import lombok.Value;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.deeplearning4j.rl4j.space.GymObservationSpace;
|
||||
import org.deeplearning4j.rl4j.space.ActionSpace;
|
||||
import org.json.JSONObject;
|
||||
|
||||
import java.util.Set;
|
||||
|
||||
/**
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/6/16.
|
||||
*
|
||||
* A client represent an active connection to a specific instance of an environment on a rl4j-http-api server.
|
||||
* for API specification
|
||||
*
|
||||
* @param <O> Observation type
|
||||
* @param <A> Action type
|
||||
* @param <AS> Action Space type
|
||||
* @see <a href="https://github.com/openai/gym-http-api#api-specification">https://github.com/openai/gym-http-api#api-specification</a>
|
||||
*/
|
||||
@Slf4j
|
||||
@Value
|
||||
public class Client<O, A, AS extends ActionSpace<A>> {
|
||||
|
||||
|
||||
public static String V1_ROOT = "/v1";
|
||||
public static String ENVS_ROOT = V1_ROOT + "/envs/";
|
||||
|
||||
public static String MONITOR_START = "/monitor/start/";
|
||||
public static String MONITOR_CLOSE = "/monitor/close/";
|
||||
public static String CLOSE = "/close/";
|
||||
public static String RESET = "/reset/";
|
||||
public static String SHUTDOWN = "/shutdown/";
|
||||
public static String UPLOAD = "/upload/";
|
||||
public static String STEP = "/step/";
|
||||
public static String OBSERVATION_SPACE = "/observation_space/";
|
||||
public static String ACTION_SPACE = "/action_space/";
|
||||
|
||||
|
||||
String url;
|
||||
String envId;
|
||||
String instanceId;
|
||||
GymObservationSpace<O> observationSpace;
|
||||
AS actionSpace;
|
||||
boolean render;
|
||||
|
||||
|
||||
/**
|
||||
* @param url url of the server
|
||||
* @return set of all environments running on the server at the url
|
||||
*/
|
||||
public static Set<String> listAll(String url) {
|
||||
JSONObject reply = ClientUtils.get(url + ENVS_ROOT);
|
||||
return reply.getJSONObject("envs").keySet();
|
||||
}
|
||||
|
||||
/**
|
||||
* Shutdown the server at the url
|
||||
*
|
||||
* @param url url of the server
|
||||
*/
|
||||
public static void serverShutdown(String url) {
|
||||
ClientUtils.post(url + ENVS_ROOT + SHUTDOWN, new JSONObject());
|
||||
}
|
||||
|
||||
/**
|
||||
* @return set of all environments running on the same server than this client
|
||||
*/
|
||||
public Set<String> listAll() {
|
||||
return listAll(url);
|
||||
}
|
||||
|
||||
/**
|
||||
* Step the environment by one action
|
||||
*
|
||||
* @param action action to step the environment with
|
||||
* @return the StepReply containing the next observation, the reward, if it is a terminal state and optional information.
|
||||
*/
|
||||
public StepReply<O> step(A action) {
|
||||
JSONObject body = new JSONObject().put("action", getActionSpace().encode(action)).put("render", render);
|
||||
|
||||
JSONObject reply = ClientUtils.post(url + ENVS_ROOT + instanceId + STEP, body).getObject();
|
||||
|
||||
O observation = observationSpace.getValue(reply, "observation");
|
||||
double reward = reply.getDouble("reward");
|
||||
boolean done = reply.getBoolean("done");
|
||||
JSONObject info = reply.getJSONObject("info");
|
||||
|
||||
return new StepReply<O>(observation, reward, done, info);
|
||||
}
|
||||
|
||||
/**
|
||||
* Reset the state of the environment and return an initial observation.
|
||||
*
|
||||
* @return initial observation
|
||||
*/
|
||||
public O reset() {
|
||||
JsonNode resetRep = ClientUtils.post(url + ENVS_ROOT + instanceId + RESET, new JSONObject());
|
||||
return observationSpace.getValue(resetRep.getObject(), "observation");
|
||||
}
|
||||
|
||||
/*
|
||||
Present in the doc but not working currently server-side
|
||||
public void monitorStart(String directory) {
|
||||
|
||||
JSONObject json = new JSONObject()
|
||||
.put("directory", directory);
|
||||
|
||||
monitorStartPost(json);
|
||||
}
|
||||
*/
|
||||
|
||||
/**
|
||||
* Start monitoring.
|
||||
*
|
||||
* @param directory path to directory in which store the monitoring file
|
||||
* @param force clear out existing training data from this directory (by deleting every file prefixed with "openaigym.")
|
||||
* @param resume retain the training data already in this directory, which will be merged with our new data
|
||||
*/
|
||||
public void monitorStart(String directory, boolean force, boolean resume) {
|
||||
JSONObject json = new JSONObject().put("directory", directory).put("force", force).put("resume", resume);
|
||||
|
||||
monitorStartPost(json);
|
||||
}
|
||||
|
||||
private void monitorStartPost(JSONObject json) {
|
||||
ClientUtils.post(url + ENVS_ROOT + instanceId + MONITOR_START, json);
|
||||
}
|
||||
|
||||
/**
|
||||
* Flush all monitor data to disk
|
||||
*/
|
||||
public void monitorClose() {
|
||||
ClientUtils.post(url + ENVS_ROOT + instanceId + MONITOR_CLOSE, new JSONObject());
|
||||
}
|
||||
|
||||
/**
|
||||
* Upload monitoring data to OpenAI servers.
|
||||
*
|
||||
* @param trainingDir directory that contains the monitoring data
|
||||
* @param apiKey personal OpenAI API key
|
||||
* @param algorithmId an arbitrary string indicating the paricular version of the algorithm (including choices of parameters) you are running.
|
||||
**/
|
||||
public void upload(String trainingDir, String apiKey, String algorithmId) {
|
||||
JSONObject json = new JSONObject().put("training_dir", trainingDir).put("api_key", apiKey).put("algorithm_id",
|
||||
algorithmId);
|
||||
|
||||
uploadPost(json);
|
||||
}
|
||||
|
||||
/**
|
||||
* Upload monitoring data to OpenAI servers.
|
||||
*
|
||||
* @param trainingDir directory that contains the monitoring data
|
||||
* @param apiKey personal OpenAI API key
|
||||
*/
|
||||
public void upload(String trainingDir, String apiKey) {
|
||||
JSONObject json = new JSONObject().put("training_dir", trainingDir).put("api_key", apiKey);
|
||||
|
||||
uploadPost(json);
|
||||
}
|
||||
|
||||
private void uploadPost(JSONObject json) {
|
||||
try {
|
||||
ClientUtils.post(url + V1_ROOT + UPLOAD, json);
|
||||
} catch (RuntimeException e) {
|
||||
log.error("Impossible to upload: Wrong API key?");
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Shutdown the server at the same url than this client
|
||||
*/
|
||||
public void serverShutdown() {
|
||||
serverShutdown(url);
|
||||
}
|
||||
|
||||
public ActionSpace getActionSpace(){
|
||||
return actionSpace;
|
||||
}
|
||||
}
|
||||
|
|
@ -1,90 +0,0 @@
|
|||
/*******************************************************************************
|
||||
* Copyright (c) 2015-2018 Skymind, Inc.
|
||||
*
|
||||
* This program and the accompanying materials are made available under the
|
||||
* terms of the Apache License, Version 2.0 which is available at
|
||||
* https://www.apache.org/licenses/LICENSE-2.0.
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* License for the specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*
|
||||
* SPDX-License-Identifier: Apache-2.0
|
||||
******************************************************************************/
|
||||
|
||||
package org.deeplearning4j.gym;
|
||||
|
||||
import org.deeplearning4j.rl4j.space.ActionSpace;
|
||||
import org.deeplearning4j.rl4j.space.DiscreteSpace;
|
||||
import org.deeplearning4j.rl4j.space.GymObservationSpace;
|
||||
import org.deeplearning4j.rl4j.space.HighLowDiscrete;
|
||||
import org.json.JSONArray;
|
||||
import org.json.JSONException;
|
||||
import org.json.JSONObject;
|
||||
import org.nd4j.linalg.api.ndarray.INDArray;
|
||||
import org.nd4j.linalg.factory.Nd4j;
|
||||
|
||||
|
||||
/**
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
|
||||
*
|
||||
* ClientFactory contains builder method to create a new {@link Client}
|
||||
*/
|
||||
public class ClientFactory {
|
||||
|
||||
public static <O, A, AS extends ActionSpace<A>> Client<O, A, AS> build(String url, String envId, boolean render) {
|
||||
|
||||
JSONObject body = new JSONObject().put("env_id", envId);
|
||||
JSONObject reply = ClientUtils.post(url + Client.ENVS_ROOT, body).getObject();
|
||||
|
||||
String instanceId;
|
||||
|
||||
try {
|
||||
instanceId = reply.getString("instance_id");
|
||||
} catch (JSONException e) {
|
||||
throw new RuntimeException("Environment id not found", e);
|
||||
}
|
||||
|
||||
GymObservationSpace<O> observationSpace = fetchObservationSpace(url, instanceId);
|
||||
AS actionSpace = fetchActionSpace(url, instanceId);
|
||||
|
||||
return new Client(url, envId, instanceId, observationSpace, actionSpace, render);
|
||||
|
||||
}
|
||||
|
||||
public static <O, A, AS extends ActionSpace<A>> Client<O, A, AS> build(String envId, boolean render) {
|
||||
return build("http://127.0.0.1:5000", envId, render);
|
||||
}
|
||||
|
||||
public static <AS extends ActionSpace> AS fetchActionSpace(String url, String instanceId) {
|
||||
|
||||
JSONObject reply = ClientUtils.get(url + Client.ENVS_ROOT + instanceId + Client.ACTION_SPACE);
|
||||
JSONObject info = reply.getJSONObject("info");
|
||||
String infoName = info.getString("name");
|
||||
|
||||
switch (infoName) {
|
||||
case "Discrete":
|
||||
return (AS) new DiscreteSpace(info.getInt("n"));
|
||||
case "HighLow":
|
||||
int numRows = info.getInt("num_rows");
|
||||
int size = 3 * numRows;
|
||||
JSONArray matrixJson = info.getJSONArray("matrix");
|
||||
INDArray matrix = Nd4j.create(numRows, 3);
|
||||
for (int i = 0; i < size; i++) {
|
||||
matrix.putScalar(i, matrixJson.getDouble(i));
|
||||
}
|
||||
matrix.reshape(numRows, 3);
|
||||
return (AS) new HighLowDiscrete(matrix);
|
||||
default:
|
||||
throw new RuntimeException("Unknown action space " + infoName);
|
||||
}
|
||||
}
|
||||
|
||||
public static <O> GymObservationSpace<O> fetchObservationSpace(String url, String instanceId) {
|
||||
JSONObject reply = ClientUtils.get(url + Client.ENVS_ROOT + instanceId + Client.OBSERVATION_SPACE);
|
||||
JSONObject info = reply.getJSONObject("info");
|
||||
return new GymObservationSpace<O>(info);
|
||||
}
|
||||
}
|
||||
|
|
@ -1,75 +0,0 @@
|
|||
/*******************************************************************************
|
||||
* Copyright (c) 2015-2018 Skymind, Inc.
|
||||
*
|
||||
* This program and the accompanying materials are made available under the
|
||||
* terms of the Apache License, Version 2.0 which is available at
|
||||
* https://www.apache.org/licenses/LICENSE-2.0.
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* License for the specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*
|
||||
* SPDX-License-Identifier: Apache-2.0
|
||||
******************************************************************************/
|
||||
|
||||
package org.deeplearning4j.gym;
|
||||
|
||||
import com.mashape.unirest.http.HttpResponse;
|
||||
import com.mashape.unirest.http.JsonNode;
|
||||
import com.mashape.unirest.http.Unirest;
|
||||
import com.mashape.unirest.http.exceptions.UnirestException;
|
||||
import org.json.JSONException;
|
||||
import org.json.JSONObject;
|
||||
|
||||
/**
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
|
||||
*
|
||||
* ClientUtils contain the utility methods to post and get data from the server REST API through the library unirest.
|
||||
*/
|
||||
public class ClientUtils {
|
||||
|
||||
static public JsonNode post(String url, JSONObject json) {
|
||||
HttpResponse<JsonNode> jsonResponse = null;
|
||||
|
||||
try {
|
||||
jsonResponse = Unirest.post(url).header("content-type", "application/json").body(json).asJson();
|
||||
} catch (UnirestException e) {
|
||||
unirestCrash(e);
|
||||
}
|
||||
|
||||
return jsonResponse.getBody();
|
||||
}
|
||||
|
||||
|
||||
static public JSONObject get(String url) {
|
||||
HttpResponse<JsonNode> jsonResponse = null;
|
||||
|
||||
try {
|
||||
jsonResponse = Unirest.get(url).header("content-type", "application/json").asJson();
|
||||
} catch (UnirestException e) {
|
||||
unirestCrash(e);
|
||||
}
|
||||
|
||||
checkReply(jsonResponse, url);
|
||||
|
||||
return jsonResponse.getBody().getObject();
|
||||
}
|
||||
|
||||
|
||||
static public void checkReply(HttpResponse<JsonNode> res, String url) {
|
||||
if (res.getBody() == null)
|
||||
throw new RuntimeException("Invalid reply at: " + url);
|
||||
}
|
||||
|
||||
static public void unirestCrash(UnirestException e) {
|
||||
//if couldn't parse json
|
||||
if (e.getCause().getCause().getCause() instanceof JSONException)
|
||||
throw new RuntimeException("Couldn't parse json reply.", e);
|
||||
else
|
||||
throw new RuntimeException("Connection error", e);
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
|
@ -1,82 +0,0 @@
|
|||
/*******************************************************************************
|
||||
* Copyright (c) 2015-2018 Skymind, Inc.
|
||||
*
|
||||
* This program and the accompanying materials are made available under the
|
||||
* terms of the Apache License, Version 2.0 which is available at
|
||||
* https://www.apache.org/licenses/LICENSE-2.0.
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* License for the specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*
|
||||
* SPDX-License-Identifier: Apache-2.0
|
||||
******************************************************************************/
|
||||
|
||||
package org.deeplearning4j.rl4j.space;
|
||||
|
||||
import lombok.Value;
|
||||
import org.json.JSONArray;
|
||||
import org.json.JSONObject;
|
||||
import org.nd4j.linalg.api.ndarray.INDArray;
|
||||
import org.nd4j.linalg.factory.Nd4j;
|
||||
|
||||
/**
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
|
||||
*
|
||||
* Contain contextual information about the environment from which Observations are observed and must know how to build an Observation from json.
|
||||
*
|
||||
* @param <O> the type of Observation
|
||||
*/
|
||||
|
||||
@Value
|
||||
public class GymObservationSpace<O> implements ObservationSpace<O> {
|
||||
|
||||
String name;
|
||||
int[] shape;
|
||||
INDArray low;
|
||||
INDArray high;
|
||||
|
||||
|
||||
public GymObservationSpace(JSONObject jsonObject) {
|
||||
|
||||
name = jsonObject.getString("name");
|
||||
|
||||
JSONArray arr = jsonObject.getJSONArray("shape");
|
||||
int lg = arr.length();
|
||||
|
||||
shape = new int[lg];
|
||||
for (int i = 0; i < lg; i++) {
|
||||
this.shape[i] = arr.getInt(i);
|
||||
}
|
||||
|
||||
low = Nd4j.create(shape);
|
||||
high = Nd4j.create(shape);
|
||||
|
||||
JSONArray lowJson = jsonObject.getJSONArray("low");
|
||||
JSONArray highJson = jsonObject.getJSONArray("high");
|
||||
|
||||
int size = shape[0];
|
||||
for (int i = 1; i < shape.length; i++) {
|
||||
size *= shape[i];
|
||||
}
|
||||
|
||||
for (int i = 0; i < size; i++) {
|
||||
low.putScalar(i, lowJson.getDouble(i));
|
||||
high.putScalar(i, highJson.getDouble(i));
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public O getValue(JSONObject o, String key) {
|
||||
switch (name) {
|
||||
case "Box":
|
||||
JSONArray arr = o.getJSONArray(key);
|
||||
return (O) new Box(arr);
|
||||
default:
|
||||
throw new RuntimeException("Invalid environment name: " + name);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -1,140 +0,0 @@
|
|||
/*******************************************************************************
|
||||
* Copyright (c) 2015-2018 Skymind, Inc.
|
||||
*
|
||||
* This program and the accompanying materials are made available under the
|
||||
* terms of the Apache License, Version 2.0 which is available at
|
||||
* https://www.apache.org/licenses/LICENSE-2.0.
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* License for the specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*
|
||||
* SPDX-License-Identifier: Apache-2.0
|
||||
******************************************************************************/
|
||||
|
||||
package org.deeplearning4j.gym.test;
|
||||
|
||||
import com.mashape.unirest.http.JsonNode;
|
||||
import org.deeplearning4j.gym.Client;
|
||||
import org.deeplearning4j.gym.ClientFactory;
|
||||
import org.deeplearning4j.gym.ClientUtils;
|
||||
import org.deeplearning4j.gym.StepReply;
|
||||
import org.deeplearning4j.rl4j.space.ActionSpace;
|
||||
import org.deeplearning4j.rl4j.space.Box;
|
||||
import org.deeplearning4j.rl4j.space.DiscreteSpace;
|
||||
import org.json.JSONObject;
|
||||
import org.junit.Test;
|
||||
import org.junit.runner.RunWith;
|
||||
import org.powermock.core.classloader.annotations.PrepareForTest;
|
||||
import org.powermock.modules.junit4.PowerMockRunner;
|
||||
|
||||
import static org.mockito.Matchers.eq;
|
||||
import static org.powermock.api.mockito.PowerMockito.mockStatic;
|
||||
import static org.powermock.api.mockito.PowerMockito.when;
|
||||
|
||||
/**
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/11/16.
|
||||
*/
|
||||
|
||||
@RunWith(PowerMockRunner.class)
|
||||
@PrepareForTest(ClientUtils.class)
|
||||
public class ClientTest {
|
||||
|
||||
@Test
|
||||
public void completeClientTest() {
|
||||
|
||||
String url = "http://127.0.0.1:5000";
|
||||
String env = "Powermock-v0";
|
||||
String instanceID = "e15739cf";
|
||||
String testDir = "/tmp/testDir";
|
||||
boolean render = true;
|
||||
String renderStr = render ? "True" : "False";
|
||||
|
||||
mockStatic(ClientUtils.class);
|
||||
|
||||
//post mock
|
||||
|
||||
JSONObject buildReq = new JSONObject("{\"env_id\":\"" + env + "\"}");
|
||||
JsonNode buildRep = new JsonNode("{\"instance_id\":\"" + instanceID + "\"}");
|
||||
when(ClientUtils.post(eq(url + Client.ENVS_ROOT), JSONObjectMatcher.jsonEq(buildReq))).thenReturn(buildRep);
|
||||
|
||||
JSONObject monStartReq = new JSONObject("{\"resume\":false,\"directory\":\"" + testDir + "\",\"force\":true}");
|
||||
when(ClientUtils.post(eq(url + Client.ENVS_ROOT + instanceID + Client.MONITOR_START),
|
||||
JSONObjectMatcher.jsonEq(monStartReq))).thenReturn(null);
|
||||
|
||||
JSONObject monStopReq = new JSONObject("{}");
|
||||
when(ClientUtils.post(eq(url + Client.ENVS_ROOT + instanceID + Client.MONITOR_CLOSE),
|
||||
JSONObjectMatcher.jsonEq(monStopReq))).thenReturn(null);
|
||||
|
||||
JSONObject resetReq = new JSONObject("{}");
|
||||
JsonNode resetRep = new JsonNode(
|
||||
"{\"observation\":[0.021729452941849317,-0.04764548144956857,-0.024914502756611293,-0.04074903379512588]}");
|
||||
when(ClientUtils.post(eq(url + Client.ENVS_ROOT + instanceID + Client.RESET),
|
||||
JSONObjectMatcher.jsonEq(resetReq))).thenReturn(resetRep);
|
||||
|
||||
JSONObject stepReq = new JSONObject("{\"action\":0, \"render\":" + renderStr + "}");
|
||||
JsonNode stepRep = new JsonNode(
|
||||
"{\"observation\":[0.020776543312857946,-0.24240146656155923,-0.02572948343251381,0.24397017400615437],\"reward\":1,\"done\":false,\"info\":{}}");
|
||||
when(ClientUtils.post(eq(url + Client.ENVS_ROOT + instanceID + Client.STEP), JSONObjectMatcher.jsonEq(stepReq)))
|
||||
.thenReturn(stepRep);
|
||||
|
||||
JSONObject stepReq2 = new JSONObject("{\"action\":1, \"render\":" + renderStr + "}");
|
||||
JsonNode stepRep2 = new JsonNode(
|
||||
"{\"observation\":[0.020776543312857946,-0.24240146656155923,-0.02572948343251381,0.24397017400615437],\"reward\":1,\"done\":false,\"info\":{}}");
|
||||
when(ClientUtils.post(eq(url + Client.ENVS_ROOT + instanceID + Client.STEP),
|
||||
JSONObjectMatcher.jsonEq(stepReq2))).thenReturn(stepRep2);
|
||||
|
||||
//get mock
|
||||
JSONObject obsSpace = new JSONObject(
|
||||
"{\"info\":{\"name\":\"Box\",\"shape\":[4],\"high\":[4.8,3.4028234663852886E38,0.41887902047863906,3.4028234663852886E38],\"low\":[-4.8,-3.4028234663852886E38,-0.41887902047863906,-3.4028234663852886E38]}}");
|
||||
when(ClientUtils.get(eq(url + Client.ENVS_ROOT + instanceID + Client.OBSERVATION_SPACE))).thenReturn(obsSpace);
|
||||
|
||||
JSONObject actionSpace = new JSONObject("{\"info\":{\"name\":\"Discrete\",\"n\":2}}");
|
||||
when(ClientUtils.get(eq(url + Client.ENVS_ROOT + instanceID + Client.ACTION_SPACE))).thenReturn(actionSpace);
|
||||
|
||||
|
||||
//test
|
||||
|
||||
Client<Box, Integer, DiscreteSpace> client = ClientFactory.build(url, env, render);
|
||||
client.monitorStart(testDir, true, false);
|
||||
|
||||
int episodeCount = 1;
|
||||
int maxSteps = 200;
|
||||
int reward = 0;
|
||||
|
||||
for (int i = 0; i < episodeCount; i++) {
|
||||
client.reset();
|
||||
|
||||
for (int j = 0; j < maxSteps; j++) {
|
||||
|
||||
Integer action = ((ActionSpace<Integer>)client.getActionSpace()).randomAction();
|
||||
StepReply<Box> step = client.step(action);
|
||||
reward += step.getReward();
|
||||
|
||||
//return a isDone true before i == maxSteps
|
||||
if (j == maxSteps - 5) {
|
||||
JSONObject stepReqLoc = new JSONObject("{\"action\":0}");
|
||||
JsonNode stepRepLoc = new JsonNode(
|
||||
"{\"observation\":[0.020776543312857946,-0.24240146656155923,-0.02572948343251381,0.24397017400615437],\"reward\":1,\"done\":true,\"info\":{}}");
|
||||
|
||||
when(ClientUtils.post(eq(url + Client.ENVS_ROOT + instanceID + Client.STEP),
|
||||
JSONObjectMatcher.jsonEq(stepReqLoc))).thenReturn(stepRepLoc);
|
||||
}
|
||||
|
||||
if (step.isDone()) {
|
||||
// System.out.println("break");
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
client.monitorClose();
|
||||
client.upload(testDir, "YOUR_OPENAI_GYM_API_KEY");
|
||||
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -1,46 +0,0 @@
|
|||
/*******************************************************************************
|
||||
* Copyright (c) 2015-2018 Skymind, Inc.
|
||||
*
|
||||
* This program and the accompanying materials are made available under the
|
||||
* terms of the Apache License, Version 2.0 which is available at
|
||||
* https://www.apache.org/licenses/LICENSE-2.0.
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* License for the specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*
|
||||
* SPDX-License-Identifier: Apache-2.0
|
||||
******************************************************************************/
|
||||
|
||||
package org.deeplearning4j.gym.test;
|
||||
|
||||
import org.json.JSONObject;
|
||||
import org.mockito.ArgumentMatcher;
|
||||
|
||||
import static org.mockito.Matchers.argThat;
|
||||
|
||||
/**
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/11/16.
|
||||
*/
|
||||
|
||||
|
||||
public class JSONObjectMatcher implements ArgumentMatcher<JSONObject> {
|
||||
private final JSONObject expected;
|
||||
|
||||
public JSONObjectMatcher(JSONObject expected) {
|
||||
this.expected = expected;
|
||||
}
|
||||
|
||||
public static JSONObject jsonEq(JSONObject expected) {
|
||||
return argThat(new JSONObjectMatcher(expected));
|
||||
}
|
||||
|
||||
|
||||
@Override
|
||||
public boolean matches(JSONObject argument) {
|
||||
if (expected == null)
|
||||
return argument == null;
|
||||
return expected.toString().equals(argument.toString()); }
|
||||
}
|
||||
22
pom.xml
22
pom.xml
|
|
@ -132,7 +132,6 @@
|
|||
<module>deeplearning4j</module>
|
||||
<module>arbiter</module>
|
||||
<module>nd4s</module>
|
||||
<module>gym-java-client</module>
|
||||
<module>rl4j</module>
|
||||
<module>scalnet</module>
|
||||
<module>jumpy</module>
|
||||
|
|
@ -288,22 +287,23 @@
|
|||
<javacpp.platform.extension/> <!-- -Djavacpp.platform.extension=-avx512 -->
|
||||
<javacpp.platform.properties>${javacpp.platform}</javacpp.platform.properties>
|
||||
|
||||
<javacpp.version>1.5.2</javacpp.version>
|
||||
<javacpp-presets.version>1.5.2</javacpp-presets.version>
|
||||
<javacv.version>1.5.2</javacv.version>
|
||||
<javacpp.version>1.5.3-SNAPSHOT</javacpp.version>
|
||||
<javacpp-presets.version>1.5.3-SNAPSHOT</javacpp-presets.version>
|
||||
<javacv.version>1.5.3-SNAPSHOT</javacv.version>
|
||||
|
||||
<python.version>3.7.5</python.version>
|
||||
<python.version>3.7.6</python.version>
|
||||
<cpython-platform.version>${python.version}-${javacpp-presets.version}</cpython-platform.version>
|
||||
<numpy.version>1.17.3</numpy.version>
|
||||
<numpy.version>1.18.0</numpy.version>
|
||||
<numpy.javacpp.version>${numpy.version}-${javacpp-presets.version}</numpy.javacpp.version>
|
||||
|
||||
<openblas.version>0.3.7</openblas.version>
|
||||
<mkl.version>2019.5</mkl.version>
|
||||
<opencv.version>4.1.2</opencv.version>
|
||||
<ffmpeg.version>4.2.1</ffmpeg.version>
|
||||
<leptonica.version>1.78.0</leptonica.version>
|
||||
<hdf5.version>1.10.5</hdf5.version>
|
||||
<ale.version>0.6.0</ale.version>
|
||||
<opencv.version>4.2.0</opencv.version>
|
||||
<ffmpeg.version>4.2.2</ffmpeg.version>
|
||||
<leptonica.version>1.79.0</leptonica.version>
|
||||
<hdf5.version>1.10.6</hdf5.version>
|
||||
<ale.version>0.6.1</ale.version>
|
||||
<gym.version>0.15.4</gym.version>
|
||||
<tensorflow.version>1.15.0</tensorflow.version>
|
||||
<tensorflow.javacpp.version>${tensorflow.version}-${javacpp-presets.version}</tensorflow.javacpp.version>
|
||||
|
||||
|
|
|
|||
|
|
@ -32,10 +32,6 @@ Comments are welcome on our gitter channel:
|
|||
|
||||
# Quickstart
|
||||
|
||||
** INSTALL rl4j-api before installing all (see below)!**
|
||||
|
||||
* mvn install -pl rl4j-api
|
||||
* [if you want rl4j-gym too] Download and mvn install: [gym-java-client](https://github.com/eclipse/deeplearning4j/tree/master/gym-java-client)
|
||||
* mvn install
|
||||
|
||||
# Visualisation
|
||||
|
|
@ -44,9 +40,7 @@ Comments are welcome on our gitter channel:
|
|||
|
||||
# Quicktry cartpole:
|
||||
|
||||
* Install [gym-http-api](https://github.com/openai/gym-http-api).
|
||||
* launch http api server.
|
||||
* run with this [main](https://github.com/rubenfiszel/rl4j-examples/blob/master/src/main/java/org/deeplearning4j/rl4j/Cartpole.java)
|
||||
* run with this [main](https://github.com/eclipse/deeplearning4j-examples/blob/master/rl4j-examples/src/main/java/org/deeplearning4j/examples/rl4j/Cartpole.java)
|
||||
|
||||
# Doom
|
||||
|
||||
|
|
@ -83,4 +77,4 @@ Doom is not ready yet but you can make it work if you feel adventurous with some
|
|||
|
||||
* Continuous control
|
||||
* Policy Gradient
|
||||
* Update gym-java-client when gym-http-api gets compatible with pixels environments to play with Pong, Doom, etc ..
|
||||
* Update rl4j-gym to make it compatible with pixels environments to play with Pong, Doom, etc ..
|
||||
|
|
|
|||
50
rl4j/pom.xml
50
rl4j/pom.xml
|
|
@ -97,6 +97,30 @@
|
|||
|
||||
<build>
|
||||
<plugins>
|
||||
<plugin>
|
||||
<groupId>org.apache.maven.plugins</groupId>
|
||||
<artifactId>maven-enforcer-plugin</artifactId>
|
||||
<version>${maven-enforcer-plugin.version}</version>
|
||||
<executions>
|
||||
<execution>
|
||||
<phase>test</phase>
|
||||
<id>enforce-choice-of-nd4j-test-backend</id>
|
||||
<goals>
|
||||
<goal>enforce</goal>
|
||||
</goals>
|
||||
<configuration>
|
||||
<skip>${skipBackendChoice}</skip>
|
||||
<rules>
|
||||
<requireActiveProfile>
|
||||
<profiles>test-nd4j-native,test-nd4j-cuda-10.2</profiles>
|
||||
<all>false</all>
|
||||
</requireActiveProfile>
|
||||
</rules>
|
||||
<fail>true</fail>
|
||||
</configuration>
|
||||
</execution>
|
||||
</executions>
|
||||
</plugin>
|
||||
<plugin>
|
||||
<artifactId>maven-source-plugin</artifactId>
|
||||
<version>${maven-source-plugin.version}</version>
|
||||
|
|
@ -265,6 +289,32 @@
|
|||
</pluginManagement>
|
||||
</build>
|
||||
|
||||
<profiles>
|
||||
<profile>
|
||||
<id>test-nd4j-native</id>
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.nd4j</groupId>
|
||||
<artifactId>nd4j-native</artifactId>
|
||||
<version>${nd4j.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
</profile>
|
||||
|
||||
<profile>
|
||||
<id>test-nd4j-cuda-10.2</id>
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.nd4j</groupId>
|
||||
<artifactId>nd4j-cuda-10.2</artifactId>
|
||||
<version>${nd4j.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
</profile>
|
||||
</profiles>
|
||||
|
||||
<reporting>
|
||||
<plugins>
|
||||
<plugin>
|
||||
|
|
|
|||
|
|
@ -44,4 +44,13 @@
|
|||
<version>${ale.version}-${javacpp-presets.version}</version>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
|
||||
<profiles>
|
||||
<profile>
|
||||
<id>test-nd4j-native</id>
|
||||
</profile>
|
||||
<profile>
|
||||
<id>test-nd4j-cuda-10.2</id>
|
||||
</profile>
|
||||
</profiles>
|
||||
</project>
|
||||
|
|
|
|||
|
|
@ -33,15 +33,19 @@
|
|||
</properties>
|
||||
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.deeplearning4j</groupId>
|
||||
<artifactId>gym-java-client</artifactId>
|
||||
<version>${dl4j.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.nd4j</groupId>
|
||||
<artifactId>nd4j-api</artifactId>
|
||||
<version>${nd4j.version}</version>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
|
||||
<profiles>
|
||||
<profile>
|
||||
<id>test-nd4j-native</id>
|
||||
</profile>
|
||||
<profile>
|
||||
<id>test-nd4j-cuda-10.2</id>
|
||||
</profile>
|
||||
</profiles>
|
||||
</project>
|
||||
|
|
|
|||
|
|
@ -17,7 +17,6 @@
|
|||
package org.deeplearning4j.gym;
|
||||
|
||||
import lombok.Value;
|
||||
import org.json.JSONObject;
|
||||
|
||||
/**
|
||||
* @param <T> type of observation
|
||||
|
|
@ -31,6 +30,6 @@ public class StepReply<T> {
|
|||
T observation;
|
||||
double reward;
|
||||
boolean done;
|
||||
JSONObject info;
|
||||
Object info;
|
||||
|
||||
}
|
||||
|
|
@ -16,8 +16,6 @@
|
|||
|
||||
package org.deeplearning4j.rl4j.space;
|
||||
|
||||
import org.json.JSONArray;
|
||||
|
||||
/**
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/8/16.
|
||||
*
|
||||
|
|
@ -29,14 +27,8 @@ public class Box implements Encodable {
|
|||
|
||||
private final double[] array;
|
||||
|
||||
public Box(JSONArray arr) {
|
||||
|
||||
int lg = arr.length();
|
||||
this.array = new double[lg];
|
||||
|
||||
for (int i = 0; i < lg; i++) {
|
||||
this.array[i] = arr.getDouble(i);
|
||||
}
|
||||
public Box(double[] arr) {
|
||||
this.array = arr;
|
||||
}
|
||||
|
||||
public double[] toArray() {
|
||||
|
|
@ -17,10 +17,8 @@
|
|||
package org.deeplearning4j.rl4j.space;
|
||||
|
||||
import lombok.Value;
|
||||
import org.json.JSONArray;
|
||||
import org.nd4j.linalg.api.ndarray.INDArray;
|
||||
|
||||
|
||||
/**
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) on 7/26/16.
|
||||
*/
|
||||
|
|
@ -37,12 +35,8 @@ public class HighLowDiscrete extends DiscreteSpace {
|
|||
|
||||
@Override
|
||||
public Object encode(Integer a) {
|
||||
JSONArray jsonArray = new JSONArray();
|
||||
for (int i = 0; i < size; i++) {
|
||||
jsonArray.put(matrix.getDouble(i, 0));
|
||||
INDArray m = matrix.dup();
|
||||
m.put(a - 1, 0, matrix.getDouble(a - 1, 1));
|
||||
return m;
|
||||
}
|
||||
jsonArray.put(a - 1, matrix.getDouble(a - 1, 1));
|
||||
return jsonArray;
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -44,11 +44,6 @@
|
|||
<groupId>ch.qos.logback</groupId>
|
||||
<artifactId>logback-classic</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.deeplearning4j</groupId>
|
||||
<artifactId>gym-java-client</artifactId>
|
||||
<version>${dl4j.version}</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>org.bytedeco</groupId>
|
||||
|
|
@ -111,27 +106,10 @@
|
|||
|
||||
<profiles>
|
||||
<profile>
|
||||
<id>nd4j-tests-cpu</id>
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.nd4j</groupId>
|
||||
<artifactId>nd4j-native</artifactId>
|
||||
<version>${project.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
<id>test-nd4j-native</id>
|
||||
</profile>
|
||||
|
||||
<profile>
|
||||
<id>nd4j-tests-cuda</id>
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.nd4j</groupId>
|
||||
<artifactId>nd4j-cuda-10.2</artifactId>
|
||||
<version>${project.version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
<id>test-nd4j-cuda-10.2</id>
|
||||
</profile>
|
||||
</profiles>
|
||||
</project>
|
||||
|
|
|
|||
|
|
@ -23,7 +23,6 @@ import org.deeplearning4j.rl4j.network.dqn.IDQN;
|
|||
import org.deeplearning4j.rl4j.space.ArrayObservationSpace;
|
||||
import org.deeplearning4j.rl4j.space.DiscreteSpace;
|
||||
import org.deeplearning4j.rl4j.space.ObservationSpace;
|
||||
import org.json.JSONObject;
|
||||
import org.nd4j.linalg.api.ndarray.INDArray;
|
||||
import org.nd4j.linalg.factory.Nd4j;
|
||||
|
||||
|
|
@ -104,7 +103,7 @@ public class HardDeteministicToy implements MDP<HardToyState, Integer, DiscreteS
|
|||
if (a == maxIndex(hardToyState.getValues()))
|
||||
reward += 1;
|
||||
hardToyState = states[hardToyState.getStep() + 1];
|
||||
return new StepReply(hardToyState, reward, isDone(), new JSONObject("{}"));
|
||||
return new StepReply(hardToyState, reward, isDone(), null);
|
||||
}
|
||||
|
||||
public HardDeteministicToy newInstance() {
|
||||
|
|
|
|||
|
|
@ -26,7 +26,6 @@ import org.deeplearning4j.rl4j.network.dqn.IDQN;
|
|||
import org.deeplearning4j.rl4j.space.ArrayObservationSpace;
|
||||
import org.deeplearning4j.rl4j.space.DiscreteSpace;
|
||||
import org.deeplearning4j.rl4j.space.ObservationSpace;
|
||||
import org.json.JSONObject;
|
||||
import org.nd4j.linalg.api.ndarray.INDArray;
|
||||
import org.nd4j.linalg.factory.Nd4j;
|
||||
|
||||
|
|
@ -80,7 +79,7 @@ public class SimpleToy implements MDP<SimpleToyState, Integer, DiscreteSpace> {
|
|||
public StepReply<SimpleToyState> step(Integer a) {
|
||||
double reward = (simpleToyState.getStep() % 2 == 0) ? 1 - a : a;
|
||||
simpleToyState = new SimpleToyState(simpleToyState.getI() + 1, simpleToyState.getStep() + 1);
|
||||
return new StepReply<>(simpleToyState, reward, isDone(), new JSONObject("{}"));
|
||||
return new StepReply<>(simpleToyState, reward, isDone(), null);
|
||||
}
|
||||
|
||||
public SimpleToy newInstance() {
|
||||
|
|
|
|||
|
|
@ -26,6 +26,7 @@ import org.deeplearning4j.rl4j.learning.NeuralNetFetchable;
|
|||
import org.nd4j.linalg.primitives.Pair;
|
||||
import org.deeplearning4j.rl4j.learning.ILearning;
|
||||
import org.deeplearning4j.rl4j.learning.Learning;
|
||||
import org.deeplearning4j.rl4j.network.ac.IActorCritic;
|
||||
import org.deeplearning4j.rl4j.network.dqn.DQN;
|
||||
import org.deeplearning4j.rl4j.network.dqn.IDQN;
|
||||
import org.deeplearning4j.util.ModelSerializer;
|
||||
|
|
@ -88,6 +89,7 @@ public class DataManager implements IDataManager {
|
|||
String json = new ObjectMapper().writeValueAsString(learning.getConfiguration());
|
||||
writeEntry(new ByteArrayInputStream(json.getBytes()), zipfile);
|
||||
|
||||
try {
|
||||
ZipEntry dqn = new ZipEntry("dqn.bin");
|
||||
zipfile.putNextEntry(dqn);
|
||||
|
||||
|
|
@ -100,7 +102,25 @@ public class DataManager implements IDataManager {
|
|||
|
||||
InputStream inputStream = new ByteArrayInputStream(bos.toByteArray());
|
||||
writeEntry(inputStream, zipfile);
|
||||
} catch (UnsupportedOperationException e) {
|
||||
ByteArrayOutputStream bos = new ByteArrayOutputStream();
|
||||
ByteArrayOutputStream bos2 = new ByteArrayOutputStream();
|
||||
((IActorCritic)((NeuralNetFetchable)learning).getNeuralNet()).save(bos, bos2);
|
||||
|
||||
bos.flush();
|
||||
bos.close();
|
||||
InputStream inputStream = new ByteArrayInputStream(bos.toByteArray());
|
||||
ZipEntry value = new ZipEntry("value.bin");
|
||||
zipfile.putNextEntry(value);
|
||||
writeEntry(inputStream, zipfile);
|
||||
|
||||
bos2.flush();
|
||||
bos2.close();
|
||||
InputStream inputStream2 = new ByteArrayInputStream(bos2.toByteArray());
|
||||
ZipEntry policy = new ZipEntry("policy.bin");
|
||||
zipfile.putNextEntry(policy);
|
||||
writeEntry(inputStream2, zipfile);
|
||||
}
|
||||
|
||||
if (learning.getHistoryProcessor() != null) {
|
||||
ZipEntry hpconf = new ZipEntry("hpconf.bin");
|
||||
|
|
@ -268,7 +288,12 @@ public class DataManager implements IDataManager {
|
|||
|
||||
save(getModelDir() + "/" + learning.getStepCounter() + ".training", learning);
|
||||
if(learning instanceof NeuralNetFetchable) {
|
||||
try {
|
||||
((NeuralNetFetchable)learning).getNeuralNet().save(getModelDir() + "/" + learning.getStepCounter() + ".model");
|
||||
} catch (UnsupportedOperationException e) {
|
||||
String path = getModelDir() + "/" + learning.getStepCounter();
|
||||
((IActorCritic)((NeuralNetFetchable)learning).getNeuralNet()).save(path + "_value.model", path + "_policy.model");
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -47,8 +47,11 @@ public class LegacyMDPWrapper<O, A, AS extends ActionSpace<A>> implements MDP<Ob
|
|||
return historyProcessor;
|
||||
}
|
||||
|
||||
if (learning != null) {
|
||||
return learning.getHistoryProcessor();
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
public void setHistoryProcessor(IHistoryProcessor historyProcessor) {
|
||||
this.historyProcessor = historyProcessor;
|
||||
|
|
|
|||
|
|
@ -39,4 +39,13 @@
|
|||
<version>${project.version}</version>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
|
||||
<profiles>
|
||||
<profile>
|
||||
<id>test-nd4j-native</id>
|
||||
</profile>
|
||||
<profile>
|
||||
<id>test-nd4j-cuda-10.2</id>
|
||||
</profile>
|
||||
</profiles>
|
||||
</project>
|
||||
|
|
|
|||
|
|
@ -39,9 +39,18 @@
|
|||
<version>${project.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.deeplearning4j</groupId>
|
||||
<artifactId>gym-java-client</artifactId>
|
||||
<version>${project.version}</version>
|
||||
<groupId>org.bytedeco</groupId>
|
||||
<artifactId>gym-platform</artifactId>
|
||||
<version>${gym.version}-${javacpp-presets.version}</version>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
|
||||
<profiles>
|
||||
<profile>
|
||||
<id>test-nd4j-native</id>
|
||||
</profile>
|
||||
<profile>
|
||||
<id>test-nd4j-cuda-10.2</id>
|
||||
</profile>
|
||||
</profiles>
|
||||
</project>
|
||||
|
|
|
|||
|
|
@ -1,5 +1,6 @@
|
|||
/*******************************************************************************
|
||||
* Copyright (c) 2015-2018 Skymind, Inc.
|
||||
* Copyright (c) 2020 Konduit K.K.
|
||||
*
|
||||
* This program and the accompanying materials are made available under the
|
||||
* terms of the Apache License, Version 2.0 which is available at
|
||||
|
|
@ -16,39 +17,111 @@
|
|||
|
||||
package org.deeplearning4j.rl4j.mdp.gym;
|
||||
|
||||
|
||||
import org.deeplearning4j.gym.Client;
|
||||
import org.deeplearning4j.gym.ClientFactory;
|
||||
import java.io.IOException;
|
||||
import lombok.Getter;
|
||||
import lombok.Setter;
|
||||
import lombok.Value;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.bytedeco.javacpp.DoublePointer;
|
||||
import org.bytedeco.javacpp.Pointer;
|
||||
import org.bytedeco.javacpp.SizeTPointer;
|
||||
import org.deeplearning4j.gym.StepReply;
|
||||
import org.deeplearning4j.rl4j.mdp.MDP;
|
||||
import org.deeplearning4j.rl4j.space.ArrayObservationSpace;
|
||||
import org.deeplearning4j.rl4j.space.ActionSpace;
|
||||
import org.deeplearning4j.rl4j.space.Box;
|
||||
import org.deeplearning4j.rl4j.space.DiscreteSpace;
|
||||
import org.deeplearning4j.rl4j.space.Encodable;
|
||||
import org.deeplearning4j.rl4j.space.HighLowDiscrete;
|
||||
import org.deeplearning4j.rl4j.space.ObservationSpace;
|
||||
|
||||
import org.bytedeco.cpython.*;
|
||||
import org.bytedeco.numpy.*;
|
||||
import static org.bytedeco.cpython.global.python.*;
|
||||
import static org.bytedeco.numpy.global.numpy.*;
|
||||
|
||||
/**
|
||||
* An MDP for OpenAI Gym: https://gym.openai.com/
|
||||
*
|
||||
* @author rubenfiszel (ruben.fiszel@epfl.ch) 7/12/16.
|
||||
*
|
||||
* Wrapper over the client of gym-java-client
|
||||
*
|
||||
* @author saudet
|
||||
*/
|
||||
@Slf4j
|
||||
public class GymEnv<O, A, AS extends ActionSpace<A>> implements MDP<O, A, AS> {
|
||||
|
||||
final public static String GYM_MONITOR_DIR = "/tmp/gym-dqn";
|
||||
public static final String GYM_MONITOR_DIR = "/tmp/gym-dqn";
|
||||
|
||||
final private Client<O, A, AS> client;
|
||||
private static void checkPythonError() {
|
||||
if (PyErr_Occurred() != null) {
|
||||
PyErr_Print();
|
||||
throw new RuntimeException("Python error occurred");
|
||||
}
|
||||
}
|
||||
|
||||
private static Pointer program;
|
||||
private static PyObject globals;
|
||||
static {
|
||||
try {
|
||||
Py_SetPath(org.bytedeco.gym.presets.gym.cachePackages());
|
||||
program = Py_DecodeLocale(GymEnv.class.getSimpleName(), null);
|
||||
Py_SetProgramName(program);
|
||||
Py_Initialize();
|
||||
PyEval_InitThreads();
|
||||
PySys_SetArgvEx(1, program, 0);
|
||||
if (_import_array() < 0) {
|
||||
PyErr_Print();
|
||||
throw new RuntimeException("numpy.core.multiarray failed to import");
|
||||
}
|
||||
globals = PyModule_GetDict(PyImport_AddModule("__main__"));
|
||||
PyEval_SaveThread(); // just to release the GIL
|
||||
} catch (IOException e) {
|
||||
PyMem_RawFree(program);
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
}
|
||||
private PyObject locals;
|
||||
|
||||
final protected DiscreteSpace actionSpace;
|
||||
final protected ObservationSpace<O> observationSpace;
|
||||
@Getter
|
||||
final private String envId;
|
||||
@Getter
|
||||
final private boolean render;
|
||||
@Getter
|
||||
final private boolean monitor;
|
||||
private ActionTransformer actionTransformer = null;
|
||||
private boolean done = false;
|
||||
|
||||
public GymEnv(String envId, boolean render, boolean monitor) {
|
||||
this.client = ClientFactory.build(envId, render);
|
||||
this.envId = envId;
|
||||
this.render = render;
|
||||
this.monitor = monitor;
|
||||
if (monitor)
|
||||
client.monitorStart(GYM_MONITOR_DIR, true, false);
|
||||
|
||||
int gstate = PyGILState_Ensure();
|
||||
try {
|
||||
locals = PyDict_New();
|
||||
|
||||
Py_DecRef(PyRun_StringFlags("import gym; env = gym.make('" + envId + "')", Py_single_input, globals, locals, null));
|
||||
checkPythonError();
|
||||
if (monitor) {
|
||||
Py_DecRef(PyRun_StringFlags("env = gym.wrappers.Monitor(env, '" + GYM_MONITOR_DIR + "')", Py_single_input, globals, locals, null));
|
||||
checkPythonError();
|
||||
}
|
||||
PyObject shapeTuple = PyRun_StringFlags("env.observation_space.shape", Py_eval_input, globals, locals, null);
|
||||
int[] shape = new int[(int)PyTuple_Size(shapeTuple)];
|
||||
for (int i = 0; i < shape.length; i++) {
|
||||
shape[i] = (int)PyLong_AsLong(PyTuple_GetItem(shapeTuple, i));
|
||||
}
|
||||
observationSpace = (ObservationSpace<O>) new ArrayObservationSpace<Box>(shape);
|
||||
Py_DecRef(shapeTuple);
|
||||
|
||||
PyObject n = PyRun_StringFlags("env.action_space.n", Py_eval_input, globals, locals, null);
|
||||
actionSpace = new DiscreteSpace((int)PyLong_AsLong(n));
|
||||
Py_DecRef(n);
|
||||
checkPythonError();
|
||||
} finally {
|
||||
PyGILState_Release(gstate);
|
||||
}
|
||||
}
|
||||
|
||||
public GymEnv(String envId, boolean render, boolean monitor, int[] actions) {
|
||||
|
|
@ -56,43 +129,87 @@ public class GymEnv<O, A, AS extends ActionSpace<A>> implements MDP<O, A, AS> {
|
|||
actionTransformer = new ActionTransformer((HighLowDiscrete) getActionSpace(), actions);
|
||||
}
|
||||
|
||||
|
||||
@Override
|
||||
public ObservationSpace<O> getObservationSpace() {
|
||||
return client.getObservationSpace();
|
||||
return observationSpace;
|
||||
}
|
||||
|
||||
@Override
|
||||
public AS getActionSpace() {
|
||||
if (actionTransformer == null)
|
||||
return (AS) client.getActionSpace();
|
||||
return (AS) actionSpace;
|
||||
else
|
||||
return (AS) actionTransformer;
|
||||
}
|
||||
|
||||
@Override
|
||||
public StepReply<O> step(A action) {
|
||||
StepReply<O> stepRep = client.step(action);
|
||||
done = stepRep.isDone();
|
||||
return stepRep;
|
||||
int gstate = PyGILState_Ensure();
|
||||
try {
|
||||
if (render) {
|
||||
Py_DecRef(PyRun_StringFlags("env.render()", Py_single_input, globals, locals, null));
|
||||
checkPythonError();
|
||||
}
|
||||
Py_DecRef(PyRun_StringFlags("state, reward, done, info = env.step(" + (Integer)action +")", Py_single_input, globals, locals, null));
|
||||
checkPythonError();
|
||||
|
||||
PyArrayObject state = new PyArrayObject(PyDict_GetItemString(locals, "state"));
|
||||
DoublePointer stateData = new DoublePointer(PyArray_BYTES(state)).capacity(PyArray_Size(state));
|
||||
SizeTPointer stateDims = PyArray_DIMS(state).capacity(PyArray_NDIM(state));
|
||||
|
||||
double reward = PyFloat_AsDouble(PyDict_GetItemString(locals, "reward"));
|
||||
done = PyLong_AsLong(PyDict_GetItemString(locals, "done")) != 0;
|
||||
checkPythonError();
|
||||
|
||||
double[] data = new double[(int)stateData.capacity()];
|
||||
stateData.get(data);
|
||||
|
||||
return new StepReply(new Box(data), reward, done, null);
|
||||
} finally {
|
||||
PyGILState_Release(gstate);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean isDone() {
|
||||
return done;
|
||||
}
|
||||
|
||||
@Override
|
||||
public O reset() {
|
||||
int gstate = PyGILState_Ensure();
|
||||
try {
|
||||
Py_DecRef(PyRun_StringFlags("state = env.reset()", Py_single_input, globals, locals, null));
|
||||
checkPythonError();
|
||||
|
||||
PyArrayObject state = new PyArrayObject(PyDict_GetItemString(locals, "state"));
|
||||
DoublePointer stateData = new DoublePointer(PyArray_BYTES(state)).capacity(PyArray_Size(state));
|
||||
SizeTPointer stateDims = PyArray_DIMS(state).capacity(PyArray_NDIM(state));
|
||||
checkPythonError();
|
||||
|
||||
done = false;
|
||||
return client.reset();
|
||||
}
|
||||
|
||||
|
||||
public void upload(String apiKey) {
|
||||
client.upload(GYM_MONITOR_DIR, apiKey);
|
||||
|
||||
double[] data = new double[(int)stateData.capacity()];
|
||||
stateData.get(data);
|
||||
return (O) new Box(data);
|
||||
} finally {
|
||||
PyGILState_Release(gstate);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public void close() {
|
||||
if (monitor)
|
||||
client.monitorClose();
|
||||
int gstate = PyGILState_Ensure();
|
||||
try {
|
||||
Py_DecRef(PyRun_StringFlags("env.close()", Py_single_input, globals, locals, null));
|
||||
checkPythonError();
|
||||
Py_DecRef(locals);
|
||||
} finally {
|
||||
PyGILState_Release(gstate);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public GymEnv<O, A, AS> newInstance() {
|
||||
return new GymEnv<O, A, AS>(envId, render, monitor);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,48 @@
|
|||
/*******************************************************************************
|
||||
* Copyright (c) 2020 Konduit K.K.
|
||||
*
|
||||
* This program and the accompanying materials are made available under the
|
||||
* terms of the Apache License, Version 2.0 which is available at
|
||||
* https://www.apache.org/licenses/LICENSE-2.0.
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* License for the specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*
|
||||
* SPDX-License-Identifier: Apache-2.0
|
||||
******************************************************************************/
|
||||
|
||||
package org.deeplearning4j.rl4j.mdp.gym;
|
||||
|
||||
import org.deeplearning4j.gym.StepReply;
|
||||
import org.deeplearning4j.rl4j.space.ArrayObservationSpace;
|
||||
import org.deeplearning4j.rl4j.space.Box;
|
||||
import org.deeplearning4j.rl4j.space.DiscreteSpace;
|
||||
import org.junit.Test;
|
||||
|
||||
import static org.junit.Assert.assertArrayEquals;
|
||||
import static org.junit.Assert.assertEquals;
|
||||
import static org.junit.Assert.assertNotEquals;
|
||||
|
||||
/**
|
||||
*
|
||||
* @author saudet
|
||||
*/
|
||||
public class GymEnvTest {
|
||||
|
||||
@Test
|
||||
public void testCartpole() {
|
||||
GymEnv mdp = new GymEnv("CartPole-v0", false, false);
|
||||
assertArrayEquals(new int[] {4}, ((ArrayObservationSpace)mdp.getObservationSpace()).getShape());
|
||||
assertEquals(2, ((DiscreteSpace)mdp.getActionSpace()).getSize());
|
||||
assertEquals(false, mdp.isDone());
|
||||
Box o = (Box)mdp.reset();
|
||||
StepReply r = mdp.step(0);
|
||||
assertEquals(4, o.toArray().length);
|
||||
assertEquals(4, ((Box)r.getObservation()).toArray().length);
|
||||
assertNotEquals(null, mdp.newInstance());
|
||||
mdp.close();
|
||||
}
|
||||
}
|
||||
|
|
@ -33,6 +33,11 @@
|
|||
</properties>
|
||||
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.json</groupId>
|
||||
<artifactId>json</artifactId>
|
||||
<version>20190722</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.deeplearning4j</groupId>
|
||||
<artifactId>rl4j-api</artifactId>
|
||||
|
|
@ -44,4 +49,13 @@
|
|||
<version>0.30.0</version>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
|
||||
<profiles>
|
||||
<profile>
|
||||
<id>test-nd4j-native</id>
|
||||
</profile>
|
||||
<profile>
|
||||
<id>test-nd4j-cuda-10.2</id>
|
||||
</profile>
|
||||
</profiles>
|
||||
</project>
|
||||
|
|
|
|||
Loading…
Reference in New Issue