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Enable Triton for SageMaker MME mode (#4181)
* SM updates and use personal repo * Entrypoint changes and input request parsing * Modify serve script, separate function and add return code * Add MME APIs * Add GET API * SM updates and use personal repo * Entrypoint changes and input request parsing * Modify serve script, separate function and add return code * Add MME APIs * Add GET API * Add validation tests and fixes * Revert build changes and remove refernces to personal repo * Cleanup * Add mutex for list update and address comments
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| #!/usr/bin/python | ||
| # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved. | ||
| # | ||
| # Redistribution and use in source and binary forms, with or without | ||
| # modification, are permitted provided that the following conditions | ||
| # are met: | ||
| # * Redistributions of source code must retain the above copyright | ||
| # notice, this list of conditions and the following disclaimer. | ||
| # * Redistributions in binary form must reproduce the above copyright | ||
| # notice, this list of conditions and the following disclaimer in the | ||
| # documentation and/or other materials provided with the distribution. | ||
| # * Neither the name of NVIDIA CORPORATION nor the names of its | ||
| # contributors may be used to endorse or promote products derived | ||
| # from this software without specific prior written permission. | ||
| # | ||
| # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY | ||
| # EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
| # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR | ||
| # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR | ||
| # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, | ||
| # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, | ||
| # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR | ||
| # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY | ||
| # OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | ||
| # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
| # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | ||
|
|
||
| import sys | ||
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| sys.path.append("../common") | ||
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| import os | ||
| import shutil | ||
| import time | ||
| import unittest | ||
| import numpy as np | ||
| import infer_util as iu | ||
| import test_util as tu | ||
| import tritonclient.http as httpclient | ||
|
|
||
| import argparse | ||
| import csv | ||
| import json | ||
| import os | ||
| import requests | ||
| import socket | ||
| import sys | ||
|
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|
|
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| class SageMakerMultiModelTest(tu.TestResultCollector): | ||
| def setUp(self): | ||
|
|
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| SAGEMAKER_BIND_TO_PORT = os.getenv("SAGEMAKER_BIND_TO_PORT", "8080") | ||
| self.url_mme_ = "http://localhost:{}/models".format(SAGEMAKER_BIND_TO_PORT) | ||
|
|
||
| # model_1 setup | ||
| self.model1_name = "sm_mme_model_1" | ||
| self.model1_url = "/opt/ml/models/123456789abcdefghi/model" | ||
|
|
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| self.model1_input_data_ = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] | ||
| self.model1_expected_output0_data_ = [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30] | ||
| self.model1_expected_output1_data_ = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] | ||
|
|
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| self.model1_expected_result_ = { | ||
| "model_name": "sm_mme_model_1", | ||
| "model_version": "1", | ||
| "outputs": [ | ||
| {"name": "OUTPUT0", "datatype": "INT32", "shape": [1, 16], "data": self.model1_expected_output0_data_}, | ||
| {"name": "OUTPUT1", "datatype": "INT32", "shape": [1, 16], "data": self.model1_expected_output1_data_}, | ||
| ], | ||
| } | ||
|
|
||
| # model_2 setup | ||
| self.model2_name = "sm_mme_model_2" | ||
| self.model2_url = "/opt/ml/models/987654321ihgfedcba/model" | ||
|
|
||
| # Output is same as input since this is an identity model | ||
| self.model2_input_data_ = [0, 1, 2, 3, 4, 5, 6, 7] | ||
|
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| def test_sm_0_environment_variables_set(self): | ||
| self.assertEqual( | ||
| os.getenv("SAGEMAKER_MULTI_MODEL"), "true", "Variable SAGEMAKER_MULTI_MODEL must be set to true" | ||
| ) | ||
|
|
||
| def test_sm_1_model_load(self): | ||
| # Load model_1 | ||
| request_body = {"model_name": self.model1_name, "url": self.model1_url} | ||
| headers = {"Content-Type": "application/json"} | ||
| r = requests.post(self.url_mme_, data=json.dumps(request_body), headers=headers) | ||
| time.sleep(5) # wait for model to load | ||
| self.assertEqual(r.status_code, 200, "Expected status code 200, received {}".format(r.status_code)) | ||
|
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||
| # Load the same model again, expect a 409 | ||
| request_body = {"model_name": self.model1_name, "url": self.model1_url} | ||
| headers = {"Content-Type": "application/json"} | ||
| r = requests.post(self.url_mme_, data=json.dumps(request_body), headers=headers) | ||
| time.sleep(5) # wait for model to load | ||
| self.assertEqual(r.status_code, 409, "Expected status code 409, received {}".format(r.status_code)) | ||
|
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| # Load model_2 | ||
| request_body = {"model_name": self.model2_name, "url": self.model2_url} | ||
| headers = {"Content-Type": "application/json"} | ||
| r = requests.post(self.url_mme_, data=json.dumps(request_body), headers=headers) | ||
| time.sleep(5) # wait for model to load | ||
| self.assertEqual(r.status_code, 200, "Expected status code 200, received {}".format(r.status_code)) | ||
|
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||
| def test_sm_2_model_list(self): | ||
| r = requests.get(self.url_mme_) | ||
| time.sleep(3) | ||
| expected_response_1 = { | ||
| "models": [ | ||
| {"modelName": self.model1_name, "modelUrl": self.model1_url}, | ||
| {"modelName": self.model2_name, "modelUrl": self.model2_url}, | ||
| ] | ||
| } | ||
| expected_response_2 = { | ||
| "models": [ | ||
| {"modelName": self.model2_name, "modelUrl": self.model2_url}, | ||
| {"modelName": self.model1_name, "modelUrl": self.model1_url}, | ||
| ] | ||
| } | ||
|
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||
| # Returned list response's order is not deterministic | ||
| self.assertIn( | ||
| r.json(), | ||
| [expected_response_1, expected_response_2], | ||
| "Expected one of {}, received: {}".format([expected_response_1, expected_response_2], r.json()), | ||
| ) | ||
|
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||
| def test_sm_3_model_get(self): | ||
| get_url = "{}/{}".format(self.url_mme_, self.model1_name) | ||
| r = requests.get(get_url) | ||
| time.sleep(3) | ||
| expected_response = {"modelName": self.model1_name, "modelUrl": self.model1_url} | ||
| self.assertEqual( | ||
| r.json(), expected_response, "Expected response: {}, received: {}".format(expected_response, r.json()) | ||
| ) | ||
|
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||
| def test_sm_4_model_invoke(self): | ||
| # Invoke model_1 | ||
| inputs = [] | ||
| outputs = [] | ||
| inputs.append(httpclient.InferInput("INPUT0", [1, 16], "INT32")) | ||
| inputs.append(httpclient.InferInput("INPUT1", [1, 16], "INT32")) | ||
|
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||
| # Initialize the data | ||
| input_data = np.array(self.model1_input_data_, dtype=np.int32) | ||
| input_data = np.expand_dims(input_data, axis=0) | ||
| inputs[0].set_data_from_numpy(input_data, binary_data=False) | ||
| inputs[1].set_data_from_numpy(input_data, binary_data=False) | ||
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| outputs.append(httpclient.InferRequestedOutput("OUTPUT0", binary_data=False)) | ||
| outputs.append(httpclient.InferRequestedOutput("OUTPUT1", binary_data=False)) | ||
| request_body, _ = httpclient.InferenceServerClient.generate_request_body(inputs, outputs=outputs) | ||
|
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| headers = {"Content-Type": "application/json"} | ||
| invoke_url = "{}/{}/invoke".format(self.url_mme_, self.model1_name) | ||
| r = requests.post(invoke_url, data=request_body, headers=headers) | ||
| r.raise_for_status() | ||
|
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||
| self.assertEqual( | ||
| self.model1_expected_result_, | ||
| r.json(), | ||
| "Expected response : {}, received: {}".format(self.model1_expected_result_, r.json()), | ||
| ) | ||
|
|
||
| # Invoke model_2 | ||
| inputs = [] | ||
| outputs = [] | ||
| inputs.append( | ||
| httpclient.InferInput( | ||
| "INPUT0", | ||
| [1, 8], | ||
| "FP32", | ||
| ) | ||
| ) | ||
| input_data = np.array(self.model2_input_data_, dtype=np.float32) | ||
| input_data = np.expand_dims(input_data, axis=0) | ||
| inputs[0].set_data_from_numpy(input_data, binary_data=True) | ||
|
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| outputs.append(httpclient.InferRequestedOutput("OUTPUT0", binary_data=True)) | ||
|
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| request_body, header_length = httpclient.InferenceServerClient.generate_request_body(inputs, outputs=outputs) | ||
|
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| invoke_url = "{}/{}/invoke".format(self.url_mme_, self.model2_name) | ||
| headers = { | ||
| "Content-Type": "application/vnd.sagemaker-triton.binary+json;json-header-size={}".format(header_length) | ||
| } | ||
| r = requests.post(invoke_url, data=request_body, headers=headers) | ||
|
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| header_length_prefix = "application/vnd.sagemaker-triton.binary+json;json-header-size=" | ||
| header_length_str = r.headers["Content-Type"][len(header_length_prefix) :] | ||
| result = httpclient.InferenceServerClient.parse_response_body(r._content, header_length=int(header_length_str)) | ||
|
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| # Get the inference header size so we can locate the output binary data | ||
| output_data = result.as_numpy("OUTPUT0") | ||
|
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| for i in range(8): | ||
| self.assertEqual(output_data[0][i], input_data[0][i], "Tensor Value Mismatch") | ||
|
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| def test_sm_5_model_unload(self): | ||
| # Unload model_1 | ||
| unload_url = "{}/{}".format(self.url_mme_, self.model1_name) | ||
| r = requests.delete(unload_url) | ||
| time.sleep(3) | ||
| self.assertEqual(r.status_code, 200, "Expected status code 200, received {}".format(r.status_code)) | ||
|
|
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| # Unload model_2 | ||
| unload_url = "{}/{}".format(self.url_mme_, self.model2_name) | ||
| r = requests.delete(unload_url) | ||
| time.sleep(3) | ||
| self.assertEqual(r.status_code, 200, "Expected status code 200, received {}".format(r.status_code)) | ||
|
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| # Unload a non-loaded model, expect a 404 | ||
| unload_url = "{}/sm_non_loaded_model".format(self.url_mme_) | ||
| r = requests.delete(unload_url) | ||
| time.sleep(3) | ||
| self.assertEqual(r.status_code, 404, "Expected status code 404, received {}".format(r.status_code)) | ||
|
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||
|
|
||
| if __name__ == "__main__": | ||
| unittest.main() |
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