-
Notifications
You must be signed in to change notification settings - Fork 467
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
This release is compatible with DeepStream SDK 7.0 Ubuntu 22.04 Python 3.10 DeepStream SDK 7.0 Features: - New module platform_info() has been added for checking for WSL, integrated GPU, and aarch64. All apps and integration tests have been updated to use this module when checking for platform. See deepstream_test1 for simple usage. - SBSA is now supported. Check bindings/README.md for quick build instructions. - Apps have been updated to use request_pad_simple() instead of the deprecated method get_request_pad(). See gst-python API documentation for details. - New API nvds_measure_buffer_latency() has been added for pipeline and component latency measurement. See deepstream-test3 app and bindfunctions.cpp for reference.
- Loading branch information
1 parent
36fdc7e
commit 216ce3a
Showing
99 changed files
with
620 additions
and
299 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file was deleted.
Oops, something went wrong.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,94 @@ | ||
| ################################################################################ | ||
| # SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | ||
| # SPDX-License-Identifier: Apache-2.0 | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://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. | ||
| ################################################################################ | ||
|
|
||
| import sys | ||
| import platform | ||
| from threading import Lock | ||
| from cuda import cudart | ||
| from cuda import cuda | ||
|
|
||
| guard_platform_info = Lock() | ||
|
|
||
| class PlatformInfo: | ||
| def __init__(self): | ||
| self.is_wsl_system = False | ||
| self.wsl_verified = False | ||
| self.is_integrated_gpu_system = False | ||
| self.is_integrated_gpu_verified = False | ||
| self.is_aarch64_platform = False | ||
| self.is_aarch64_verified = False | ||
|
|
||
| def is_wsl(self): | ||
| with guard_platform_info: | ||
| # Check if its already verified as WSL system or not. | ||
| if not self.wsl_verified: | ||
| try: | ||
| # Open /proc/version file | ||
| with open("/proc/version", "r") as version_file: | ||
| # Read the content | ||
| version_info = version_file.readline() | ||
| version_info = version_info.lower() | ||
| self.wsl_verified = True | ||
|
|
||
| # Check if "microsoft" is present in the version information | ||
| if "microsoft" in version_info: | ||
| self.is_wsl_system = True | ||
| except Exception as e: | ||
| print(f"ERROR: Opening /proc/version failed: {e}") | ||
|
|
||
| return self.is_wsl_system | ||
|
|
||
| def is_integrated_gpu(self): | ||
| #Using cuda apis to identify whether integrated/discreet | ||
| #This is required to distinguish Tegra and ARM_SBSA devices | ||
| with guard_platform_info: | ||
| #Cuda initialize | ||
| if not self.is_integrated_gpu_verified: | ||
| cuda_init_result, = cuda.cuInit(0) | ||
| if cuda_init_result == cuda.CUresult.CUDA_SUCCESS: | ||
| #Get cuda devices count | ||
| device_count_result, num_devices = cuda.cuDeviceGetCount() | ||
| if device_count_result == cuda.CUresult.CUDA_SUCCESS: | ||
| #If atleast one device is found, we can use the property from | ||
| #the first device | ||
| if num_devices >= 1: | ||
| #Get properties from first device | ||
| property_result, properties = cudart.cudaGetDeviceProperties(0) | ||
| if property_result == cuda.CUresult.CUDA_SUCCESS: | ||
| print("Is it Integrated GPU? :", properties.integrated) | ||
| self.is_integrated_gpu_system = properties.integrated | ||
| self.is_integrated_gpu_verified = True | ||
| else: | ||
| print("ERROR: Getting cuda device property failed: {}".format(property_result)) | ||
| else: | ||
| print("ERROR: No cuda devices found to check whether iGPU/dGPU") | ||
| else: | ||
| print("ERROR: Getting cuda device count failed: {}".format(device_count_result)) | ||
| else: | ||
| print("ERROR: Cuda init failed: {}".format(cuda_init_result)) | ||
|
|
||
| return self.is_integrated_gpu_system | ||
|
|
||
| def is_platform_aarch64(self): | ||
| #Check if platform is aarch64 using uname | ||
| if not self.is_aarch64_verified: | ||
| if platform.uname()[4] == 'aarch64': | ||
| self.is_aarch64_platform = True | ||
| self.is_aarch64_verified = True | ||
| return self.is_aarch64_platform | ||
|
|
||
| sys.path.append('/opt/nvidia/deepstream/deepstream/lib') |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.