A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
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Updated
Aug 19, 2020 - Jupyter Notebook
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
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Hello, dear Mediapipe guys.
I want to inference the hand pose with Mediapipe model and my own model.
I have my own tf-lite models, it can work on the RGB bitmap.
I try to query the RGB bitmap from input frame with data packet.
My code is
private static final String INPUT_VIDEO_STREAM_NAME = "input_video";
processor.addPacketCallback(INPUT_VIDEO_STREAM_NAME, (packet)->{
Describe the bug
When TEMPLATE_LIST_TEST_CASE and TEMPLATE_LIST_TEST_CASE_METHOD were added, the corresponding versions with the CATCH_ prefix were missed.
Expected behavior
CATCH_TEMPLATE_LIST_TEST_CASE and CATCH_TEMPLATE_LIST_TEST_CASE_METHOD should be available.
Additional context
The commit that added TEMPLATE_LIST_TEST_CASE and `TEMPLATE_LIST_TEST_CASE_MET
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GTest exports the following targets:
GTest::gtestGTest::gtest_mainGTest::gmockGTest::gmock_mainThis targets should also be available when adding gtest with
add_subdirectory(orFetchContent), because this should behave the same way as adding GTest withfind_package. So somewhere, we should add the aliases to these targets, i.e.