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yinggeh merged 1 commit into from
Feb 3, 2026
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docs: Fix broken links in documents #877

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12 changes: 7 additions & 5 deletions README.md
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
<!--
# Copyright 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# Copyright 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
Expand Down Expand Up @@ -178,7 +178,7 @@ available from [NVIDIA GPU Cloud
(NGC)](https://ngc.nvidia.com). Before attempting to pull the
container ensure you have access to NGC. For step-by-step
instructions, see the [NGC Getting Started
Guide](http://docs.nvidia.com/ngc/ngc-getting-started-guide/index.html).
Guide](https://docs.nvidia.com/ngc/latest/ngc-user-guide.html).

Use docker pull to get the client libraries and examples container
from NGC.
Expand Down Expand Up @@ -574,7 +574,7 @@ this feature is enabled, the Triton server will return standard gRPC error codes
and subsequently close the stream after delivering the error. This feature is
optional can be enabled by adding header with `triton_grpc_error` key and `true` as
value. See [grpc error
codes](https://github.com/triton-inference-server/server/tree/main#GRPC-Status-Codes) in the server to learn about how this is handled on the server side. See gRPC
codes](#GRPC-Status-Codes) in the server to learn about how this is handled on the server side. See gRPC
guide on [status-codes](https://grpc.io/docs/guides/status-codes/) for more details.
Below is a Python snippet to enable the feature. Without this header Triton server
will continue streaming in default mode returning error message and status inside
Expand Down Expand Up @@ -662,7 +662,7 @@ module](src/python/library/tritonclient/utils/cuda_shared_memory)
is provided that can be used with the Python client library to create,
set and destroy CUDA shared memory. The module currently supports
numpy arrays ([example usage](src/python/examples/simple_http_cudashm_client.py))
and DLPack tensors ([example usage](src/python/library/tests/test_dlpack.py)).
and DLPack tensors ([example usage](src/python/library/tests/test_cuda_shared_memory.py)).

### Client API for Stateful Models

Expand Down Expand Up @@ -806,4 +806,6 @@ the raw image binaries in the request and receive classification
results without preprocessing the images on the client.

To try this example you should follow the [DALI ensemble example
instructions](https://github.com/triton-inference-server/dali_backend/tree/main/docs/examples/inception_ensemble).
instructions](https://github.com/triton-inference-server/dali_backend/tree/075bb874ae99d20bf3bc67e26937cdb7b05a3b20/docs/examples/inception_ensemble).

**Important Note:** TensorFlow backend has been deprecated.
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