Fix broken link to PyTorchTrial docs

gan/cyclegan/README.md

@@ -6,7 +6,7 @@ Determined implementation of [CycleGAN](https://github.com/eriklindernoren/PyTor
 
 - **determined_model_def.py** is the user model definition file for Determined-managed training. 
   This file is ported from **cyclegan.py** to implement the 
-  [Determined Pytorch API](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial).
+  [Determined Pytorch API](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial).
 - **const.yaml** is the user configuration for Determined-managed training.
 - **startup-hook.sh** is the startup bash script that is used for downloading and 
   extracting the training data.

gan/cyclegan/cyclegan.py

@@ -1,6 +1,6 @@
 """
 This file is not used in the Determined-managed training. We port this file to use the
-Determined Pytorch API (https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial).
+Determined Pytorch API (https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial).
 """
 import argparse
 import os

model_hub/huggingface/language-modeling/README.md

@@ -4,9 +4,9 @@ The examples here mirror the [language-modeling examples](https://github.com/hug
 You can finetune GPT and GPT-2 with the causal language model (CLM); ALBERT, BERT, DistilBERT, and RoBERTa with the masked language model(MLM); and XLNet with the permutation language model (PLM).
 
 ## Files
-* **clm_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for CLM. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
-* **mlm_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for MLM. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
-* **plm_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for PLM. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **clm_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for CLM. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **mlm_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for MLM. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **plm_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for PLM. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
 
 ### Configuration Files
 * **clm_config.yaml**: Experiment configuration for finetuning on WikiText-2 with GPT2.  

model_hub/huggingface/multiple-choice/README.md

@@ -2,7 +2,7 @@
 This example mirrors the [multiple choice example](https://github.com/huggingface/transformers/tree/master/examples/pytorch/multiple-choice) from the original huggingface transformers repo for finetuning on the SWAG dataset.
 
 ## Files
-* **swag_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for this example. A few class methods are overwritten and specialized for named-entity recognition but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **swag_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for this example. A few class methods are overwritten and specialized for named-entity recognition but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
 * **data.py**: Modifies ``DataCollatorForMultipleChoice`` to work with PyTorchTrial.
 
 ### Configuration FIles

model_hub/huggingface/question-answering/README.md

@@ -2,9 +2,9 @@
 The examples here mirror the [question answering examples](https://github.com/huggingface/transformers/tree/master/examples/pytorch/question-answering) from the original huggingface transformers repo.
 
 ## Files
-* **qa_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for question-answering on SQuAD. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **qa_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for question-answering on SQuAD. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
 * **data.py**: data pre and post-processing for question answering.
-* **qa_beam_search_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for question-answering with beam search. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **qa_beam_search_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for question-answering with beam search. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
 * **data_beam_search.py**: data pre and post-processing for question answering with beam search.
 
 ### Configuration Files

model_hub/huggingface/text-classification/README.md

@@ -4,7 +4,7 @@ The two examples here mirror the [text-classification examples](https://github.c
 ## GLUE Benchmark
 
 ### Files
-* **glue_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for this example. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **glue_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for this example. A few class methods are overwritten and specialized for text classification but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
 
 #### Configuration Files
 * **glue_config.yaml**: Experiment configuration for finetuning on GLUE datasets with Bert.  
@@ -32,7 +32,7 @@ Using the provided experiment config `glue_config.yaml` yields a Matthew's Corre
 ## XNLI Dataset
 
 ### Files
-* **xnli_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for this example. A few class methods are overwritten and specialized for text classification on XNLI but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **xnli_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for this example. A few class methods are overwritten and specialized for text classification on XNLI but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
 
 #### Configuration Files
 * **xnli_config.yaml**: Experiment configuration for finetuning on the XNLI dataset with Bert.

model_hub/huggingface/token-classification/README.md

@@ -2,7 +2,7 @@
 This example mirrors the [token-classification example](https://github.com/huggingface/transformers/tree/master/examples/pytorch/token-classification) from the original huggingface transformers repo for named-entity recognition.
 
 ## Files
-* **ner_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/reference/api/pytorch.html#pytorch-trial) for this example. A few class methods are overwritten and specialized for named-entity recognition but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
+* **ner_trial.py**: The [PyTorchTrial definition](https://docs.determined.ai/latest/model-dev-guide/api-guides/apis-howto/api-pytorch-ug.html#pytorch-trial) for this example. A few class methods are overwritten and specialized for named-entity recognition but otherwise the behavior is the same as the [BaseTransformerTrial class](../model_hub/transformers/_trial.py).
 * **ner_utils.py**: Utility functions for NER largely extracted from [run_ner.py](https://github.com/huggingface/transformers/tree/master/examples/pytorch/token-classification/run_ner.py) to separate example code from Determined code.
 
 ### Configuration Files