Fix broken links in docs

Signed-off-by: colramos425 <colramos@amd.com>


[ROCm/rocprofiler-compute commit: 0c38813f33]

projects/rocprofiler-compute/src/docs/analysis.md

@@ -12,7 +12,7 @@ While analyzing with the CLI offers quick and straightforward access to Omniperf
 See sections below for more information on each.
 
 ## CLI Analysis
-> Profiling results from the [aforementioned vcopy workload]() will be used in the following sections to demonstrate the use of Omniperf in MI GPU performance analysis. Unless otherwise noted, the performance analysis is done on the MI200 platform.
+> Profiling results from the [aforementioned vcopy workload](https://amdresearch.github.io/omniperf/profiling.html#workload-compilation) will be used in the following sections to demonstrate the use of Omniperf in MI GPU performance analysis. Unless otherwise noted, the performance analysis is done on the MI200 platform.
 
 ### Features
 
@@ -171,7 +171,7 @@ $ omniperf analyze -p workloads/vcopy/mi200/ --list-metrics gfx90a
 ├─────────┼─────────────────────────────┤
 ...
  ```
- 2. Choose your own customized subset of metrics with `-b` (a.k.a. `--filter-metrics`), or build your own config following [config_template](). Below we'll inspect block 2 (a.k.a. System Speed-of-Light).
+ 2. Choose your own customized subset of metrics with `-b` (a.k.a. `--filter-metrics`), or build your own config following [config_template](https://github.com/AMDResearch/omniperf/blob/main/src/omniperf_analyze/configs/panel_config_template.yaml). Below we'll inspect block 2 (a.k.a. System Speed-of-Light).
 ```shell
 $ omniperf analyze -p workloads/vcopy/mi200/ -b 2
 --------
@@ -308,7 +308,7 @@ be generated directly from the command-line. This option is provided
 as an alternative for users wanting to explore profiling results
 graphically, but without the additional setup requirements or
 server-side overhead of Omniperf's detailed [Grafana
-interface](https://amdresearch.github.io/omniperf/grafana_analyzer.html#)
+interface](https://amdresearch.github.io/omniperf/analysis.html#grafana-based-gui)
 option.  The standalone GUI analyzer is provided as simple
 [Flask](https://flask.palletsprojects.com/en/2.2.x/) application
 allowing users to view results from within a web browser.
@@ -375,7 +375,7 @@ Once you have applied a filter, you will also see several additional
 sections become available with detailed metrics specific to that area
 of AMD hardware. These detailed sections mirror the data displayed in
 Omniperf's [Grafana
-interface](https://amdresearch.github.io/omniperf/grafana_analyzer.html#).
+interface](https://amdresearch.github.io/omniperf/analysis.html#grafana-based-gui).
 
 ### Grafana-based GUI
 
@@ -425,7 +425,7 @@ For example, if one wants to inspect Dispatch Range from 17 to 48, inclusive, th
 ##### Incremental Profiling
 Omniperf supports incremental profiling to significantly speed up performance analysis.
 
-> Refer to [*IP Block profiling*](https://amdresearch.github.io/omniperf/performance_analysis.html#ip-block-profiling) section for this command. 
+> Refer to [*IP Block profiling*](https://amdresearch.github.io/omniperf/profiling.html#ip-block-profiling) section for this command. 
 
 By default, the entire application is profiled to collect perfmon counter for all IP blocks, giving a system level view of where the workload stands in terms of performance optimization opportunities and bottlenecks. 
 

projects/rocprofiler-compute/src/docs/getting_started.md

@@ -70,7 +70,7 @@ Modes change the fundamental behavior of the Omniperf command line tool. Dependi
 - **Database**: Our detailed Grafana GUI is built on a MongoDB database. `--import` profiling results to the DB to interact with the workload in Grafana or `--remove` the workload from the DB.
 
     Connection options will need to be specified. See the [*Grafana
-    Analysis*](grafana_analyzer.md#grafana-gui-import) import section
+    Analysis*](https://amdresearch.github.io/omniperf/analysis.html#grafana-gui-import) import section
     for more details on this.
 
     ```shell