#0: Changing name for major places from Metal to Metalium

tenstorrent · Dec 7, 2023 · df74c65 · df74c65
1 parent 88dba1a
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diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
@@ -57,7 +57,7 @@ standards](#contribution-standards).
 
 ### Hugepages setup
 
-Hugepages is required to both run and develop on the Metal project.
+Hugepages is required to both run and develop on the Metalium project.
 
 If you ever need to re-enable Hugepages, you can try the script we homemade
 for this:

diff --git a/README.md b/README.md
@@ -260,7 +260,7 @@ this time.
 
 ### C++ Integration Tests
 
-1. Build the TT-Metal C++ API integration tests using the make command,
+1. Build the API integration tests using the make command,
 ```
 make tests
 ```
@@ -305,7 +305,7 @@ Announcements from the Tenstorrent team regarding this project will be in the
 page](https://github.com/orgs/tenstorrent-metal/discussions/categories/announcements).
 
 We also have a Discord channel that you can join. You may discuss with other
-members of the community and Metal developers there. You may use this invite
+members of the community and developers there. You may use this invite
 [link](https://discord.gg/tvhGzHQwaj).
 
 If you have ideas you would like to bounce off others in the community before

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -21,7 +21,7 @@
 
 # -- Project information -----------------------------------------------------
 
-project = "TT-Metal"
+project = "TT-Metalium"
 copyright = "Tenstorrent"
 author = "Tenstorrent"
 

diff --git a/docs/source/dev_onboarding/sfpu_operators.rst b/docs/source/dev_onboarding/sfpu_operators.rst
@@ -11,11 +11,11 @@ simple C API. SFPU can be thought of as a math co-processor which has specialize
 This section of manual shows how to develop DNN operators, activation functions, trigonometric and hyperbolic functions for
 various applications on the Tenstorrent Tensix cores by leveraging the SFPU.
 
-**True North** for the TT Metal project is to have a ecosystem of operator implementations suitable for eager mode execution of neural-network graphs,
+**True North** for the TT Metalium project is to have a ecosystem of operator implementations suitable for eager mode execution of neural-network graphs,
 general computational **DAG**\s, or provide a backend of hosting a compiler for either of above uses.
 
-Requirements for TT Metal
--------------------------
+Requirements for TT Metalium
+----------------------------
 We require all operator implementations on Tensix (Tenstorrent SFPU core) to support:
 
 - Grayskull (GS) architecture
@@ -29,7 +29,7 @@ We require all operator implementations on Tensix (Tenstorrent SFPU core) to sup
 - provide Python bindings for operators
 - test operators on CPU and device
     - test Python API
-    - test TT Metal API
+    - test TT Metalium API
 
 
 Operator Implementation Methodology

diff --git a/docs/source/get_started/get_started.rst b/docs/source/get_started/get_started.rst
@@ -3,7 +3,7 @@
 Getting Started
 ===============
 
-Metal is designed with the needs for non-ML and ML use cases.
+TT-Metalium is designed with the needs for non-ML and ML use cases.
 
 The GitHub page for the project is located here:
 https://github.com/tenstorrent-metal/tt-metal

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -1,18 +1,18 @@
-.. TT-Metal documentation master file, created by
+.. TT-Metalium documentation master file, created by
    sphinx-quickstart on Tue Jan  3 21:37:34 2023.
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
 
-Welcome to TT-Metal documentation!
-==================================
+Welcome to TT-Metalium documentation!
+=====================================
 
 .. toctree::
    :caption: Get Started
 
    get_started/get_started
 
 .. toctree::
-   :caption: TT-Metal
+   :caption: TT-Metalium
 
    tt_metal/programming_model/index.rst
    tt_metal/apis/index

diff --git a/docs/source/tt_metal/programming_model/index.rst b/docs/source/tt_metal/programming_model/index.rst
@@ -1,6 +1,6 @@
 Programming Model
 ===================
 
-TT-Metal is a platorm for programming heterogeneous collection of CPUs (host processors) and Tenstorrent acceleration devices,
+TT-Metalium is a platorm for programming heterogeneous collection of CPUs (host processors) and Tenstorrent acceleration devices,
 composed of many RISC-V processors. Target users of TT-Metal are expert parallel programmers wanting
 to write parallel and efficient code with full access to the Tensix hardware via low-level kernel APIs.