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authorTatiana Shpeisman <shpeisman@google.com>2019-03-28 18:28:14 -0700
committerjpienaar <jpienaar@google.com>2019-03-29 17:53:50 -0700
commit65a5f73ab310dc4e7629b281c51a6650909b1376 (patch)
treecc37be48f7c52dc9b596dcd9dbdd4ff80d7cba49 /mlir/README.md
parente7111fd62cdbb6904193795cba3f47084a251845 (diff)
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Fixed a few instances of inconsistent grammar.
PiperOrigin-RevId: 240896336
Diffstat (limited to 'mlir/README.md')
-rw-r--r--mlir/README.md12
1 files changed, 6 insertions, 6 deletions
diff --git a/mlir/README.md b/mlir/README.md
index d656cce..5ffcec9 100644
--- a/mlir/README.md
+++ b/mlir/README.md
@@ -50,7 +50,7 @@ requirements in a unified infrastructure. For example, this includes:
architectures.
* Ability to represent target-specific operations, e.g. the MXU on TPUs.
-As MLIR is a common IR which also supports hardware specific operations. Thus,
+MLIR is a common IR which also supports hardware specific operations. Thus,
any investment into the infrastructure surrounding MLIR (e.g. the compiler
passes that work on it) should yield good returns; many targets can use that
infrastructure and will benefit from it.
@@ -67,11 +67,11 @@ project that compiles down to MLIR.
We benefitted from the experience gained building HLO, LLVM and SIL when
building MLIR. We will directly adopt existing best practices, e.g. writing and
-maintaining an IR spec, building an IR verifier, provide the ability to dump and
-parse MLIR files to text, write extensive unit tests with the
-[FileCheck](https://llvm.org/docs/CommandGuide/FileCheck.html) tool, and build
-the infrastructure as a set of modular libraries that can be combined in new
-ways. We plan to use the infrastructure developed by the XLA team for
+maintaining an IR spec, building an IR verifier, providing the ability to dump
+and parse MLIR files to text, writing extensive unit tests with the
+[FileCheck](https://llvm.org/docs/CommandGuide/FileCheck.html) tool, and
+building the infrastructure as a set of modular libraries that can be combined
+in new ways. We plan to use the infrastructure developed by the XLA team for
performance analysis and benchmarking.
Other lessons have been incorporated and integrated into the design in subtle