Update pyproject.toml to use 0.1.34 MLIR-TRT

Signed-off-by: yizhuoz004 <[email protected]>

Author: yizhuoz004

tripy/docs/packages.html

@@ -65,6 +65,23 @@ <h1>Package Index</h1>
         href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.32/mlir_tensorrt_runtime-0.1.32+cuda12.trt102-cp312-cp312-linux_x86_64.whl">mlir_tensorrt_runtime-0.1.32+cuda12.trt102-cp312-cp312-linux_x86_64.whl</a><br>
     <a
         href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.32/mlir_tensorrt_runtime-0.1.32+cuda12.trt102-cp39-cp39-linux_x86_64.whl">mlir_tensorrt_runtime-0.1.32+cuda12.trt102-cp39-cp39-linux_x86_64.whl</a><br>
+
+    <a
+        href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.34/mlir_tensorrt_compiler-0.1.34+cuda12.trt102-cp310-cp310-linux_x86_64.whl">mlir_tensorrt_compiler-0.1.32+cuda12.trt102-cp310-cp310-linux_x86_64.whl</a><br>
+    <a
+        href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.34/mlir_tensorrt_compiler-0.1.34+cuda12.trt102-cp311-cp311-linux_x86_64.whl">mlir_tensorrt_compiler-0.1.32+cuda12.trt102-cp311-cp311-linux_x86_64.whl</a><br>
+    <a
+        href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.34/mlir_tensorrt_compiler-0.1.34+cuda12.trt102-cp312-cp312-linux_x86_64.whl">mlir_tensorrt_compiler-0.1.32+cuda12.trt102-cp312-cp312-linux_x86_64.whl</a><br>
+    <a
+        href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.34/mlir_tensorrt_compiler-0.1.34+cuda12.trt102-cp39-cp39-linux_x86_64.whl">mlir_tensorrt_compiler-0.1.32+cuda12.trt102-cp39-cp39-linux_x86_64.whl</a><br>
+    <a
+        href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.34/mlir_tensorrt_runtime-0.1.34+cuda12.trt102-cp310-cp310-linux_x86_64.whl">mlir_tensorrt_runtime-0.1.32+cuda12.trt102-cp310-cp310-linux_x86_64.whl</a><br>
+    <a
+        href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.34/mlir_tensorrt_runtime-0.1.34+cuda12.trt102-cp311-cp311-linux_x86_64.whl">mlir_tensorrt_runtime-0.1.32+cuda12.trt102-cp311-cp311-linux_x86_64.whl</a><br>
+    <a
+        href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.34/mlir_tensorrt_runtime-0.1.34+cuda12.trt102-cp312-cp312-linux_x86_64.whl">mlir_tensorrt_runtime-0.1.32+cuda12.trt102-cp312-cp312-linux_x86_64.whl</a><br>
+    <a
+        href="https://github.com/NVIDIA/TensorRT-Incubator/releases/download/mlir-tensorrt-v0.1.34/mlir_tensorrt_runtime-0.1.34+cuda12.trt102-cp39-cp39-linux_x86_64.whl">mlir_tensorrt_runtime-0.1.32+cuda12.trt102-cp39-cp39-linux_x86_64.whl</a><br>
 </body>
 
 </html>

tripy/pyproject.toml

@@ -8,8 +8,8 @@ requires-python = ">= 3.9"
 license = {text = "Apache 2.0"}
 dependencies = [
   "tensorrt~=10.0",
-  "mlir-tensorrt-compiler==0.1.32+cuda12.trt102",
-  "mlir-tensorrt-runtime==0.1.32+cuda12.trt102",
+  "mlir-tensorrt-compiler==0.1.34+cuda12.trt102",
+  "mlir-tensorrt-runtime==0.1.34+cuda12.trt102",
   "colored==2.2.3",
 ]