[Refactor] Phase out legacy docs

docs/conf.py

@@ -409,35 +409,13 @@ def jupyter_notebook(script_blocks, gallery_conf, target_dir, real_func):
 from sphinx_gallery.sorting import ExplicitOrder
 
 examples_dirs = [
-    # legacy tutorial structure under gallery folder
-    tvm_path.joinpath("gallery", "tutorial"),
-    tvm_path.joinpath("gallery", "how_to", "compile_models"),
-    tvm_path.joinpath("gallery", "how_to", "deploy_models"),
-    tvm_path.joinpath("gallery", "how_to", "work_with_relay"),
-    tvm_path.joinpath("gallery", "how_to", "work_with_schedules"),
-    tvm_path.joinpath("gallery", "how_to", "optimize_operators"),
-    tvm_path.joinpath("gallery", "how_to", "tune_with_autotvm"),
-    tvm_path.joinpath("gallery", "how_to", "tune_with_autoscheduler"),
-    tvm_path.joinpath("gallery", "how_to", "extend_tvm"),
-    # New tutorial structure under docs folder
     tvm_path.joinpath("docs", "get_started", "tutorials"),
     tvm_path.joinpath("docs", "how_to", "tutorials"),
     tvm_path.joinpath("docs", "deep_dive", "relax", "tutorials"),
     tvm_path.joinpath("docs", "deep_dive", "tensor_ir", "tutorials"),
 ]
 
 gallery_dirs = [
-    # legacy tutorial structure under gallery folder
-    "tutorial",
-    "how_to/compile_models",
-    "how_to/deploy_models",
-    "how_to/work_with_relay",
-    "how_to/work_with_schedules",
-    "how_to/optimize_operators",
-    "how_to/tune_with_autotvm",
-    "how_to/tune_with_autoscheduler",
-    "how_to/extend_tvm",
-    # New tutorial structure under docs folder
     "get_started/tutorials/",
     "how_to/tutorials/",
     "deep_dive/relax/tutorials/",
@@ -448,68 +426,7 @@ def jupyter_notebook(script_blocks, gallery_conf, target_dir, real_func):
 # The listed files are sorted according to the list.
 # The unlisted files are sorted by filenames.
 # The unlisted files always appear after listed files.
-within_subsection_order = {
-    "tutorial": [
-        "introduction.py",
-        "install.py",
-        "tvmc_command_line_driver.py",
-        "tvmc_python.py",
-        "autotvm_relay_x86.py",
-        "tensor_expr_get_started.py",
-        "autotvm_matmul_x86.py",
-        "auto_scheduler_matmul_x86.py",
-        "tensor_ir_blitz_course.py",
-        "topi.pi",
-        "cross_compilation_and_rpc.py",
-        "relay_quick_start.py",
-        "uma.py",
-    ],
-    "compile_models": [
-        "from_pytorch.py",
-        "from_tensorflow.py",
-        "from_mxnet.py",
-        "from_onnx.py",
-        "from_keras.py",
-        "from_tflite.py",
-        "from_coreml.py",
-        "from_darknet.py",
-        "from_caffe2.py",
-        "from_paddle.py",
-    ],
-    "work_with_schedules": [
-        "schedule_primitives.py",
-        "reduction.py",
-        "scan.py",
-        "extern_op.py",
-        "tensorize.py",
-        "tuple_inputs.py",
-        "tedd.py",
-    ],
-    "optimize_operators": [
-        "opt_gemm.py",
-        "opt_conv_cuda.py",
-        "opt_conv_tensorcore.py",
-    ],
-    "tune_with_autotvm": [
-        "tune_conv2d_cuda.py",
-        "tune_relay_cuda.py",
-        "tune_relay_x86.py",
-        "tune_relay_arm.py",
-        "tune_relay_mobile_gpu.py",
-    ],
-    "tune_with_autoscheduler": [
-        "tune_matmul_x86.py",
-        "tune_conv2d_layer_cuda.py",
-        "tune_network_x86.py",
-        "tune_network_cuda.py",
-    ],
-    "extend_tvm": [
-        "low_level_custom_pass.py",
-        "use_pass_infra.py",
-        "use_pass_instrument.py",
-        "bring_your_own_datatypes.py",
-    ],
-}
+within_subsection_order = {}
 
 
 class WithinSubsectionOrder: