chore: Apply linting and ignore example code

narendasan · narendasan · commit 5e481be7ed18 · 2021-03-19T16:42:51.000-07:00
Signed-off-by: Naren Dasan &lt;naren@narendasan.com&gt;
Signed-off-by: Naren Dasan &lt;narens@nvidia.com&gt;
diff --git a/tests/core/conversion/converters/test_interpolate.cpp b/tests/core/conversion/converters/test_interpolate.cpp
@@ -9,7 +9,7 @@
     const auto graph = graph_src;                                                        \
                                                                                          \
     auto g = std::make_shared<torch::jit::Graph>();                                      \
-    torch::jit::parseIR(graph, g.get());                                                     \
+    torch::jit::parseIR(graph, g.get());                                                 \
                                                                                          \
     auto in = at::randint(1, 10, input_shape, {at::kCUDA});                              \
     auto jit_in = at::clone(in);                                                         \
@@ -28,7 +28,7 @@
     const auto graph = graph_src;                                                        \
                                                                                          \
     auto g = std::make_shared<torch::jit::Graph>();                                      \
-    torch::jit::parseIR(graph, g.get());                                                     \
+    torch::jit::parseIR(graph, g.get());                                                 \
                                                                                          \
     auto in = at::randint(1, 10, input_shape, {at::kCUDA});                              \
     auto jit_in = at::clone(in);                                                         \
@@ -48,7 +48,7 @@
     const auto graph = graph_src;                                                 \
                                                                                   \
     auto g = std::make_shared<torch::jit::Graph>();                               \
-    torch::jit::parseIR(graph, g.get());                                              \
+    torch::jit::parseIR(graph, g.get());                                          \
                                                                                   \
     auto in = at::randint(1, 10, input_shape, {at::kCUDA});                       \
     auto jit_in = at::clone(in);                                                  \
diff --git a/tests/core/conversion/converters/test_unary.cpp b/tests/core/conversion/converters/test_unary.cpp
@@ -19,7 +19,7 @@ std::string gen_test_graph(const std::string& unary) {
     const auto graph = gen_test_graph(#unary);                                            \
                                                                                           \
     auto g = std::make_shared<torch::jit::Graph>();                                       \
-    torch::jit::parseIR(graph, g.get());                                                      \
+    torch::jit::parseIR(graph, g.get());                                                  \
                                                                                           \
     float offset = 0;                                                                     \
     if (strcmp(#name, "Acosh") == 0)                                                      \
diff --git a/tools/linter/utils.py b/tools/linter/utils.py
@@ -6,7 +6,7 @@
 BLACKLISTED_BAZEL_TARGETS = [
     "//experiments", "//tools", "//docker",  "//third_party", "//bazel-bin", "//bazel-genfiles",
     "//bazel-out", "//bazel-TRTorch", "//bazel-workspace", "//bazel-testlogs", "//py/build",
-    "//py/dist", "//py/trtorch.egg-info", "//py/wheelhouse"
+    "//py/dist", "//py/trtorch.egg-info", "//py/wheelhouse", "//examples", "//docsrc", "//docs"
 ]
 
 

Original file line number	Diff line number	Diff line change
`@@ -9,7 +9,7 @@`
`9`	`9`	`const auto graph = graph_src; \`
`10`	`10`	`\`
`11`	`11`	`auto g = std::make_shared<torch::jit::Graph>(); \`
`12`		`- torch::jit::parseIR(graph, g.get()); \`
	`12`	`+ torch::jit::parseIR(graph, g.get()); \`
`13`	`13`	`\`
`14`	`14`	`auto in = at::randint(1, 10, input_shape, {at::kCUDA}); \`
`15`	`15`	`auto jit_in = at::clone(in); \`
`@@ -28,7 +28,7 @@`
`28`	`28`	`const auto graph = graph_src; \`
`29`	`29`	`\`
`30`	`30`	`auto g = std::make_shared<torch::jit::Graph>(); \`
`31`		`- torch::jit::parseIR(graph, g.get()); \`
	`31`	`+ torch::jit::parseIR(graph, g.get()); \`
`32`	`32`	`\`
`33`	`33`	`auto in = at::randint(1, 10, input_shape, {at::kCUDA}); \`
`34`	`34`	`auto jit_in = at::clone(in); \`
`@@ -48,7 +48,7 @@`
`48`	`48`	`const auto graph = graph_src; \`
`49`	`49`	`\`
`50`	`50`	`auto g = std::make_shared<torch::jit::Graph>(); \`
`51`		`- torch::jit::parseIR(graph, g.get()); \`
	`51`	`+ torch::jit::parseIR(graph, g.get()); \`
`52`	`52`	`\`
`53`	`53`	`auto in = at::randint(1, 10, input_shape, {at::kCUDA}); \`
`54`	`54`	`auto jit_in = at::clone(in); \`
Original file line number	Diff line number	Diff line change
`@@ -19,7 +19,7 @@ std::string gen_test_graph(const std::string& unary) {`
`19`	`19`	`const auto graph = gen_test_graph(#unary); \`
`20`	`20`	`\`
`21`	`21`	`auto g = std::make_shared<torch::jit::Graph>(); \`
`22`		`- torch::jit::parseIR(graph, g.get()); \`
	`22`	`+ torch::jit::parseIR(graph, g.get()); \`
`23`	`23`	`\`
`24`	`24`	`float offset = 0; \`
`25`	`25`	`if (strcmp(#name, "Acosh") == 0) \`
Original file line number	Diff line number	Diff line change
`@@ -6,7 +6,7 @@`
`6`	`6`	`BLACKLISTED_BAZEL_TARGETS = [`
`7`	`7`	`"//experiments", "//tools", "//docker", "//third_party", "//bazel-bin", "//bazel-genfiles",`
`8`	`8`	`"//bazel-out", "//bazel-TRTorch", "//bazel-workspace", "//bazel-testlogs", "//py/build",`
`9`		`- "//py/dist", "//py/trtorch.egg-info", "//py/wheelhouse"`
	`9`	`+ "//py/dist", "//py/trtorch.egg-info", "//py/wheelhouse", "//examples", "//docsrc", "//docs"`
`10`	`10`	`]`
`11`	`11`
`12`	`12`