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new 958c27123a [Fix] Remove duplicated words from comments, NFC (#15873)
958c27123a is described below
commit 958c27123a45a9629e57cee20dbca28263c836bd
Author: Krzysztof Parzyszek <[email protected]>
AuthorDate: Thu Oct 5 00:37:35 2023 -0500
[Fix] Remove duplicated words from comments, NFC (#15873)
Removed instances of accidentally repeated words from comments. There
are cases where duplicated words appear legitimately, those cases remain
unmodified.
---
docs/Doxyfile | 2 +-
docs/conf.py | 4 ++--
include/tvm/runtime/logging.h | 2 +-
include/tvm/runtime/ndarray.h | 2 +-
include/tvm/runtime/packed_func.h | 2 +-
include/tvm/tir/expr.h | 2 +-
include/tvm/tir/stmt.h | 2 +-
python/tvm/relay/op/contrib/clml.py | 2 +-
python/tvm/relay/transform/memory_plan.py | 2 +-
python/tvm/runtime/ndarray.py | 2 +-
python/tvm/te/hybrid/__init__.py | 2 +-
python/tvm/te/schedule.py | 2 +-
python/tvm/topi/arm_cpu/qnn.py | 2 +-
src/arith/const_fold.h | 4 ++--
src/arith/product_normal_form.h | 4 ++--
src/relay/collage/partition_rule.h | 2 +-
src/relay/transforms/combine_parallel_op_batch.h | 2 +-
src/runtime/c_runtime_api.cc | 2 +-
src/runtime/crt/aot_executor/aot_executor.c | 2 +-
src/target/source/ptx.h | 2 +-
src/tir/analysis/control_flow_graph.h | 2 +-
src/tir/schedule/error.h | 2 +-
src/tir/transforms/unroll_loop.cc | 2 +-
tests/python/contrib/test_arm_compute_lib/infrastructure.py | 2 +-
tests/python/contrib/test_hexagon/conv2d/test_conv2d_conv2d.md | 2 +-
tests/python/contrib/test_hexagon/test_benchmark_elemwise_add.py | 2 +-
tests/python/relay/test_pass_plan_devices.py | 2 +-
tests/python/unittest/test_tir_transform_remove_no_op.py | 2 +-
web/src/environment.ts | 2 +-
29 files changed, 32 insertions(+), 32 deletions(-)
diff --git a/docs/Doxyfile b/docs/Doxyfile
index 8615f5b2ae..d1ea82c842 100644
--- a/docs/Doxyfile
+++ b/docs/Doxyfile
@@ -306,7 +306,7 @@ EXTENSION_MAPPING =
# When enabled doxygen tries to link words that correspond to documented
# classes, or namespaces to their corresponding documentation. Such a link can
-# be prevented in individual cases by by putting a % sign in front of the word
+# be prevented in individual cases by putting a % sign in front of the word
# or globally by setting AUTOLINK_SUPPORT to NO.
# The default value is: YES.
diff --git a/docs/conf.py b/docs/conf.py
index 330ae919a6..b1ecb37c97 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -244,7 +244,7 @@ INSTALL_TVM_CUDA_DEV = f"""\
# Installs the latest dev build of TVM from PyPI, with CUDA enabled. To use
this,
# you must request a Google Colab instance with a GPU by going to Runtime ->
# Change runtime type -> Hardware accelerator -> GPU. If you wish to build from
-# source, see see https://tvm.apache.org/docs/install/from_source.html
+# source, see https://tvm.apache.org/docs/install/from_source.html
pip install tlcpack-nightly-cu113 --pre -f https://tlcpack.ai/wheels""";
INSTALL_TVM_CUDA_FIXED = f"""\
@@ -252,7 +252,7 @@ INSTALL_TVM_CUDA_FIXED = f"""\
# Installs TVM version {version} from PyPI, with CUDA enabled. To use this,
# you must request a Google Colab instance with a GPU by going to Runtime ->
# Change runtime type -> Hardware accelerator -> GPU. If you wish to build from
-# source, see see https://tvm.apache.org/docs/install/from_source.html
+# source, see https://tvm.apache.org/docs/install/from_source.html
pip install apache-tvm-cu113=={version} -f https://tlcpack.ai/wheels""";
diff --git a/include/tvm/runtime/logging.h b/include/tvm/runtime/logging.h
index 16a176a801..45c390df1d 100644
--- a/include/tvm/runtime/logging.h
+++ b/include/tvm/runtime/logging.h
@@ -113,7 +113,7 @@
* in a function, or 'continue' or 'break' in a loop)
* The default behavior when quit_on_assertion is false, is to 'return false'.
If this is not
* desirable, the macro caller can pass one more last parameter to COND_X to
tell COND_X what
- * to do when when quit_on_assertion is false and the assertion fails.
+ * to do when quit_on_assertion is false and the assertion fails.
*
* Rationale: These macros were designed to implement functions that have two
behaviors
* in a concise way. Those behaviors are quitting on assertion failures, or
trying to
diff --git a/include/tvm/runtime/ndarray.h b/include/tvm/runtime/ndarray.h
index 2a06856fea..8400344bf5 100644
--- a/include/tvm/runtime/ndarray.h
+++ b/include/tvm/runtime/ndarray.h
@@ -275,7 +275,7 @@ class NDArray::ContainerBase {
protected:
/*!
* \brief The shape container,
- * can be used used for shape data.
+ * can be used for shape data.
*/
ShapeTuple shape_;
};
diff --git a/include/tvm/runtime/packed_func.h
b/include/tvm/runtime/packed_func.h
index caaaec3640..4159c4b2e7 100644
--- a/include/tvm/runtime/packed_func.h
+++ b/include/tvm/runtime/packed_func.h
@@ -133,7 +133,7 @@ class PackedFuncSubObj : public PackedFuncObj {
* The arguments are passed by packed format.
*
* This is an useful unified interface to call generated functions,
- * It is the unified function function type of TVM.
+ * It is the unified function type of TVM.
* It corresponds to TVMFunctionHandle in C runtime API.
*/
class PackedFunc : public ObjectRef {
diff --git a/include/tvm/tir/expr.h b/include/tvm/tir/expr.h
index 3286be7b79..4e29eddadd 100644
--- a/include/tvm/tir/expr.h
+++ b/include/tvm/tir/expr.h
@@ -1030,7 +1030,7 @@ class CommReducer : public ObjectRef {
TVM_DEFINE_OBJECT_REF_METHODS(CommReducer, ObjectRef, CommReducerNode);
};
-/*! \brief Reduction operator operator */
+/*! \brief Reduction operator */
class ReduceNode : public PrimExprNode {
public:
/*! \brief The commutative combiner */
diff --git a/include/tvm/tir/stmt.h b/include/tvm/tir/stmt.h
index 7e40b329d2..bddf87101f 100644
--- a/include/tvm/tir/stmt.h
+++ b/include/tvm/tir/stmt.h
@@ -778,7 +778,7 @@ class SeqStmt : public Stmt {
}
// If the argument is a single SeqStmt argument with no
- // flattening or unwrapping required required, then we may
+ // flattening or unwrapping required, then we may
// return the SeqStmt as-is.
if constexpr (sizeof...(seq_args) == 1) {
if (auto opt = Flattener::AsSeqStmt(std::forward<Args>(seq_args)...)) {
diff --git a/python/tvm/relay/op/contrib/clml.py
b/python/tvm/relay/op/contrib/clml.py
index 82926bb31d..f194dd114b 100644
--- a/python/tvm/relay/op/contrib/clml.py
+++ b/python/tvm/relay/op/contrib/clml.py
@@ -35,7 +35,7 @@ from ..strategy.generic import is_depthwise_conv2d
def clml_sdk_version():
- """Utility function to get clml version version"""
+ """Utility function to get clml version"""
return int(tvm.support.libinfo().get("TVM_CLML_VERSION", 2))
diff --git a/python/tvm/relay/transform/memory_plan.py
b/python/tvm/relay/transform/memory_plan.py
index ca67014730..948a79079e 100644
--- a/python/tvm/relay/transform/memory_plan.py
+++ b/python/tvm/relay/transform/memory_plan.py
@@ -287,7 +287,7 @@ class StorageCoalesce(ExprMutator):
dynamic_regions.append(lhs)
else:
# A new scope is created when entering a new region with different
- # device device.
+ # device.
region = self.current_region(dtype)
if region.device and region.device.device_type != dev.device_type:
self.enter_scope()
diff --git a/python/tvm/runtime/ndarray.py b/python/tvm/runtime/ndarray.py
index 6f0d1f440a..d6902bc625 100644
--- a/python/tvm/runtime/ndarray.py
+++ b/python/tvm/runtime/ndarray.py
@@ -617,7 +617,7 @@ def array(arr, device=cpu(0), mem_scope=None):
The array to be copied from
device : Device, optional
- The device device to create the array
+ The device to create the array
mem_scope : Optional[str]
The memory scope of the array
diff --git a/python/tvm/te/hybrid/__init__.py b/python/tvm/te/hybrid/__init__.py
index 9530f0d0ae..cd320c6b20 100644
--- a/python/tvm/te/hybrid/__init__.py
+++ b/python/tvm/te/hybrid/__init__.py
@@ -39,7 +39,7 @@ from .utils import _pruned_source
def script(pyfunc):
- """Decorate a python function function as hybrid script.
+ """Decorate a python function as hybrid script.
The hybrid function support emulation mode and parsing to
the internal language IR.
diff --git a/python/tvm/te/schedule.py b/python/tvm/te/schedule.py
index 0b6abc2566..936ead654d 100644
--- a/python/tvm/te/schedule.py
+++ b/python/tvm/te/schedule.py
@@ -648,7 +648,7 @@ class SpecializedCondition(Object):
# Sentinel value used to indicate which groups of pre-flattening axes
-# should be used to post-flattening axes axes. Moved from
+# should be used to post-flattening axes. Moved from
# te.AXIS_SEPARATOR to tir.IndexMap.AXIS_SEPARATOR for general use,
# maintained here for backwards compatibility.
AXIS_SEPARATOR = IndexMap.AXIS_SEPARATOR
diff --git a/python/tvm/topi/arm_cpu/qnn.py b/python/tvm/topi/arm_cpu/qnn.py
index bfd37847f3..b90ee99447 100644
--- a/python/tvm/topi/arm_cpu/qnn.py
+++ b/python/tvm/topi/arm_cpu/qnn.py
@@ -309,7 +309,7 @@ def qnn_conv2d(attrs, inputs, out_type):
# the output width, but autotuning this value would improve performance a
lot.
num_outputs = _pick_num_outputs(out_width)
- # Next, decide whether whether we need "parity alternation". For example,
if we have an
+ # Next, decide whether we need "parity alternation". For example, if we
have an
# 8x3x3x3 kernel (8 output channels, height 3, width 3, input channels 3)
in the OHWI layout,
# then every output channel kernel slice will be 27 halfwords. This means
every other output
# channel will not be word aligned, which will cause slowness/crashes!
diff --git a/src/arith/const_fold.h b/src/arith/const_fold.h
index 22a91b91b9..e66991d70e 100644
--- a/src/arith/const_fold.h
+++ b/src/arith/const_fold.h
@@ -441,7 +441,7 @@ struct SymbolicLimits {
/*!
* \brief Opaque expression representing positive infinity.
*
- * It can can only be used as parameter of by min/max
+ * It can only be used as parameter of by min/max
* for integer analysis and cannot be used in normal expressions.
*
* \return positive infinity.
@@ -459,7 +459,7 @@ inline bool is_pos_inf(const PrimExpr& value) { return
value.same_as(SymbolicLim
/*!
* \brief Opaque expression representing negative infinity.
*
- * It can can only be used as parameter of by min/max
+ * It can only be used as parameter of by min/max
* for integer analysis and cannot be used in normal expressions.
*
* \return negative infinity.
diff --git a/src/arith/product_normal_form.h b/src/arith/product_normal_form.h
index d27ca76650..ed258f207d 100644
--- a/src/arith/product_normal_form.h
+++ b/src/arith/product_normal_form.h
@@ -66,11 +66,11 @@ inline void UnpackSum(const PrimExpr& value, FLeaf fleaf,
int sign = 1) {
}
/*!
- * \brief Helper function to multiply extent and and re-normalize.
+ * \brief Helper function to multiply extent and re-normalize.
*
* Multiply extent scale and re-normalize to form (x * y) * z
*
- * NOTE on multiplication order: when have have shape (s[0], s[1], s[2]),
+ * NOTE on multiplication order: when have shape (s[0], s[1], s[2]),
* we prefer to multiple in order of s[0] * s[1] * s[2]
* \param lhs The lhs iterator
diff --git a/src/relay/collage/partition_rule.h
b/src/relay/collage/partition_rule.h
index ca68c9b086..c9b7e93d71 100644
--- a/src/relay/collage/partition_rule.h
+++ b/src/relay/collage/partition_rule.h
@@ -375,7 +375,7 @@ class OpCallByKindPartitionRule : public PartitionRule {
*
* Kinds are ordered as above from least- to most-constraining w.r.t. possible
partition
* opportunities. When we write a kind abbreviation below we intend it to mean
that kind *or less*.
- * And when when write 'kl -> kr' we mean it to match a sub-expression of kind
kr or less who's
+ * And when write 'kl -> kr' we mean it to match a sub-expression of kind kr
or less who's
* dataflow inputs are all of kind kl or less.
*
* We can then mimic the classic \p FuseOps TVM Pass with the following more
primitive combiner
diff --git a/src/relay/transforms/combine_parallel_op_batch.h
b/src/relay/transforms/combine_parallel_op_batch.h
index db4734bffc..b9edafe754 100644
--- a/src/relay/transforms/combine_parallel_op_batch.h
+++ b/src/relay/transforms/combine_parallel_op_batch.h
@@ -133,7 +133,7 @@ class ParallelOpBatchCombiner : public ParallelOpCombiner {
private:
/* \brief name of op to replace combined ops with. for example,
- * for combining parallel dense, this will will be set to
+ * for combining parallel dense, this will be set to
* nn.batch_matmul
*/
std::string batch_op_name_;
diff --git a/src/runtime/c_runtime_api.cc b/src/runtime/c_runtime_api.cc
index 3471adefeb..9f2ea8e2ff 100644
--- a/src/runtime/c_runtime_api.cc
+++ b/src/runtime/c_runtime_api.cc
@@ -229,7 +229,7 @@ void DeviceAPI::SyncStreamFromTo(Device dev,
TVMStreamHandle event_src, TVMStrea
/*!
* \brief Normalize error message
*
- * Parse them header generated by by LOG(FATAL) and ICHECK
+ * Parse them header generated by LOG(FATAL) and ICHECK
* and reformat the message into the standard format.
*
* This function will also merge all the stack traces into
diff --git a/src/runtime/crt/aot_executor/aot_executor.c
b/src/runtime/crt/aot_executor/aot_executor.c
index 9e733c21c3..8ab4160306 100644
--- a/src/runtime/crt/aot_executor/aot_executor.c
+++ b/src/runtime/crt/aot_executor/aot_executor.c
@@ -228,7 +228,7 @@ int TVMAotExecutor_Release(TVMAotExecutor* executor, const
DLDevice device) {
int status;
if (executor->num_args > 0) {
- // free TVMNDArray data memory for each each argument
+ // free TVMNDArray data memory for each argument
int i;
for (i = 0; i < executor->num_args; ++i) {
status = TVMNDArray_Release(&executor->args[i]);
diff --git a/src/target/source/ptx.h b/src/target/source/ptx.h
index 13d2f3cefc..b82a9c6ad3 100644
--- a/src/target/source/ptx.h
+++ b/src/target/source/ptx.h
@@ -146,7 +146,7 @@ std::string PrintArriveBarrierAsm(const std::string&
barrier);
/*!
* \brief Print ptx barrier arrival with expect tx operation using
mbarrier.arrive.expect_tx
* \param barrier: The name of the barrier in shared memory.
- * \param byte_count: Increases the the tx count of the mbarrier object to
track completion of
+ * \param byte_count: Increases the tx count of the mbarrier object to track
completion of
* addtional async transactions.
*/
std::string PrintArriveBarrierExpectTxAsm(const std::string& barrier,
diff --git a/src/tir/analysis/control_flow_graph.h
b/src/tir/analysis/control_flow_graph.h
index 35934351dc..543feeecfe 100644
--- a/src/tir/analysis/control_flow_graph.h
+++ b/src/tir/analysis/control_flow_graph.h
@@ -129,7 +129,7 @@ struct BufferTouch {
* accessed by this touch during this loop iteration or a
* subsequent loop iteration.
*
- * Used during backward propagation, to track indices that that are
+ * Used during backward propagation, to track indices that are
* overwritten in the current loop iteration or in a later loop
* iteration.
*/
diff --git a/src/tir/schedule/error.h b/src/tir/schedule/error.h
index d344f46873..fe4dbdb91a 100644
--- a/src/tir/schedule/error.h
+++ b/src/tir/schedule/error.h
@@ -69,7 +69,7 @@ class LoopPositionError : public ScheduleError {
String DetailRenderTemplate() const final {
std::ostringstream os;
os << "ScheduleError: The input loop {0} of " << primitive_
- << " is required to be be an ancestor of block {1}.";
+ << " is required to be an ancestor of block {1}.";
return os.str();
}
diff --git a/src/tir/transforms/unroll_loop.cc
b/src/tir/transforms/unroll_loop.cc
index e43d4d7fd6..0c448d8e31 100644
--- a/src/tir/transforms/unroll_loop.cc
+++ b/src/tir/transforms/unroll_loop.cc
@@ -247,7 +247,7 @@ class LoopUnroller : public StmtExprMutator {
int auto_max_step_;
int auto_max_depth_;
// max extent of loop to auto unroll
- // this not not count the total steps, only count the number of loops
+ // this does not count the total steps, only count the number of loops
int auto_max_extent_;
bool explicit_unroll_;
// Wether to unroll loops to local access.
diff --git a/tests/python/contrib/test_arm_compute_lib/infrastructure.py
b/tests/python/contrib/test_arm_compute_lib/infrastructure.py
index 7d802e5b3a..ae3acbb096 100644
--- a/tests/python/contrib/test_arm_compute_lib/infrastructure.py
+++ b/tests/python/contrib/test_arm_compute_lib/infrastructure.py
@@ -124,7 +124,7 @@ class Device:
def get_low_high_atol_rtol(dtype):
- """Returns a tuple with boundary values and and tolerance for ACL tests."""
+ """Returns a tuple with boundary values and tolerance for ACL tests."""
if dtype == "float32":
low, high, atol, rtol = (-127, 128, 0.001, 0.001)
diff --git a/tests/python/contrib/test_hexagon/conv2d/test_conv2d_conv2d.md
b/tests/python/contrib/test_hexagon/conv2d/test_conv2d_conv2d.md
index 61c1241c67..3671d90c24 100644
--- a/tests/python/contrib/test_hexagon/conv2d/test_conv2d_conv2d.md
+++ b/tests/python/contrib/test_hexagon/conv2d/test_conv2d_conv2d.md
@@ -773,7 +773,7 @@ The input cache grows to hold the vertically adjacent slice:
*Filter Cache*
-The filter cache grows to hold the 3x3 filter filter:
+The filter cache grows to hold the 3x3 filter:
```
allocate(packed_filter.global: Pointer(global float32), float32, [73728]),
storage_scope = global;
diff --git a/tests/python/contrib/test_hexagon/test_benchmark_elemwise_add.py
b/tests/python/contrib/test_hexagon/test_benchmark_elemwise_add.py
index ee58514569..a927532c8f 100644
--- a/tests/python/contrib/test_hexagon/test_benchmark_elemwise_add.py
+++ b/tests/python/contrib/test_hexagon/test_benchmark_elemwise_add.py
@@ -345,7 +345,7 @@ def _get_elemwise_add_reference_value_tensors(shape: list,
dtype: str):
next_value += 1
elif np_dtype.kind == "f":
- # NOTE: For simplicity, we avoid test data that that require
+ # NOTE: For simplicity, we avoid test data that require
# well-defined behavior on floating-point overflow.
# But it may be reasonable to test that in the future.
min_value = np.finfo(np_dtype).min
diff --git a/tests/python/relay/test_pass_plan_devices.py
b/tests/python/relay/test_pass_plan_devices.py
index f654b4b453..0376410bd4 100644
--- a/tests/python/relay/test_pass_plan_devices.py
+++ b/tests/python/relay/test_pass_plan_devices.py
@@ -1612,7 +1612,7 @@ def test_free_on_device():
%1 = @on_scope_b(on_device(%b,
virtual_device=meta[VirtualDevice][0], constrain_body=False));
// %c's memory scope is "scopeB", so no copy required.
%2 = @on_scope_b(on_device(%c,
virtual_device=meta[VirtualDevice][0], constrain_body=False));
- // result's memory scope is is on "scopeA", so will require a
"scopeB"->"scopeA" copy.
+ // result's memory scope is on "scopeA", so will require a
"scopeB"->"scopeA" copy.
%3 = add(add(%0, %1), %2);
on_device(%3, virtual_device=meta[VirtualDevice][0],
constrain_body=False)
}
diff --git a/tests/python/unittest/test_tir_transform_remove_no_op.py
b/tests/python/unittest/test_tir_transform_remove_no_op.py
index 4cf746a7c2..5b184ee6ed 100644
--- a/tests/python/unittest/test_tir_transform_remove_no_op.py
+++ b/tests/python/unittest/test_tir_transform_remove_no_op.py
@@ -414,7 +414,7 @@ class
TestRemoveSeparatedOverwriteOfPredicatedLoop(BaseBeforeAfter):
"""Remove repeated writes to the same predicated region.
Similar to TestRemoveSeparatedOverwrites, but the independent loop
- between the first and second writes writes to a different subset
+ between the first and second writes to a different subset
of the same buffer.
"""
diff --git a/web/src/environment.ts b/web/src/environment.ts
index 24126c0961..42a873f128 100644
--- a/web/src/environment.ts
+++ b/web/src/environment.ts
@@ -109,7 +109,7 @@ export class Environment implements LibraryProvider {
}
private environment(initEnv: Record<string, any>): Record<string, any> {
- // default env can be be overriden by libraries.
+ // default env can be overriden by libraries.
const defaultEnv = {
"__cxa_thread_atexit": (): void => {},
// eslint-disable-next-line @typescript-eslint/no-unused-vars
