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Automated Code Change #21586

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Automated Code Change #21586

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4 changes: 2 additions & 2 deletions xla/tsl/util/device_name_utils.h
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Original file line number Diff line number Diff line change
Expand Up @@ -276,8 +276,8 @@ class DeviceNameUtils {
static absl::Status DeviceNameToCpuDeviceName(const std::string& device_name,
std::string* host_device_name);

static bool CompareFullNames(const absl::string_view& a,
const absl::string_view& b) {
static bool CompareFullNames(const absl::string_view a,
const absl::string_view b) {
ParsedName parsed_a;
ParsedName parsed_b;
bool a_status = ParseFullName(a, &parsed_a);
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2 changes: 1 addition & 1 deletion xla/tsl/util/stats_calculator.h
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Expand Up @@ -222,7 +222,7 @@ class StatsCalculator {

std::string HeaderString(const std::string& title) const;
std::string ColumnString(const Detail& detail,
const int64_t cumulative_stat_on_node,
int64_t cumulative_stat_on_node,
const Stat<int64_t>& stat) const;

Stat<int64_t> run_total_us_;
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7 changes: 3 additions & 4 deletions xla/tsl/util/use_cudnn.h
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Expand Up @@ -34,10 +34,9 @@ int64_t DebugCudnnRnnAlgo();
// Returns true if the CuDNN depthwise convolution can be used. See cudnn
// release note 7.6.3.
// (https://docs.nvidia.com/deeplearning/sdk/cudnn-release-notes/rel_763.html)
bool ShouldCudnnGroupedConvolutionBeUsed(const int32_t filter_rows,
const int32_t filter_cols,
const int32_t in_depth,
const int32_t out_depth);
bool ShouldCudnnGroupedConvolutionBeUsed(int32_t filter_rows,
int32_t filter_cols, int32_t in_depth,
int32_t out_depth);
} // namespace tsl

#endif // XLA_TSL_UTIL_USE_CUDNN_H_