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Results 1 - 9 of 9 for global_ml_ (0.2 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/lower_globals_to_ml_program.cc
for (auto globalTensor : module.getOps<tf_saved_model::GlobalTensorOp>()) { auto exportedNames = tf_saved_model::GetExportedNames(globalTensor); std::string name; if (exportedNames.empty()) { name = "global_ml_" + globalTensor.getSymName().str(); } else if (exportedNames.size() == 1) { name = exportedNames[0].str(); } else { return globalTensor.emitError()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics_collector_min_max.cc
namespace calibrator { void CalibrationStatisticsCollectorMinMax::ClearData() { // global_min will be updated by std::min(global_min, input_value) so // it is initialized with the value numeric_limits<float>::max(). min_max_statistics_.set_global_min(std::numeric_limits<float>::max()); // global_max will be updated by std::max(global_max, input_value) so it // is initialized with the value numeric_limits<float>::lowest().
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 05 03:57:26 UTC 2024 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics.proto
// Calibration algorithm's collecting statistics. // NEXT_ID: 4 message CalibrationStatistics { message MinMaxStatistics { // global minimum of all sample datasets. float global_min = 1; // global maximum of all sample datasets. float global_max = 2; } message AverageMinMaxStatistics { // sum of batch's minimum in each sample dataset. float min_sum = 1;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 16 04:33:52 UTC 2024 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics_collector_test.cc
std::optional<CalibrationStatistics> statistics = collector.GetStatistics(); EXPECT_TRUE(statistics.has_value()); EXPECT_EQ(statistics.value().min_max_statistics().global_min(), -5.0f); EXPECT_EQ(statistics.value().min_max_statistics().global_max(), 10.0f); } TEST(CalibrationStatisticsCollectorTest, SimpleAverageMinMax) { auto collector = CalibrationStatisticsCollectorAverageMinMax(); collector.Collect(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 16 04:33:52 UTC 2024 - 12.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm_test.py
calibration_method=_CalibrationMethod.CALIBRATION_METHOD_MIN_MAX ) statistics = calib_stats_pb2.CalibrationStatistics() statistics.min_max_statistics.global_min = 1.0 statistics.min_max_statistics.global_max = 5.0 min_value, max_value = calibration_algorithm.get_min_max_value( statistics, calib_opts ) self.assertAllEqual((min_value, max_value), (1.0, 5.0))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics_saver_op_test.cc
const CalibrationStatistics& stats = statistics_map.statistics().at("1"); ASSERT_TRUE(stats.has_min_max_statistics()); EXPECT_FLOAT_EQ(stats.min_max_statistics().global_min(), 1.f); EXPECT_FLOAT_EQ(stats.min_max_statistics().global_max(), 5.f); } TEST_F(CalibrationStatisticsSaverTest, SimpleAverageMinMax) { std::vector<std::string> ids{"1"}; std::vector<int32_t> calibration_methods{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 13 01:31:23 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm.py
Returns: (min_value, max_value): Min and max calculated using MinMax """ return ( self._statistics.min_max_statistics.global_min, self._statistics.min_max_statistics.global_max, ) @_implements(_CalibrationMethod.CALIBRATION_METHOD_AVERAGE_MIN_MAX) class _AverageMinMax(_CalibrationAlgorithmBase):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 14.7K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device.h
// compute streams used in each XLA device. It is only used if // `use_global_compute_stream` in `XlaDevice::Options` is set to true. static mutex global_mu_; static std::vector<std::shared_ptr<se::Stream>>* global_compute_streams_ TF_GUARDED_BY(global_mu_); }; // Builds OpKernel registrations on 'device' for the JIT operators // registered on 'jit_device'. Returns ownership of a XlaDeviceOpRegistrations
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device.cc
const Metadata** metadata) { return GetMetadataFromDevice(ctx->device(), metadata); } /* static */ mutex XlaDevice::global_mu_(LINKER_INITIALIZED); /* static */ std::vector<std::shared_ptr<se::Stream>>* XlaDevice::global_compute_streams_ = new std::vector<std::shared_ptr<se::Stream>>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 21:05:42 UTC 2024 - 24.3K bytes - Viewed (0)