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Results 1 - 2 of 2 for calibrate (0.13 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
effective_hidden_scale_intermediate = tensor<!quant.calibrated<f32<-5.000000e-01:5.000000e-01>>>, fused_activation_function = "TANH", input_to_cell_intermediate = tensor<!quant.calibrated<f32<-4.000000e+00:4.000000e+00>>>, input_to_forget_intermediate = tensor<!quant.calibrated<f32<-1.600000e+01:1.600000e+01>>>, input_to_output_intermediate = tensor<!quant.calibrated<f32<-1.000000e+00:1.000000e+00>>>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
pkg/controller/podautoscaler/replica_calculator_test.go
tc.runTest(t) } // TestComputedToleranceAlgImplementation is a regression test which // back-calculates a minimal percentage for downscaling based on a small percentage // increase in pod utilization which is calibrated against the tolerance value. func TestReplicaCalcComputedToleranceAlgImplementation(t *testing.T) { startPods := int32(10) // 150 mCPU per pod. totalUsedCPUOfAllPods := int64(startPods * 150)
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Sat Aug 19 03:31:34 UTC 2023 - 68.4K bytes - Viewed (0)