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staging/src/k8s.io/apimachinery/pkg/api/resource/quantity_test.go
{"1e13", decQuantity(1, 13, DecimalExponent)}, {"1e3", decQuantity(1, 3, DecimalExponent)}, {"100.035k", decQuantity(100035, 0, DecimalSI)}, // Things that look like floating point {"0.001", decQuantity(1, -3, DecimalSI)}, {"0.0005k", decQuantity(5, -1, DecimalSI)}, {"0.005", decQuantity(5, -3, DecimalSI)}, {"0.05", decQuantity(5, -2, DecimalSI)}, {"0.5", decQuantity(5, -1, DecimalSI)},
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 29 21:48:10 UTC 2024 - 49.4K bytes - Viewed (0) -
architecture/standards/0001-use-architectural-decision-records.md
# ADR-0001 - Use Architectural Decision Records ## Date 2023-12-01 ## Context In a distributed team with many subteams, the best solution to communicate decisions is to use a format accessible by everyone in charge of development. We use *Specification* and *Discovery* documents stored in Google Drive, but they present some downsides:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Mar 02 21:54:40 UTC 2024 - 2.8K bytes - Viewed (0) -
src/test/java/org/codelibs/core/convert/BigDecimalConversionUtilTest.java
assertEquals(0, new BigDecimal("0.001").compareTo(BigDecimalConversionUtil.toBigDecimal(new Double(0.001D)))); assertEquals(0, new BigDecimal("0.0001").compareTo(BigDecimalConversionUtil.toBigDecimal(new Double(0.0001D)))); assertEquals(0, new BigDecimal("0.00001").compareTo(BigDecimalConversionUtil.toBigDecimal(new Double(0.00001D))));
Registered: Wed Jun 12 12:50:12 UTC 2024 - Last Modified: Thu Mar 07 01:59:08 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tests/import_quant_stats.mlir
%0:2 = "tfl.split"(%cst, %arg0) {num_splits = 2 : i32} : (tensor<i32>, tensor<4xf32>) -> (tensor<2xf32>, tensor<2xf32>) loc(fused["skip1", "skip2.cc":10:8, callsite("op" at "skip3.cc":10:8)]) func.return %0#0, %0#1 : tensor<2xf32>, tensor<2xf32> // CHECK-NEXT: "tfl.split" // CHECK-NEXT: return } // CHECK-LABEL: import_stats_name
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 06:25:50 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/gpu_fusion.mlir
// CHECK-NEXT: %[[Y:[a-z0-9]*]], {{.*}}_FusedBatchNormEx // CHECK-NEXT: return %[[Y]] %y:6 = "tf.FusedBatchNormV3"(%arg0, %arg1, %arg2, %arg3, %arg4) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", epsilon = 0.001 : f32, is_training = false} : (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir
// %0:6 = "tf.FusedBatchNormV3"(%cst_0, %cst_1, %cst_2, %cst_1, %cst_2) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", epsilon = 0.001 : f32, is_training = false} : (tensor<1x1x2x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> (tensor<1x1x2x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 13.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_validate_inputs.mlir
%ro:2, %c2 = tf_executor.island wraps "tf.TPUReplicatedOutput"(%out) : (tensor<i32>) -> (tensor<i32>, tensor<i32>) tf_executor.fetch %ro#0, %ro#1 : tensor<i32>, tensor<i32> } return %0#0, %0#1 : tensor<i32>, tensor<i32> } // ----- func.func @num_replicas_replicated_input(%arg0: tensor<i32>, %arg1: tensor<i32>, %arg2: tensor<i32>, %arg3: tensor<i32>) -> (tensor<i32>, tensor<i32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 06:51:01 UTC 2024 - 15.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/hoist_loop_invariant.mlir
"tf.Yield"(%3, %4) : (tensor<i32>, tensor<i32>) -> () }) {is_stateless = true, parallel_iterations = 10 : i64} : (tensor<i32>, tensor<i32>) -> (tensor<i32>, tensor<i32>) return %0#0, %0#1 : tensor<i32>, tensor<i32> } // ----- // Check that `tf.ReadVariableOp` is hoisted because the variable is readonly. // The following ops that depend on `tf.ReadVariableOp` and satisfy hoisting
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 22 17:12:02 UTC 2023 - 14.2K bytes - Viewed (0) -
test/print.out
(0x0,0x0) (0x0,0x0) 0x0 [0/0]0x0 -7 7 7 7 7 7 7 +8.000000e+000 (+9.000000e+000+1.000000e+001i) true false hello one two one two hello false true (+1.400000e+001+1.500000e+001i) +1.300000e+001 12 12 12 12 12 12 -11 [0/0]0x0 0x0 (0x0,0x0)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Sep 26 04:08:38 UTC 2017 - 247 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/extract_tpu_copy_with_dynamic_shape_op.mlir
tf_device.return %3#0, %3#1 : tensor<2048xi32>, tensor<2048xi32> }) {device = "TPU_REPLICATED_HOST_0"} : () -> (tensor<2048xi32>, tensor<2048xi32>) return %0#0, %0#1: tensor<2048xi32>, tensor<2048xi32> } // CHECK-LABEL: func @valid_copy_op_in_non_replicated_host // CHECK: "tf_device.launch" // CHECK-SAME: "/job:localhost/replica:0/task:0/device:CPU:0"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 4.9K bytes - Viewed (0)