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Results 11 - 20 of 115 for arity (0.04 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir
layerStats = dense<[-1.28e-5, 1.27e-5]> : tensor<2xf32> } : (tensor<1x5x5x2xf32>) -> tensor<1x5x5x2xf32> %w = arith.constant dense<[[[[-1.0, 1.0]]], [[[1.0, 2.0]]], [[[-2.0, 1.0]]]]> : tensor<3x1x1x2xf32> %b = arith.constant dense<0.0> : tensor<3xf32> %b2 = arith.constant dense<[1.0e-2, 2.1473647e1, -2.1473647e2]> : tensor<3xf32> %conv = "tfl.conv_2d"(%0, %w, %b) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
%0 = arith.constant dense<-1.0> : tensor<f32> %1 = arith.constant dense<1.0> : tensor<f32> %2 = arith.constant dense<1.0> : tensor<f32> %3 = arith.constant dense<1.0> : tensor<f32> %4 = arith.constant dense<4.0> : tensor<f32> %5 = arith.constant dense<4.0> : tensor<f32> %6 = arith.constant dense<2.0> : tensor<f32> // CHECK-DAG: [[cst0:%.*]] = arith.constant dense<1.000000e+00> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0) -
internal/config/storageclass/storage-class.go
if err != nil { return err } sc.Parity = s.Parity return nil } // MarshalText - marshals storage class string. func (sc *StorageClass) MarshalText() ([]byte, error) { if sc.Parity != 0 { return []byte(fmt.Sprintf("%s:%d", schemePrefix, sc.Parity)), nil } return []byte{}, nil } func (sc *StorageClass) String() string { if sc.Parity != 0 {
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 11.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/decompose.mlir
func.return %result : !tfr.tensor_list // CHECK-DAG: %[[N_128:.*]] = arith.constant -128 : i32 // CHECK-DAG: %[[N32:.*]] = arith.constant 32 : i32 // CHECK-DAG: %[[N42:.*]] = arith.constant 42 : i32 // CHECK-DAG: %[[N52:.*]] = arith.constant 52 : i32 // CHECK-DAG: %[[N102:.*]] = arith.constant 102 : i32 // CHECK-DAG: %[[N127:.*]] = arith.constant 127 : i32 // CHECK-NEXT: %[[none_min:.*]] = "tfr.constant_tensor"(%[[N_128]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 16.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
// CHECK-LABEL: einsum_with_runtime_outputshape1 // CHECK-DAG: %[[cst:.*]] = arith.constant dense<[0, 1, 3, 2]> : tensor<4xi32> // CHECK-DAG: %[[cst_0:.*]] = arith.constant dense<[-1, 36, 1, 32]> : tensor<4xi64> // CHECK-DAG: %[[cst_1:.*]] = arith.constant dense<[0, 1]> : tensor<2xi32> // CHECK-DAG: %[[cst_2:.*]] = arith.constant dense<2> : tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/tfl_while_outline.mlir
%cst = arith.constant dense<0.000000e+00> : tensor<4x2xf32> %cst_0 = arith.constant dense<0.000000e+00> : tensor<8xf32> %cst_1 = arith.constant dense<[1, 0, 2]> : tensor<3xi32> %cst_2 = arith.constant dense<0.000000e+00> : tensor<4x4x2xf32> %cst_3 = arith.constant dense<4> : tensor<i32> %cst_4 = arith.constant dense<1.000000e+00> : tensor<f32> %cst_5 = arith.constant dense<1> : tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list.mlir
// CHECK-NEXT: [[NEG_ONE:%.*]] = arith.constant dense<-1> : tensor<1xi32> // CHECK-NEXT: [[ZERO:%.*]] = arith.constant dense<0> : tensor<i32> // CHECK-NEXT: [[ONE:%.*]] = arith.constant dense<1> : tensor<1xi32> // CHECK-NEXT: [[ELEM_SHAPE:%.*]] = "tf.Slice"([[SHAPE]], [[ONE]], [[NEG_ONE]]) : (tensor<?xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xi32> // CHECK-NEXT: [[ZERO_1:%.*]] = arith.constant dense<0> : tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 39.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/python/tfr_gen_test.py
CHECK-NEXT: %{{.*}} = arith.cmpi "eq", %x, %y : i64 CHECK-NEXT: %{{.*}} = arith.cmpi "ult", %x, %y : i64 CHECK-NEXT: %{{.*}} = arith.cmpi "ule", %x, %y : i64 CHECK-NEXT: %{{.*}} = arith.cmpi "ugt", %x, %y : i64 CHECK-NEXT: %{{.*}} = arith.cmpi "uge", %x, %y : i64 CHECK-NEXT: %{{.*}} = arith.cmpi "ne", %x, %y : i64 CHECK-NEXT: %{{.*}} = arith.addi %x, %y : i64
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 13 16:33:28 UTC 2021 - 28.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
func.return %3 : tensor<64xf32> // CHECK-LABEL: func @reshape_removeAdjacentWithMultipleUse // CHECK: %[[CST:.*]] = arith.constant dense<64> : tensor<1xi32> // CHECK: %[[RESHAPE_1:.*]] = "tfl.reshape"(%arg0, %[[CST]]) : (tensor<4x4x4xf32>, tensor<1xi32>) -> tensor<64xf32> // CHECK: %[[RESHAPE_2:.*]] = "tfl.reshape"(%arg0, %[[CST]]) : (tensor<4x4x4xf32>, tensor<1xi32>) -> tensor<64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
%cst_3 = arith.constant dense<1.0> : tensor<20x20xf32> %cst_7 = arith.constant dense<1.0> : tensor<20xf32> %recurrent_input = arith.constant dense<1.0> : tensor<1x20xf32> %recurrent_stats = "quantfork.stats"(%recurrent_input) {layerStats = dense<[-2.0, 1.0]> : tensor<2xf32>} : (tensor<1x20xf32>) -> tensor<1x20xf32> %cell_input = arith.constant dense<1.0> : tensor<1x20xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0)