- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 11 for elu (0.6 sec)
-
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf_patterns.td
def : Pat<(TF_OnesLikeOp AnyTensor:$arg), (MHLO_ConstantLike<"1"> $arg)>; //===----------------------------------------------------------------------===// // Elu op patterns. //===----------------------------------------------------------------------===// def : Pat<(TF_EluOp AnyTensor:$features), (MHLO_SelectOp (MHLO_CompareOp $features,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 34.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
MIRROR_PAD = 100, ABS = 101, SPLIT_V = 102, UNIQUE = 103, CEIL = 104, REVERSE_V2 = 105, ADD_N = 106, GATHER_ND = 107, COS = 108, WHERE = 109, RANK = 110, ELU = 111, REVERSE_SEQUENCE = 112, MATRIX_DIAG = 113, QUANTIZE = 114, MATRIX_SET_DIAG = 115, ROUND = 116, HARD_SWISH = 117, IF = 118, WHILE = 119, NON_MAX_SUPPRESSION_V4 = 120,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
MIRROR_PAD = 100, ABS = 101, SPLIT_V = 102, UNIQUE = 103, CEIL = 104, REVERSE_V2 = 105, ADD_N = 106, GATHER_ND = 107, COS = 108, WHERE = 109, RANK = 110, ELU = 111, REVERSE_SEQUENCE = 112, MATRIX_DIAG = 113, QUANTIZE = 114, MATRIX_SET_DIAG = 115, ROUND = 116, HARD_SWISH = 117, IF = 118, WHILE = 119, NON_MAX_SUPPRESSION_V4 = 120,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK-LABEL:cos // CHECK: "tfl.cos"(%arg0) : (tensor<f32>) -> tensor<f32> } func.func @elu(%arg0: tensor<11x16xf32>) -> tensor<11x16xf32> { %0 = "tf.Elu"(%arg0) : (tensor<11x16xf32>) -> tensor<11x16xf32> func.return %0 : tensor<11x16xf32> // CHECK-LABEL:elu // CHECK: "tfl.elu"(%arg0) : (tensor<11x16xf32>) -> tensor<11x16xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
// Others "AddN", "Bitcast", "Cast", "ClipByValue", "Const", "Empty", "Identity", "IdentityN", "Relu", "Relu6", "ReluGrad", "Relu6Grad", "LeakyReluGrad", "Elu", "EluGrad", "Selu", "SeluGrad", "Select", "SelectV2", "Transpose", "ConjugateTranspose", "_UnaryOpsComposition", "CollectiveReduceV2", "CollectiveAssignGroupV2",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_EluOp : TF_Op<"Elu", [Pure, TF_SameOperandsAndResultTypeResolveRef]> { let summary = "Computes the exponential linear function."; let description = [{ The ELU function is defined as: * $ e ^ x - 1 $ if $ x < 0 $ * $ x $ if $ x >= 0 $ Examples: >>> tf.nn.elu(1.0) <tf.Tensor: shape=(), dtype=float32, numpy=1.0> >>> tf.nn.elu(0.0)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
void $cppClass::print(OpAsmPrinter &p) { return printOneResultOp(getOperation(), p); } }]; let hasOptions = 1; let hasFolder = 1; } def TFL_EluOp: TFL_Op<"elu", [ Pure, SameOperandsAndResultShape, TFL_SameFirstOperandAndFirstResultElementType]> { let summary = "Exponential Linear Unit operator"; let description = [{ Computes the exponential linear
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
} // CHECK-LABEL: func @fuseElu func.func @fuseElu(%arg0: tensor<10xf32>) -> tensor<10xf32> attributes {tf.entry_function = {control_outputs = "", inputs = "args_tf_0", outputs = "Identity_1"}} { // CHECK: "tfl.elu" %cst = arith.constant dense<1.000000e+00> : tensor<f32> %cst_0 = arith.constant dense<0.000000e+00> : tensor<10xf32> %0 = tfl.greater(%arg0, %cst_0) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10xi1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0)