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Results 1 - 10 of 53 for 4xf64 (0.07 sec)
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tensorflow/compiler/mlir/lite/tests/lift_tflite_flex_ops.mlir
func.func @TfAdd(%arg0: tensor<4xf64>, %arg1: tensor<4xf64>) -> tensor<4xf64> { %0 = "tfl.custom"(%arg0, %arg1) { custom_code = "FlexAdd", custom_option = #tfl<const_bytes : "0x03416464001412034164641A001A002A070A015412023002320000021B171414042801"> } : (tensor<4xf64>, tensor<4xf64>) -> tensor<4xf64> // CHECK: "tf.Add"(%arg0, %arg1) {T = f64} : (tensor<4xf64>, tensor<4xf64>) -> tensor<4xf64> func.return %0 : tensor<4xf64> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir
func.return %0 : tensor<4xf32> } func.func @f64() -> tensor<4xf64> { // CHECK-LABEL: @f64 // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf64> %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf64> } : () -> tensor<4xf64> func.return %0 : tensor<4xf64> } func.func @i8() -> tensor<4xi8> { // CHECK-LABEL: @i8
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir
func.return %0 : tensor<4xf32> } func.func @f64() -> tensor<4xf64> { // CHECK-LABEL: @f64 // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf64> %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf64> } : () -> tensor<4xf64> func.return %0 : tensor<4xf64> } func.func @i8() -> tensor<4xi8> { // CHECK-LABEL: @i8
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
// CHECK-NOT: tf.BesselI0e %0 = "tf.BesselI0e"(%arg0) : (tensor<3xf16>) -> (tensor<3xf16>) %1 = "tf.BesselI0e"(%arg1) : (tensor<3xf32>) -> (tensor<3xf32>) %2 = "tf.BesselI0e"(%arg2) : (tensor<3xf64>) -> (tensor<3xf64>) func.return %0, %1, %2 : tensor<3xf16>, tensor<3xf32>, tensor<3xf64> } // CHECK-LABEL: bessel_i1e
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
} // CHECK-LABEL: func @testEmptyFloat func.func @testEmptyFloat() -> (tensor<5xf64>) { %0 = "tf.Const"() { value = dense<5> : tensor<i32> } : () -> tensor<i32> // CHECK: [[VAL:%.+]] = "tf.Const"() <{value = dense<0.000000e+00> : tensor<5xf64>}> // CHECK: return [[VAL]] %1 = "tf.Empty"(%0) : (tensor<i32>) -> (tensor<5xf64>) func.return %1 : tensor<5xf64> } // CHECK-LABEL: func @testEmptyf16
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_optimize.mlir
%cst_2 = arith.constant dense<[8, 6, 6, 18]> : tensor<4xi64> %98 = "tf.Reshape"(%97, %cst_2) : (tensor<1x8x6x1x6x1x1x18xbf16>, tensor<4xi64>) -> tensor<8x6x6x18xbf16> func.return %98 : tensor<8x6x6x18xbf16> // CHECK-DAG: %[[CST:.*]] = "tf.Const"() <{value = dense<[8, 1, 1, 18]> : tensor<4xi64>}> : () -> tensor<4xi64> // CHECK-DAG: %[[CST1:.*]] = "tf.Const"() <{value = dense<[8, 6, 6, 18]> : tensor<4xi64>}> : () -> tensor<4xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nhwc.mlir
// CHECK: %[[CST:.*]] = "tf.Const"() <{value = dense<[0, 2, 3, 1]> : tensor<4xi64>}> // CHECK: %[[R0:.*]] = "tf.Transpose"(%[[ARG0]], %[[CST]]) // CHECK: %[[R1:.*]] = "tf.BiasAdd"(%[[R0]], %[[ARG1]]) <{data_format = "NHWC"}> {device = ""} // CHECK: %[[CST_0:.*]] = "tf.Const"() <{value = dense<[0, 3, 1, 2]> : tensor<4xi64>}> // CHECK: "tf.Transpose"(%[[R1]], %[[CST_0]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/odml_converter/tests/shlo_simplify.mlir
// ----- func.func @foldDivF64() -> tensor<2xf64> { %0 = stablehlo.constant dense<[2.0, 3.0]> : tensor<2xf64> %1 = stablehlo.constant dense<[4.0, 6.0]> : tensor<2xf64> %2 = stablehlo.divide %0, %1 : tensor<2xf64> return %2 : tensor<2xf64> } // CHECK-LABEL: foldDivF64 // CHECK: stablehlo.constant dense<5.000000e-01> : tensor<2xf64> // ----- func.func @foldDivI32() -> tensor<2xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 03:05:20 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nchw.mlir
// CHECK-LABEL: func @transposeConv2D func.func @transposeConv2D(%input: tensor<1x32x32x3xf32>, %filter: tensor<1x1x3x8xf32>) -> tensor<1x7x7x8xf32> { // CHECK: %[[ARG_PERM:.*]] = "tf.Const"() <{value = dense<[0, 3, 1, 2]> : tensor<4xi64>}> // CHECK: %[[ARG_TRANSPOSE:[0-9]*]] = "tf.Transpose"(%arg0, %[[ARG_PERM]]) // CHECK: %[[CONV2D:[0-9]*]] = "tf.Conv2D"(%[[ARG_TRANSPOSE]], %arg1) // CHECK-SAME: data_format = "NCHW"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0)