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Results 1 - 8 of 8 for 4xf64 (0.04 sec)
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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 (1) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
%1 = mhlo.constant dense<0.000000e+00> : tensor<f32> %2 = "mhlo.pad"(%arg0, %1) {edge_padding_high = dense<[0, 0, 1, 1]> : tensor<4xi64>, edge_padding_low = dense<[0, 0, 1, 1]> : tensor<4xi64>, interior_padding = dense<0> : tensor<4xi64>} : (tensor<1x3x6x6xf32>, tensor<f32>) -> tensor<1x3x8x8xf32> %3 = "mhlo.reduce_window"(%2, %1) ({ ^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
// CHECK-LABEL: broadcast_to_to_reshape_i64 func.func @broadcast_to_to_reshape_i64(%arg0: tensor<4x4x4xf32>, %arg1 : tensor<4xi64>) -> tensor<1x4x4x4xf32> { %0 = "tfl.broadcast_to"(%arg0, %arg1) : (tensor<4x4x4xf32>, tensor<4xi64>) -> tensor<1x4x4x4xf32> // CHECK: "tfl.cast" // CHECK-SAME: (tensor<4xi64>) -> tensor<4xi32> // CHECK-NEXT: "tfl.reshape" // CHECK-SAME: (tensor<4x4x4xf32>, tensor<4xi32>) -> tensor<1x4x4x4xf32>
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/stablehlo/tests/tfl_legalize_hlo.mlir
func.return %0 : tensor<2x?x2x4xf32> // CHECK-LABEL: convert_dot_general_dynamic_batch_dim // CHECK: %0 = "tfl.pseudo_const"() <{value = dense<[0, 1, 3, 2]> : tensor<4xi64>}> : () -> tensor<4xi64> // CHECK-NEXT: %1 = "tfl.cast"(%0) : (tensor<4xi64>) -> tensor<4xi32> // CHECK-NEXT: %2 = "tfl.transpose"(%arg1, %1) : (tensor<2x?x4x3xf32>, tensor<4xi32>) -> tensor<2x?x3x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
//CHECK-NEXT: return %0 : tensor<1x161x1xf32> //CHECK-NEXT:} func.func @convert(%arg0: tensor<2xf64>) -> tensor<2xf32> { %0 = "vhlo.convert_v1" (%arg0) : (tensor<2xf64>) -> tensor<2xf32> return %0 : tensor<2xf32> } //CHECK:func.func private @convert(%arg0: tensor<2xf64>) -> tensor<2xf32> { //CHECK-NEXT: %0 = "vhlo.convert_v1"(%arg0) : (tensor<2xf64>) -> tensor<2xf32> //CHECK-NEXT: return %0 : tensor<2xf32> //CHECK-NEXT:}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (1) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-prefer-tf2xla.mlir
// CHECK-NEXT: %15 = mhlo.constant dense<1.000000e+00> : tensor<f32> // CHECK-NEXT: %16 = mhlo.constant dense<[32, 12, 12, 64]> : tensor<4xi64> // CHECK-NEXT: %17 = "mhlo.rng"(%14, %15, %16) <{rng_distribution = #mhlo.rng_distribution<UNIFORM>}> : (tensor<f32>, tensor<f32>, tensor<4xi64>) -> tensor<32x12x12x64xf32> %cst = "tf.Const"() {value = dense<[32, 12, 12, 64]> : tensor<4xi32>} : () -> tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 15.8K bytes - Viewed (0)