- Sort Score
- Result 10 results
- Languages All
Results 31 - 40 of 106 for 7xi64 (0.14 sec)
-
tensorflow/compiler/mlir/tensorflow/tests/init_text_file_to_import_saved_model.mlir
// CHECK-LABEL: func @init_all_tables // CHECK-DAG: [[CST:%.*]] = arith.constant dense<["apple", "banana", "grape"]> : tensor<3x!tf_type.string> // CHECK-DAG: [[CST_0:%.*]] = arith.constant dense<[0, 1, 2]> : tensor<3xi64> // CHECK: [[VAL:%.*]] = "tf.HashTableV2"() // CHECK: "tf.LookupTableImportV2"([[VAL]], [[CST]], [[CST_0]]) } // Tests that the tf.InitializeTableFromTextFileV2 op with explicit vocab size.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/decompose_resource_ops.cc
} // Decompose tf.RngReadAndSkip. // // For Philox, the resource variable holds a tensor<3xi64> with the state: // [counter_lo, counter_hi, key] // // RngReadAndSkip increments the 128 bit counter value by 256 * delta and // returns the original state value. // // For Threefry, the resource variable holds a tensor<2xi64> with the state: // [counter, key] //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 03 12:35:38 UTC 2022 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir
// CHECK: %[[CONST3:.*]] = "tf.Const"() <{value = dense< // CHECK-SAME: [7, 7, 3, 64] // CHECK: %[[CONST4:.*]] = "tf.Const"() <{value = dense< // CHECK-SAME: 0 // CHECK: %[[SLICE0:.*]] = "tf.Slice"(%[[RESHAPE1:.*]], %[[CONST4:.*]], %[[CONST3:.*]]) : (tensor<8x8x3x64xf32>, tensor<4xi64>, tensor<4xi32>) -> tensor<7x7x3x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 37.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
func.return %3 : tensor<2xi64> // CHECK: %[[CST:.*]] = "tf.Const"() <{value = dense<[1, 2]> : tensor<2xi64>}> : () -> tensor<2xi64> // CHECK: return %[[CST]] } // CHECK-LABEL: testFoldStridedSliceShapeDynamicOutput func.func @testFoldStridedSliceShapeDynamicOutput(%arg0: tensor<?x1x2x?xf32>) -> (tensor<?xi32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/optimize.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 22.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/fallback.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf-hashtables.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/propagate_quantize_type.mlir
// CHECK: return %[[GATHER]] : tensor<1x300x10xf32> // ----- module { func.func @propagate_xlagather(%arg0: tensor<10x2xi32>) -> tensor<1x300x10xf32> { %cst = "tf.Const"() {value = dense<[1, 1, 300]> : tensor<3xi64>} : () -> tensor<3xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.6K 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/tests/fuse_mhlo_convolution.mlir
%2 = "mhlo.dynamic_broadcast_in_dim"(%cst_0, %1) <{broadcast_dimensions = dense<3> : tensor<1xi64>}> : (tensor<2xf32>, tensor<4xindex>) -> tensor<?x256x256x2xf32> %3 = mhlo.multiply %0, %2 : tensor<?x256x256x2xf32> %4 = "mhlo.dynamic_broadcast_in_dim"(%cst_1, %1) <{broadcast_dimensions = dense<3> : tensor<1xi64>}> : (tensor<2xf32>, tensor<4xindex>) -> tensor<?x256x256x2xf32> %5 = mhlo.add %3, %4 : tensor<?x256x256x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 4.4K bytes - Viewed (0)