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Results 161 - 170 of 839 for nilcheck (0.14 sec)
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tensorflow/compiler/mlir/tfrt/tests/remove_device_attribute.mlir
// RUN: tf-tfrt-opt -tfrt-remove-device-attribute %s | FileCheck %s func.func @test(%arg0: !tfrt.chain, %arg1: !corert.tensorhandle) -> (!tfrt.chain, !corert.tensorhandle) { %0 = corert.get_op_handler %arg0 "cpu" // CHECK: %[[RESULT:.*]] = corert.executeop(%[[ARG_0:.*]]) "tf.MatMul"(%[[ARG_1:.*]], %[[ARG_1]]) {T = f32, transpose_a = false, transpose_b = false} : 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 10:58:25 UTC 2022 - 560 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir
// RUN: tf-opt %s -tfl-prepare-quantize-dynamic-range -tfl-quantize="enable-dynamic-range-quantization=true enable-weight-only-quantization=true" | FileCheck --check-prefix=PerChannelWeightOnly %s // RUN: tf-opt %s -tfl-prepare-quantize-dynamic-range="enable-dynamic-range-per-channel-quantization=false" -tfl-quantize="enable-dynamic-range-quantization=true" | FileCheck --check-prefix=PerTensor %s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 23 21:09:00 UTC 2024 - 23.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-broadcast.mlir
// RUN: odml-to-stablehlo-opt %s -tfl-parse-stablehlo-ops | FileCheck %s module { func.func @main(%arg0: tensor<1x2xi32>) -> tensor<1x2x2xi32> { %0 = "tfl.custom"(%arg0) {custom_code = "stablehlo.broadcast_in_dim", custom_option = #tfl<const_bytes : "0x62726F6164636173745F64696D656E73696F6E73000201020119010101072C022401">} : (tensor<1x2xi32>) -> tensor<1x2x2xi32> func.return %0 : tensor<1x2x2xi32> } } // CHECK: module {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 16 05:09:09 UTC 2022 - 704 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-reshape.mlir
// RUN: odml-to-stablehlo-opt %s -tfl-parse-stablehlo-ops | FileCheck -dump-input always %s module { func.func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> { %0 = "tfl.custom"(%arg0) {custom_code = "stablehlo.reshape", custom_option = #tfl<const_bytes : "0x00000100002401">} : (tensor<2xi32>) -> tensor<2xi32> func.return %0 : tensor<2xi32> } } // CHECK: module { // CHECK-NEXT: func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 16 05:09:09 UTC 2022 - 616 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/tf_variant_type.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - | FileCheck %s func.func @main(%arg0 : tensor<!tf_type.variant<tensor<2xi32>>>, %arg1: tensor<!tf_type.variant<tensor<*xi32>>>) -> tensor<!tf_type.variant<tensor<2xi32>>> { func.return %arg0 : tensor<!tf_type.variant<tensor<2xi32>>> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 21:25:51 UTC 2024 - 629 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/type_list_attr.mlir
// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s func.func @main() { tf_executor.graph { // CHECK: key: "emptylist" // CHECK-NEXT: value { // CHECK-NEXT: list { // CHECK-NEXT: } // CHECK-NEXT: } // CHECK: key: "typelist" // CHECK-NEXT: value { // CHECK-NEXT: list { // CHECK-NEXT: type: DT_INT32 // CHECK-NEXT: type: DT_FLOAT // CHECK-NEXT: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 700 bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ifrt/tf_restore_splitting.mlir
// RUN: tf-tfrt-opt %s -tf-restore-splitting | FileCheck %s // CHECK-LABEL: func @single_restore // CHECK-SAME: (%[[ARG0:.*]]: {{.*}}) func.func @single_restore(%arg0: tensor<!tf_type.string>) -> (tensor<*xf32>, tensor<*xi32>) { %0 = "tf.Const"() {value = dense<["foo", "bar"]> : tensor<2x!tf_type.string>} : () -> tensor<2x!tf_type.string> %1 = "tf.Const"() {value = dense<""> : tensor<2x!tf_type.string>} : () -> tensor<2x!tf_type.string>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 05 23:51:03 UTC 2024 - 1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/feed-control-dep.pbtxt
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-input-arrays=input -tf-input-data-types=DT_FLOAT -tf-output-arrays=output_node -o - | FileCheck %s node { name: "input" op: "Placeholder" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "shape" value { shape { dim { size: 1 } } } } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 10 19:53:21 UTC 2020 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-function-input-shapes.pbtxt
# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s # Verify that the _input_shapes attribute of the FunctionDef is respected. # This also checks that the output type is correctly inferred based on # that. #CHECK: func private @identity_function0(%arg0: tensor<i32>) -> tensor<i32> node { name: "Placeholder" op: "Placeholder" attr { key: "dtype" value { type: DT_BOOL
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Nov 11 19:14:04 UTC 2020 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_to_nchw.mlir
// RUN: tf-opt %s -tf-layout-optimization=force-data-format=NCHW -verify-diagnostics | FileCheck %s --dump-input=always // CHECK-LABEL: func @transposeConv2D func.func @transposeConv2D(%arg0: tensor<1x3x32x32xf32>, %arg1: tensor<1x1x3x8xf32>) -> tensor<1x8x32x32xf32> { // Convert input: NCHW -> NHWC %0 = "tf.Const"() {value = dense<[0, 2, 3, 1]> : tensor<4xi32>} : () -> tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 1.3K bytes - Viewed (0)