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tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_custom_aggregation_op_to_quant_stats.mlir
// CHECK-NEXT: return %[[stats]], %arg0 func.func @doNotHandleNoMinMaxCases(%arg0: tensor<8x8x8x8xf32>) -> (tensor<8x8x8x8xf32>, tensor<8x8x8x8xf32>, tensor<8x8x8x8xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 06:25:50 UTC 2024 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/duplicate_shape_determining_constants.mlir
func.func private @duplicate_const_for_shape_determining_operand_with_variadic_operand(%arg0: tensor<16x1xf32>) -> tensor<16x4xf32> { %axis = "tf.Const"() {device = "", value = dense<1> : tensor<i32>} : () -> tensor<i32> // tf.ConcatV2 accepts a variadic operand. The last operand should be compile // time constant.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 24 07:44:46 UTC 2022 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/mlir-module-serialized-str-attr.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 24 06:42:46 UTC 2023 - 672 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_executor_ops_printer.mlir
// Tests printer for tf_executor.island "wraps" short form. // CHECK-LABEL: func @island_wrap_print func.func @island_wrap_print(%arg0: tensor<i32>, %arg1: tensor<f32>) { tf_executor.graph { // CHECK: tf_executor.island wraps "tf.IdentityN" %0:3 = tf_executor.island { %1:2 = "tf.IdentityN"(%arg0, %arg1) : (tensor<i32>, tensor<f32>) -> (tensor<i32>, tensor<f32>) loc("identity@some_function")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/instrumentations/save_report_test.cc
TEST_F(SaveQuantizationReportInstrumentationTest, SaveReport) { constexpr absl::string_view kModuleWithCompositeDotGeneral = R"mlir( func.func @main(%arg0: tensor<1x2xf32>) -> tensor<1x3xf32> { %cst = "tf.Const"() {value = dense<3.00000000e-1> : tensor<2x3xf32>} : () -> tensor<2x3xf32> %0 = "quantfork.stats"(%arg0) {layerStats = dense<[6.00000000e-6, 9.00000000e-1]> : tensor<2xf32>} : (tensor<1x2xf32>) -> tensor<1x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 02:59:01 UTC 2024 - 9.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_freeze_assets.mlir
// CHECK: func @f(%arg0 func.func @f(%arg0: tensor<!tf_type.string> {tf_saved_model.index_path = [0]}) attributes {tf_saved_model.exported_names = ["f"]} { %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>
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/tensorflow/tests/unroll-batch-matmul.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:42:28 UTC 2023 - 63.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/README.md
``` func @simpleTest(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> { %0 = call @func_0_GPU_FLOAT(%arg0, %arg1, %arg2) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_0"} : (tensor<1xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tf_xla_op_to_tf_op.mlir
func.func @xla_dot_v2(%arg0: tensor<?x2x3xf32>, %arg1: tensor<3x4x5xf32>) -> (tensor<?x2x4x5xf32>) { %0 = "tf.XlaDotV2"(%arg0, %arg1) {device = "", dimension_numbers = "\0A\01\02\12\01\00", precision_config = ""} : (tensor<?x2x3xf32>, tensor<3x4x5xf32>) -> tensor<?x2x4x5xf32> func.return %0 : tensor<?x2x4x5xf32> } // CHECK: func @xla_dot_v2
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/rewrite_ifrt_load_variable.mlir
// CHECK-NEXT: [[TENSOR:%.*]] = "tf_mlrt.tf_await"([[FURTURE]]) : (!mlrt.future) -> tensor<3x1xf32> // CHECK-NEXT: "tf.MatMul"(%arg0, [[TENSOR]]) : (tensor<1x3xf32>, tensor<3x1xf32>) -> tensor<1x1xf32> // CHECK-NEXT: "tf.IfrtCall"(%arg0, [[ARRAYKEY]]) <{program_id = 6515870160938153680 : i64, variable_arg_indices = [1 : i32]}> {__tpu_compile_metadata_text = "retvals { sharding { } }"} : (tensor<1x3xf32>, tensor<!tf_type.string>) -> tensor<1x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:35:32 UTC 2024 - 1.7K bytes - Viewed (0)