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tensorflow/compiler/mlir/tensorflow/tests/legalize_tfg_arg_control_dep.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 06 02:08:28 UTC 2022 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/raise-custom-ops.mlir
// WRAPPED-NEXT: %[[fq:.*]] = "tf.FakeQuantWithMinMaxVarsPerChannel"(%arg1, %arg2, %arg3) <{narrow_range = true, num_bits = 8 : i64}> {device = ""} : (tensor<*xf32>, tensor<186xf32>, tensor<186xf32>) -> tensor<*xf32> // WRAPPED-NEXT: "tfl.yield"(%[[fq]]) : (tensor<*xf32>) -> () // WRAPPED-NEXT: }) {device = "", narrow_range = true, num_bits = 8 : i64} : (tensor<*xf32>, tensor<186xf32>, tensor<186xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_update_embedding_enqueue_op_inputs.mlir
"tf.EnqueueTPUEmbeddingSparseTensorBatch"(%arg0, %arg1, %arg2, %arg3, %arg4, %arg5, %0, %0, %0, %arg7) {_tpu_embedding_layer = "call1", _xla_outside_compilation = "0", combiners = ["mean", "sum"], device_ordinal = -1 : i64, max_sequence_lengths = [0, 0, 0], table_ids = [1, 1, 0]} : (tensor<?x2xi32>, tensor<?x2xi32>, tensor<?x2xi32>, tensor<?xi32>, tensor<?xi32>, tensor<?xi32>, tensor<0xf32>, tensor<0xf32>, tensor<0xf32>, tensor<!tf_type.string>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/xla_broadcast.mlir
tf_device.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 18:52:07 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_fake_quant_to_qdq.mlir
%0 = "tf.FakeQuantWithMinMaxVars"(%arg0, %cst, %cst_0) { device = "", narrow_range = false, num_bits = 8 : i64 } : (tensor<3xf32>, tensor<f32>, tensor<f32>) -> tensor<3xf32> %1 = "tf.FakeQuantWithMinMaxVarsPerChannel"(%arg1, %cst_1, %cst_2) { device = "", narrow_range = true, num_bits = 8 : i64 } : (tensor<4x3xf32>, tensor<3xf32>, tensor<3xf32>) -> tensor<4x3xf32> func.return %0, %1 : tensor<3xf32>, tensor<4x3xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 24 07:02:54 UTC 2022 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_remove_vars_in_session_initializer.mlir
%2 = "tf.HashTableV2"() {key_dtype = !tf_type.string, shared_name = "table", value_dtype = i64} : () -> tensor<!tf_type.resource> %3 = "tf.ReadVariableOp"(%0) : (tensor<*x!tf_type.resource<tensor<!tf_type.string>>>) -> tensor<!tf_type.string> "tf.InitializeTableFromTextFileV2"(%2, %3) {key_index = -2 : i64, value_index = -1 : i64} : (tensor<!tf_type.resource>, tensor<!tf_type.string>) -> () func.return } // CHECK: func @init()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 02 00:22:36 UTC 2023 - 5.2K bytes - Viewed (0) -
src/strconv/doc.go
// but if the size argument specifies a narrower width the result can be // converted to that narrower type without data loss: // // s := "2147483647" // biggest int32 // i64, err := strconv.ParseInt(s, 10, 32) // ... // i := int32(i64) // // [FormatBool], [FormatFloat], [FormatInt], and [FormatUint] convert values to strings: // // s := strconv.FormatBool(true) // s := strconv.FormatFloat(3.1415, 'E', -1, 64)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Apr 04 14:21:28 UTC 2024 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/legalize_tfg_with_control_flow.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 06 18:31:38 UTC 2022 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/restore_function_name.mlir
return %0 : tensor<1x3xf32> // CHECK: %[[CALL:.+]] = "tf.XlaCallModule"(%[[ARG0]], %[[ARG1]]) // CHECK-SAME: _entry_function = @composite_dot_general_fn_1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 3.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ir/testdata/test.mlir
%cpu = corert.get_op_handler %ch "cpu" %0 = corert.executeop(%cpu) "tf.Relu"(%arg0) { T = f32 } : 1 %arg1 = tfrt_fallback_async.corert_tensorhandle_to_fallback_tensor %arg1_th {_tfrt_cost = 1 : i64, device = "/CPU:0"} : (!corert.tensorhandle) -> (!tfrt_fallback.tf_tensor) %1 = tfrt_fallback_async.executeop key(0) cost(100) device("/CPU:0") "tf.Relu"(%arg1) { T = f32 } : 1 tfrt.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 11:03:04 UTC 2022 - 496 bytes - Viewed (0)