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Results 1 - 10 of 35 for PartitionedCall (0.43 sec)
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tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/function-order.mlir
func.func @main() { tf_executor.graph { // CHECK: node { // CHECK-NEXT: name: "tf.PartitionedCall" // CHECK-NEXT: op: "PartitionedCall" // CHECK: func { // CHECK: name: "foo" // CHECK: } // CHECK: } %0 = tf_executor.island wraps "tf.PartitionedCall"() {Tin = [], Tout = [], config = "", config_proto = "", device = "", executor_type = "", f = @foo, name = "Call_foo"} : () -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 17 18:52:47 UTC 2023 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/propagate_quantize_type.mlir
%cst = "tf.Const"() {value = dense<127> : tensor<2x1024xi8>} : () -> tensor<2x1024xi8> %0 = "tf.Identity"(%cst) : (tensor<2x1024xi8>) -> tensor<2x1024xi8> %1 = "tf.PartitionedCall"(%0) {config = "", config_proto = "", executor_type = "", f = @composite_dequantize_uniform} : (tensor<2x1024xi8>) -> tensor<2x1024xbf16>
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/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_drq_min_elements.mlir
func.return %out_1, %out_2 : tensor<*xf32>, tensor<*xf32> // CHECK-DAG: %[[CONST:.*]] = "tf.Const"() <{value = dense<0.000000e+00> : tensor<512x512xf32>}> : () -> tensor<512x512xf32> // CHECK: %[[PARTITIONEDCALL:.*]] = "tf.PartitionedCall"(%arg0, %[[CONST]]) // CHECK-SAME: <{config = "", // CHECK-SAME: f = @composite_matmul_fn_1}> // CHECK-NOT: {_tfl_quant_trait = "fully_quantizable"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/inlining.mlir
func.func @dont_inline_custom_on_duplicated_cases() -> tensor<2xi32> { // CHECK-NEXT: "tf.PartitionedCall" // CHECK-NEXT: "tf.PartitionedCall" // CHECK-NEXT: return %0 = "tf.PartitionedCall"() {config = "", config_proto = "", executor_type = "", f = @custom_callee} : () -> tensor<2xi32> %1 = "tf.PartitionedCall"() {config = "", config_proto = "", executor_type = "", f = @custom_callee} : () -> tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf-gradient-attr.mlir
// CHECK: node { // CHECK-NEXT: name: "tf.PartitionedCall" // CHECK-NEXT: op: "PartitionedCall" // CHECK: func { // CHECK: name: "foo" // CHECK: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 17 18:52:47 UTC 2023 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-skip-partitioned-calls.mlir
%1 = "tf.PartitionedCall"(%0) <{ config = "", config_proto = "", executor_type = "", f = @some_other_func }> { _collective_manager_ids = [], device = "" } : (tensor<1x2x2x3xf32>) -> tensor<1x2x2x3xf32> // CHECK-SKIP: tf.PartitionedCall // CHECK-NOSKIP: call @some_other_func // CHECK-NOSKIP-NOT: tf.PartitionedCall func.return %1: tensor<1x2x2x3xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir
func.func @serving_default(%arg0: tensor<1x3x4x3xf32>) -> (tensor<1x3x2x2xf32>) { %0 = "tf.PartitionedCall"(%arg0) {config = "", config_proto = "", executor_type = "", f = @conv2d_with_inliner} : (tensor<1x3x4x3xf32>) -> tensor<1x3x2x2xf32> return %0 : tensor<1x3x2x2xf32> } // CHECK-LABEL: func @serving_default // CHECK: "tf.PartitionedCall" // CHECK-SAME: f = @composite_conv2d_fn_1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq.mlir
module { func.func @matmul(%arg0: tensor<1x2x2x3xf32>) -> (tensor<*xf32>) { %cst_0 = "tf.Const"() {value = dense<0.000000e+00> : tensor<2x1024xf32>} : () -> tensor<2x1024xf32> %1 = "tf.PartitionedCall"(%arg0, %cst_0) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_matmul_fn} : (tensor<1x2x2x3xf32>, tensor<2x1024xf32>) -> tensor<*xf32> func.return %1: tensor<*xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq_per_channel.mlir
module { func.func @matmul(%arg0: tensor<1x2x2x3xf32>) -> (tensor<*xf32>) { %cst_0 = "tf.Const"() {value = dense<0.000000e+00> : tensor<2x1024xf32>} : () -> tensor<2x1024xf32> %1 = "tf.PartitionedCall"(%arg0, %cst_0) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_matmul_fn} : (tensor<1x2x2x3xf32>, tensor<2x1024xf32>) -> tensor<*xf32> func.return %1: tensor<*xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_flow.mlir
// CHECK-NEXT: %[[V0:.*]] = "tf.PartitionedCall"(%[[ARG1]], %[[CST_1]], %[[CST_0]]) <{config = "", config_proto = "", executor_type = "", f = @quantize_i8}> : (tensor<2x3x3x2xf32>, tensor<f32>, tensor<i32>) -> tensor<2x3x3x2xi8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3.5K bytes - Viewed (0)