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Results 11 - 20 of 43 for PartitionedCall (0.27 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library.mlir
%i8_max = "tf.Const"() {value = dense<127> : tensor<i8>} : () -> tensor<i8> %clip_min = "tf.PartitionedCall"(%i8_min, %out_scale, %out_zp) { config = "", config_proto = "", executor_type = "", f=@internal_dequantize_i8_fn } : (tensor<i8>, tensor<*xf32>, tensor<*xi32>) -> tensor<*xf32> %clip_max = "tf.PartitionedCall"(%i8_max, %out_scale, %out_zp) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 30.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/freeze_variables.mlir
%val = "tf.PartitionedCall"(%handle) {config = "", config_proto = "", executor_type = "", f = @f_callee} : (tensor<!tf_type.resource<tensor<0xf32>>>) -> (tensor<0xf32>) func.return %val : tensor<0xf32> } // CHECK: func private @f_callee() -> tensor<0xf32> func.func private @f_callee(%arg0: tensor<*x!tf_type.resource>) -> tensor<0xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 23.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_hashtable_ops_as_args.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 15 05:41:44 UTC 2024 - 13.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir
module { func.func @wrap_composite_func(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) -> tensor<*xf32> { %0 = "tf.PartitionedCall"(%arg0, %arg1) <{f = @composite_conv2d_with_relu6_fn}> {_tfl_quant_trait = "fully_quantizable"} : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> func.return %0 : tensor<*xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 32.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized.mlir
%accum_zp_f32 = "tf.ZerosLike"(%accum_scale) : (tensor<*xf32>) -> tensor<*xf32> %accum_zp = "tf.Cast"(%accum_zp_f32) {Truncate = false} : (tensor<*xf32>) -> tensor<*xi32> %main_out = "tf.PartitionedCall"(%input, %filter, %input_scale, %input_zp, %filter_scale, %filter_zp, %accum_scale, %accum_zp) { config = "", config_proto = "", executor_type = "", f=@GenerateImplFunctionName(${main_op})
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 29 01:13:58 UTC 2023 - 19.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir
// CHECK: return %[[SUBGRAPH_1]] : tensor<1024x3xf32> // CHECK: } } // ----- // main function contains PartitionedCall and StatefulPartitionedCall ops which // is used to preserve aliased functions. This test make sure stablehlo ops in // each PartitionedCall functions are lifted. module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1629 : i32}, tf_saved_model.semantics} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 39.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver.mlir
func.func @serving_default(%arg0: tensor<1x3x4x3xf32>) -> (tensor<1x2x2x2xf32>) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_tf_drq.mlir
attributes {tf_quant.quantized_ops = ${quantized_ops}} { %input_scale, %input_zp = "tf.PartitionedCall"(%input) { config = "", config_proto = "", executor_type = "", f=@internal_calculate_quant_params } : (tensor<*xf32>) -> (tensor<*xf32>, tensor<*xi32>) %quantized_input = "tf.PartitionedCall"(%input, %input_scale, %input_zp) { config = "", config_proto = "", executor_type = "", f=@internal_quantize_i8
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 15:43:38 UTC 2023 - 12.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/async_while.mlir
// CHECK-NEXT: %1 = "tf.AddV2"(%0, %cst) : (tensor<i32>, tensor<i32>) -> tensor<i32> // CHECK-NEXT: "tf_mlrt.tf_promise"(%arg2, %1) : (!mlrt.promise, tensor<i32>) -> () // CHECK-NEXT: %2 = "tf.PartitionedCall"(%1, %arg5) <{config = "", config_proto = "", executor_type = "", f = @"map/while_cond/TfMlrtAsyncWhilePredicate"}> : (tensor<i32>, tensor<i32>) -> tensor<i1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 22.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/stack_ops_decomposition.mlir
: (tensor<!tf_type.resource>, tensor<i1>) -> tensor<!tf_type.resource> // CHECK: "tf.PartitionedCall" // CHECK-SAME: f = @callee_stack_decomposed %call2 = "tf.PartitionedCall"(%stack, %arg0) {f = @callee, config = "", config_proto = "", executor_type = ""} : (tensor<!tf_type.resource>, tensor<i1>) -> tensor<!tf_type.resource> // CHECK: "tf.Slice"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.8K bytes - Viewed (0)