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Results 1 - 10 of 15 for VAR_HANDLE (0.18 sec)
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tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir
// CHECK: [[ACCUM_NEW_LR:%.*]] = "tf.Mul"([[ACCUM_NEW]], [[LR]]) // CHECK: [[VAR:%.*]] = "tf.ReadVariableOp"([[VAR_HANDLE]]) // CHECK: [[VAR_NEW:%.*]] = "tf.Sub"([[VAR]], [[ACCUM_NEW_LR]]) // CHECK: "tf.AssignVariableOp"([[VAR_HANDLE]], [[VAR_NEW]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 51.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-variables.mlir
%0 = "tfl.var_handle"() : () -> tensor<!tf_type.resource> %1 = "tfl.dequantize"(%arg0) : (tensor<1x2x1x3x!quant.uniform<i8:f32, 1.0>>) -> tensor<1x2x1x3xf32> "tfl.assign_variable"(%0, %1) : (tensor<!tf_type.resource>, tensor<1x2x1x3xf32>) -> () func.return %arg0 : tensor<1x2x1x3x!quant.uniform<i8:f32, 1.0>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_TensorHandle* var_handle = TestVariable(ctx, 2.0, dev2_name); EXPECT_NE(var_handle, nullptr); TFE_ContextAsyncWait(ctx, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); const string function_def = VariableAddFunction();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 09:49:45 UTC 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
if (TF_GetCode(status) != TF_OK) return nullptr; TFE_TensorHandle* var_handle = nullptr; int num_retvals = 1; TFE_Execute(op, &var_handle, &num_retvals, status); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_DeleteOp(op); if (TF_GetCode(status) != TF_OK) return nullptr; CHECK_EQ(1, num_retvals); TF_DeleteStatus(status); return var_handle; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 22:37:46 UTC 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/ops/variable_ops.cc
strlen(ResourceHandle::ANONYMOUS_NAME))); AbstractTensorHandle* var_handle = nullptr; int num_retvals = 1; TF_RETURN_IF_ERROR(varhandle_op->Execute( absl::MakeSpan(&var_handle, num_retvals), &num_retvals)); AbstractTensorHandlePtr owned_var_handle(var_handle); if (!tensorflow::isa<ImmediateExecutionTensorHandle>( owned_var_handle.get())) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 11:28:19 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf-variables.mlir
func.return %2, %3 : tensor<1x10xf32>, tensor<1x10xi64> } // CHECK: %[[RESOURCE:.*]] = "tfl.var_handle"() <{container = "c", shared_name = "a"}> : () -> tensor<!tf_type.resource<tensor<1x10xf32>>> // CHECK: %[[RESOURCE_1:.*]] = "tfl.var_handle"() <{container = "c", shared_name = "b"}> : () -> tensor<!tf_type.resource<tensor<1x10xi64>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/host_runtime/tfrt_ops.td
serialization. This Op will restore the tensors asynchronously. There are N restored tensors corresponding to N $var_handle. Each restored tensor is given a unique name, typically a concatenation of `container_name` and `shared_name` from a `var_handle`. The runtime shall handle the possibility that the tensors are not ready when requested because the tensors are loaded asynchronously. }];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/jit/build_xla_ops_pass_test.cc
} Node* MakeWrite(const Scope& scope, Output value_to_write, const string& id) { Output var_handle = ops::VarHandleOp(scope.WithOpName("Var_" + id), DT_FLOAT, TensorShape({})); ops::AssignVariableOp assign_op(scope.WithOpName("Assignee_" + id), var_handle, value_to_write); return assign_op.operation.node(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 12.2K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass_test.cc
Node** var_handle_op = nullptr) { Output var_handle = ops::VarHandleOp(scope.WithOpName("Var" + id), DT_FLOAT, TensorShape({})); Output read = ops::ReadVariableOp(scope.WithOpName("Read" + id), var_handle, DT_FLOAT); if (var_handle_op) { *var_handle_op = var_handle.node(); } return read.node(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 10:11:10 UTC 2024 - 79.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/convert_control_to_data_outputs.mlir
%add2:2 = tf_executor.island wraps "tf.Add"(%arg0, %one#0) : (tensor<i32>, tensor<i32>) -> tensor<i32> %var_handle:2 = tf_executor.island wraps "tf.VarHandleOp"() {container = "c", shared_name = "v0"} : () -> !tf_res %assign = tf_executor.island wraps "tf.AssignVariableOp"(%var_handle, %arg1) : (!tf_res, tensor<f32>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 18:35:00 UTC 2024 - 68.9K bytes - Viewed (0)