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tensorflow/compiler/mlir/tfrt/tests/mlrt/tf_to_mlrt.mlir
// CHECK-LABEL: @main_stream_0 // CHECK-SAME: ([[input0:%.*]]: !tf_mlrt.tensor, [[promise_b:%.*]]: !mlrt.promise) func.func @main_stream_0(%input0: tensor<i32>, %promise_b: !mlrt.promise) { %const = "tf.Const"() {__op_key = 0 : i32, value = dense<1> : tensor<i32>} : () -> tensor<i32> // CHECK: [[a:%.*]] = tf_mlrt.executeop([[input0]], // CHECK-SAME: AddV2
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 24.7K bytes - Viewed (0) -
platforms/core-runtime/serialization/src/test/groovy/org/gradle/internal/serialize/kryo/KryoBackedDecoderTest.groovy
def "can read from stream and then restart to use another stream"() { def input1 = encoded("string 1") def input2 = encoded("string 2") given: def decoder = new KryoBackedDecoder(input1) decoder.readString() decoder.restart(input2) expect: decoder.readPosition == 0 decoder.readString() == "string 2"
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Apr 15 16:06:56 UTC 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/while_loop_test.cc
Init(2); // Create nested loop: // while (input1 < 6) { // inner_input1 = input1 // while (inner_input1 < 3) { // input2 += 1 // inner_input1 += 2 // } // input1 += input2 // } // // Expected execution with initial values input1 = input2 = 0: // // outer inner inner_ // step# step# input1 input2 input1 // ------------------------------------
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 11 06:05:56 UTC 2024 - 15.3K bytes - Viewed (0) -
platforms/software/dependency-management/src/test/groovy/org/gradle/integtests/resolve/transform/ArtifactTransformInvocationTest.groovy
def setup() { INVOCATION_COUNT.set(0) } def "input artifact selection is restored when using the in-memory cache"() { def transform = registerTransform(IdentityTransform) def inputArtifact1 = file("input1/input.txt") inputArtifact1.text = "Hello" def inputArtifact2 = file("input2/input.txt") inputArtifact2.text = "Hello" expect:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 7K bytes - Viewed (0) -
subprojects/core/src/integTest/groovy/org/gradle/api/internal/tasks/SnapshotTaskInputsOperationIntegrationTest.groovy
} private static String customTaskCode(String input1, String input2) { """ ${customTaskImpl()} task customTask(type: CustomTask){ input1 = '$input1' input2 = '$input2' } """ } private static String customTaskImpl() { """
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 28 09:03:53 UTC 2024 - 23.5K bytes - Viewed (0) -
platforms/core-configuration/model-core/src/main/java/org/gradle/model/internal/core/DirectNodeInputUsingModelAction.java
return new AbstractModelAction<T>(reference, descriptor, input1, input2) { @Override public void execute(MutableModelNode modelNode, List<ModelView<?>> inputs) { action.execute(modelNode, Cast.<I>uncheckedCast(inputs.get(0).getInstance()), Cast.<J>uncheckedCast(inputs.get(1).getInstance()) ); } }; }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Sep 28 09:51:04 UTC 2023 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
(BinaryOp (TFL_ReshapeOp:$lhs $input1, (Arith_ConstantOp:$shape1 $s1)), (TFL_ReshapeOp:$rhs $input2, (Arith_ConstantOp:$shape2 $s2))), (TFL_ReshapeOp (BinaryOp $input1, $input2), $shape1), [(IsTailOfShape $rhs, $lhs), (IsTailOfShape $lhs, $rhs), (IsTailOfShape $input1, $input2), (IsTailOfShape $input2, $input1), (SameElementType $input1, $input2)]>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
platforms/software/dependency-management/src/test/groovy/org/gradle/internal/rules/DefaultRuleActionAdapterTest.groovy
then: ruleAction.inputTypes == [] closureCalled == "it" when: ruleAction = ruleActionAdapter.createFromClosure(String, { String s, String input1, Integer input2 -> closureCalled = input1 + input2 }) ruleAction.execute("", ["foo", 3]) then: ruleAction.inputTypes == [String, Integer] closureCalled == "foo3" } def "can adapt from action" () {
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 4.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/pick-subgraphs.mlir
%0 = func.call @func_0_CPU_QUANTIZED_INT8(%arg0, %arg1, %arg2) {tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8", tac.interface_name = "func_0"} : (tensor<100x!quant.uniform<i8:f32, 2.000000e-01:-3>>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops_invalid.mlir
} // ----- // Check number of replicated inputs is evenly divisible by 'n'. func.func @verifier_replicate_bad_operandSegmentSizes(%arg0: tensor<*xi32>) { "tf_device.replicate" (%arg0, %arg0, %arg0, %arg0) ({ // expected-error@-1 {{'tf_device.replicate' op expects number of replicated inputs (4) to be evenly divisible by 'n' (3)}} ^entry(%input0: tensor<*xi32>, %input1: tensor<*xi32>): tf_device.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 9.8K bytes - Viewed (0)