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tensorflow/compiler/mlir/lite/tests/end2end/quant_stats.pbtxt
# RUN: tf_tfl_translate -tf-input-arrays=input0,input1 \ # RUN: -tf-input-shapes=4:4 \ # RUN: -tf-input-data-types=DT_FLOAT,DT_FLOAT \ # RUN: -tf-output-arrays=Add \ # RUN: -tf-inference-type=DT_QUINT8 \ # RUN: -tf-input-min-values='-2,-3' \ # RUN: -tf-input-max-values='2,3' \ # RUN: --quant-stats=%s.stats \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4K bytes - Viewed (0) -
platforms/core-runtime/launcher/src/test/groovy/org/gradle/launcher/daemon/server/DefaultDaemonConnectionTest.groovy
connection.queueIncoming(input1) connection.queueIncoming(input2) connection.queueIncoming(closeInput) received.await() daemonConnection.stop() then: 1 * handler.onInput(input1) 1 * handler.onInput(input2) 1 * handler.onEndOfInput() >> { received.countDown() } 0 * handler._ }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed May 15 19:51:37 UTC 2024 - 11.7K 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/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/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) -
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 = '$input2' } """ } private static String customTaskImpl() { """
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 28 09:03:53 UTC 2024 - 23.5K bytes - Viewed (0) -
pkg/spiffe/spiffe_test.go
}, { name: "Success when response contains multiple certs", in: input1, extraCerts: serverCerts, statusCode: http.StatusOK, body: validSpiffeX509BundleWithMultipleCerts, wantNumCerts: 2, }, { name: "Bundle endpoint is not trusted", in: input1, extraCerts: nil, statusCode: http.StatusOK, body: validSpiffeX509Bundle,
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu May 23 21:07:03 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
(BinaryOp (TFL_ReshapeOp:$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) -
tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops.mlir
%10 = "tf.opK"() : () -> tensor<*xi16> %11 = "tf.opL"() : () -> tensor<*xi64> tf_device.replicate([%0, %1, %2] as %input0: tensor<*xi1>, %9 as %input1: tensor<*xi8>, %10 as %input2: tensor<*xi16>, [%3, %4, %5] as %input3: tensor<*xi32>, [%6, %7, %8] as %input4: tensor<*xf32>, %11 as %input5: tensor<*xi64>) {n = 3 : i32} { tf_device.return } func.return // CHECK: %[[OP_A:[a-z0-9]*]] = "tf.opA"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 23:53:20 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/simple-graph.mlir
// RUN: tac-translate -input-mlir -output-mlir -device-specs=GPU %s -o - 2>&1 | FileCheck %s module { func.func @main(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> attributes {tf.entry_function = {inputs = "input0,input1,input2,input3", outputs = "output"}} { %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU6"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.6K bytes - Viewed (0)