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Results 61 - 70 of 378 for placeholders (0.26 sec)
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tensorflow/compiler/jit/partially_decluster_pass_test.cc
Output shape_a = ops::Placeholder(s.WithOpName("shape_a"), DT_INT32, ops::Placeholder::Attrs{}); Output shape_b = ops::Placeholder(s.WithOpName("shape_b"), DT_INT32, ops::Placeholder::Attrs{}); Output shape = ops::Add(s.WithOpName("shape"), shape_a, shape_b); Output reshape_input = ops::Placeholder(s.WithOpName("reshape_input"),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jun 10 12:32:39 UTC 2022 - 23K bytes - Viewed (0) -
tensorflow/compiler/aot/tests/make_test_graphs.py
def tfassert_eq(_): x = array_ops.placeholder(dtypes.int32, name='x_hold') y = array_ops.placeholder(dtypes.int32, name='y_hold') control_flow_assert.Assert( math_ops.equal(x, y), ['Expected x == y.'], name='assert_eq') math_ops.add(x, math_ops.negative(y), name='x_y_diff') def tfcond(_): p = array_ops.placeholder(dtypes.bool, name='p_hold') x = array_ops.placeholder(dtypes.int32, name='x_hold')
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 15 15:25:23 UTC 2023 - 7.8K bytes - Viewed (0) -
platforms/software/testing-base/src/test/groovy/org/gradle/api/internal/tasks/testing/DefaultTestFailureTest.groovy
given: def placeholder = new PlaceholderException("com.acme.OriginalException", "custom message", null, null, null, null) when: def failure = TestFailure.fromTestFrameworkFailure(placeholder) then: with(failure) { causes.empty rawFailure == placeholder with(details) { message == "custom message"
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Sep 18 20:52:40 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/jit/clone_constants_for_better_clustering_test.cc
Scope on_gpu = root.WithAssignedDevice(kGPU).WithDevice(kGPU); Scope on_cpu = root.WithAssignedDevice(kCPU).WithDevice(kCPU); Output in0 = ops::Placeholder(on_gpu.WithOpName("in0"), DT_FLOAT); Output in1 = ops::Placeholder(on_gpu.WithOpName("in1"), DT_FLOAT); Output perm = ops::Const(on_cpu.WithOpName("perm"), {3, 1, 2, 0}); { Output tr0 = ops::Transpose(on_gpu.WithOpName("tr0"), in0, perm);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 8.4K bytes - Viewed (0) -
platforms/core-runtime/serialization/src/test/groovy/org/gradle/internal/serialize/PlaceholderExceptionTest.groovy
def "toString() generally produces same output as original exception"() { def original = new Exception("original exception") def placeholder = new PlaceholderException(original.getClass().name, original.message, null, original.toString(), null, original.cause) expect: placeholder.toString() == original.toString() } def "toString() produces same output as original exception if the latter overrides toString()"() {
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Apr 15 16:06:56 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-multi-data-type-with-subtype.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 07 18:11:42 UTC 2022 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_util.h
// Attribute value will be a string, which is the outside compilation cluster // name for the outside compilation Placeholder node. extern const char kXlaOutsideCompilationInputsAttrName[]; // Attribute indicating that this is a Placeholder node for an _Arg node used in // outside compilation. We should not move this node out of XLA computation.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 06:59:07 UTC 2024 - 7.4K bytes - Viewed (0) -
tensorflow/cc/gradients/resource_variable_grad_test.cc
auto scope = Scope::NewRootScope(); auto x = Placeholder(scope, DT_FLOAT, Placeholder::Shape(shape)); auto var = VarHandleOp(scope, DT_FLOAT, shape); auto init = AssignVariableOp(scope, var, Const(scope, 2.0f, shape)); auto temp = ReadVariableOp(scope, var, DT_FLOAT); auto y = Mul(scope, temp, x); auto dy = Placeholder(scope, DT_FLOAT, Placeholder::Shape(shape)); OutputList dxs;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 14 15:30:48 UTC 2021 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_xla_computations_pass_test.cc
auto a = ops::Placeholder(scope.WithOpName("A"), DT_INT32); auto b = ops::Placeholder(scope.WithOpName("B"), DT_FLOAT); auto c = ops::Placeholder(scope.WithOpName("C"), DT_INT32); auto d = ops::Placeholder(scope.WithOpName("D"), DT_FLOAT); auto u = ops::Placeholder(scope.WithOpName("U"), DT_RESOURCE); auto v = ops::Placeholder(scope.WithOpName("V"), DT_RESOURCE);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 16 18:03:15 UTC 2023 - 14.7K bytes - Viewed (0) -
tensorflow/cc/gradients/data_flow_grad_test.cc
TensorShape d1_shape({2}); TensorShape d2_shape({2, 2}); std::vector<Output> indices = {Const(scope_, 2), Const(scope_, {1, 0})}; std::vector<Output> data = { Placeholder(scope_, DT_FLOAT, Placeholder::Shape(d1_shape)), Placeholder(scope_, DT_FLOAT, Placeholder::Shape(d2_shape))}; auto y = DynamicStitch(scope_, indices, data); TensorShape y_shape({3, 2}); RunTest(data, {d1_shape, d2_shape}, {y}, {y_shape}); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 02 18:49:13 UTC 2018 - 2.6K bytes - Viewed (0)