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tensorflow/c/eager/unified_api_test.cc
absl::Span<AbstractTensorHandle*> outputs) { PartialTensorShape shape; TF_RETURN_IF_ERROR(inputs[0]->Shape(&shape)); if (shape.dims() != 0) { return errors::InvalidArgument( "Tensor expected to have scalar shape found rank: ", shape.dims()); } return absl::OkStatus(); } TEST_P(UnifiedAPI, TestTensorShapeScalar) { if (UseFunction() && UseMlir()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 13:57:45 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/cc/gradients/math_grad_test.cc
xs.push_back(Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape))); auto y = AddN(scope_, xs); RunTest(xs, {shape, shape, shape}, {y}, {shape}); } TEST_F(NaryGradTest, Add) { TensorShape x1_shape({3, 2, 5}); TensorShape x2_shape({2, 5}); auto x1 = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x1_shape)); auto x2 = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x2_shape));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 25 18:20:20 UTC 2023 - 36K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/device_compiler_test_helper.cc
TF_RETURN_IF_ERROR(session->Create(graph)); RunOptions run_options; Tensor input_a = CreateInputTensor(shape, 0); Tensor input_b = CreateInputTensor(shape, shape.num_elements()); Tensor input_c = CreateInputTensor(shape, 2 * shape.num_elements()); TF_RETURN_IF_ERROR(session->Run( run_options, {std::make_pair("a", input_a), std::make_pair("b", input_b),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 08:24:16 UTC 2024 - 6.2K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/img/java-library-ignore-deprecated-main.dot
node [fontname = "Sans"]; edge [fontname = "Sans"]; "apiElements" [shape="box", label=<<B>apiElements</B>(C)>, color="pink", bgcolor="pink", style="filled"] "apiElements" -> "api" "apiElements" -> "compileOnlyApi" "api" [shape="box", label=<<B>api</B>>, color="chartreuse3", bgcolor="chartreuse3", style="filled"] "compileOnlyApi" [shape="box", label=<<B>compileOnlyApi</B>>, color="chartreuse3", bgcolor="chartreuse3", style="filled"]
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Nov 27 17:53:42 UTC 2023 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_lstm.mlir
// CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 0 ], // CHECK-NEXT: name: "input_to_input_intermediate", // CHECK-NEXT: has_rank: true // CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 0 ], // CHECK-NEXT: name: "input_to_forget_intermediate", // CHECK-NEXT: has_rank: true // CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 0 ], // CHECK-NEXT: name: "input_to_cell_intermediate",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 11.7K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
auto c_api_client = down_cast<xla::PjRtCApiClient*>(pjrt_client->get()); std::vector<int32_t> data(1, 0); xla::Shape shape = xla::ShapeUtil::MakeShape(xla::S32, {1}); auto buffer = c_api_client->pjrt_c_client()->client->BufferFromHostBuffer( data.data(), shape.element_type(), shape.dimensions(), /*byte_strides=*/std::nullopt, xla::PjRtClient::HostBufferSemantics::kImmutableOnlyDuringCall, nullptr,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 01 16:29:40 UTC 2024 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm.mlir
// CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ { // CHECK-NEXT: shape: [ 1, 4 ], // CHECK-NEXT: buffer: 1, // CHECK-NEXT: name: "arg0", // CHECK-NEXT: quantization: { // CHECK-EMPTY: // CHECK-NEXT: }, // CHECK-NEXT: has_rank: true // CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 4, 4 ], // CHECK-NEXT: buffer: 2, // CHECK-NEXT: name: "arg1",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm_asym_attr.mlir
// CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ { // CHECK-NEXT: shape: [ 1, 4 ], // CHECK-NEXT: buffer: 1, // CHECK-NEXT: name: "arg0", // CHECK-NEXT: quantization: { // CHECK-EMPTY: // CHECK-NEXT: }, // CHECK-NEXT: has_rank: true // CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 4, 4 ], // CHECK-NEXT: buffer: 2, // CHECK-NEXT: name: "arg1",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/utils.h
return transposed_type; } // Returns shape of a ranked tensor. // Precondition: output_val's is ranked tensor. // Returns a truncated shape when `truncate` is set to true. inline DenseElementsAttr GetShape(Value output_val, bool truncate = false) { auto output_shape = output_val.getType().dyn_cast<ShapedType>().getShape(); SmallVector<int32_t> shape; shape.reserve(output_shape.size());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 11.6K bytes - Viewed (0) -
build-logic/packaging/src/main/kotlin/gradlebuild.shaded-jar.gradle.kts
import gradlebuild.basics.decapitalize import gradlebuild.shade.ArtifactTypes.buildReceiptType import gradlebuild.shade.ArtifactTypes.classTreesType import gradlebuild.shade.ArtifactTypes.entryPointsType import gradlebuild.shade.ArtifactTypes.manifestsType import gradlebuild.shade.ArtifactTypes.relocatedClassesAndAnalysisType import gradlebuild.shade.ArtifactTypes.relocatedClassesType import gradlebuild.shade.extension.ShadedJarExtension
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Sep 30 16:17:28 UTC 2023 - 8K bytes - Viewed (0)