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tensorflow/compiler/mlir/tensorflow/tests/readonly_references_to_resources.mlir
// Test case: Basic converting. func.func @f() { // CHECK: "tf.VarHandleOp" // CHECK: "tf.ReadVariableOp" %val0 = "tf.VariableV2"() {_class = ["loc:@v"], container = "", device = "", shape = #tf_type.shape<96>, shared_name = ""} : () -> tensor<96x!tf_type.f32ref> %val1 = "tf.Identity"(%val0) : (tensor<96x!tf_type.f32ref>) -> tensor<96xf32> func.return } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 4.1K bytes - Viewed (0) -
tensorflow/cc/gradients/linalg_grad_test.cc
Output y = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(y_shape)); auto z = Einsum(scope_, {x, y}, "i,i->"); TensorShape z_shape({}); RunTest({x, y}, {x_shape, y_shape}, {z}, {z_shape}); } TEST_F(LinalgGradTest, Einsum_OuterProduct) { TensorShape x_shape({3}); TensorShape y_shape({5}); Output x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 07 23:11:54 UTC 2022 - 5.8K 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/tensorflow/tests/name_anonymous_iterators.mlir
%0 = "tf.AnonymousIteratorV3"() {output_shapes = [ #tf_type.shape<200x28x28x1>, #tf_type.shape<200x10>], output_types = [f32, f32]} : () -> tensor<!tf_type.resource> // CHECK: "tf.Iterator" // CHECK-SAME: shared_name = "_iterator2" %1 = "tf.AnonymousIteratorV3"() {output_shapes = [ #tf_type.shape<200x10>], output_types = [f32]} : () -> tensor<!tf_type.resource> return } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Oct 14 09:25:38 UTC 2022 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/strip_tf_attributes.mlir
return %arg4 : tensor<10xf32> } // ----- // CHECK-LABEL: strips_attributes_with_tf_values // CHECK-NOT: tf func.func @strips_attributes_with_tf_values() attributes {foo = #tf_type.shape<32x28x28x1>} { return } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 25 20:04:10 UTC 2022 - 1.5K 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)