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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/parse_example.pbtxt
# CHECK: tf_executor.fetch %[[output]] : tensor<*xi64> node { name: "serilaized" op: "Const" attr { key: "dtype" value { type: DT_STRING } } attr { key: "value" value { tensor { dtype: DT_STRING tensor_shape { dim { size: 1 } } string_val: "" } } } } node {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/parse_example_v2.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 3.6K bytes - Viewed (0) -
tensorflow/c/kernels/summary_op_test.cc
} else { EXPECT_TRUE(absl::StrContains(ctx.status().ToString(), expected_output)) << ctx.status(); } } TEST(ScalarSummaryOpTest, SimpleFloat) { int vectorSize = 3; Tensor tags(DT_STRING, {vectorSize}); Tensor values(DT_FLOAT, {vectorSize}); tags.vec<tstring>()(0) = "tag1"; tags.vec<tstring>()(1) = "tag2"; tags.vec<tstring>()(2) = "tag3"; values.vec<float>()(0) = 1.0f;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jul 18 15:10:51 UTC 2022 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/parse_example_v2.mlir
["tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT"], dense_shapes = [#tf_type.shape<>, #tf_type.shape<>], device = "", num_sparse = 2 : i64, ragged_split_types = [], ragged_value_types = [], resultSegmentSizes = array<i32: 2, 2, 2, 2, 0, 0>, sparse_types = ["tfdtype$DT_STRING", "tfdtype$DT_INT64"]} : (tensor<32x!tf_type.string>, tensor<0x!tf_type.string>, tensor<2x!tf_type.string>, tensor<2x!tf_type.string>, tensor<0x!tf_type.string>, tensor<0xf32>, tensor<0xf32>) -> (tensor<?x2xi64>, tensor<?x2xi64>, tensor<?x!tf_type.string>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/convert_type.cc
case tflite::TensorType_UINT32: return tensorflow::DT_UINT32; case tflite::TensorType_INT64: return tensorflow::DT_INT64; case tflite::TensorType_STRING: return tensorflow::DT_STRING; case tflite::TensorType_UINT8: return tensorflow::DT_UINT8; case tflite::TensorType_UINT16: return tensorflow::DT_UINT16; case tflite::TensorType_UINT64: return tensorflow::DT_UINT64;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 23:04:40 UTC 2024 - 8.2K bytes - Viewed (0) -
tensorflow/cc/framework/cc_ops_test.cc
EXPECT_FALSE(root.status().ok()); } TEST(CCOpTest, InvalidFinalize) { Scope root = Scope::NewRootScope(); auto read_up_to = ops::ReaderReadUpTo(root, Variable(root, {}, DT_STRING), Variable(root, {}, DT_STRING), static_cast<int32>(2)); EXPECT_FALSE(root.status().ok()); auto err_msg = std::string(root.status().message()); EXPECT_NE(err_msg.find("'num_records' passed int32 expected int64"),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 15 15:13:38 UTC 2023 - 8.7K bytes - Viewed (0) -
tensorflow/cc/saved_model/bundle_v2.cc
TF_RETURN_WITH_CONTEXT_IF_ERROR( bundle_reader->Lookup(kObjectGraphProtoKey, &object_graph_tensor), "SavedModel checkpoint does not contain object graph."); if (object_graph_tensor.dtype() != DT_STRING || object_graph_tensor.dims() != 0 || object_graph_tensor.NumElements() != 1) { return absl::Status( absl::StatusCode::kFailedPrecondition,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Dec 05 18:28:37 UTC 2023 - 9.1K bytes - Viewed (0)