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Results 11 - 20 of 36 for DT_INT64 (0.17 sec)
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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-function-resource-args.pbtxt
node { name: "x" op: "VarHandleOp" device: "/CPU:0" attr { key: "container" value { s: "a" } } attr { key: "dtype" value { type: DT_INT64 } } attr { key: "shape" value { shape { } } } attr { key: "shared_name" value { s: "x" } } } node {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_type.cc
case DT_INT16: *type = builder.getIntegerType(16); return absl::OkStatus(); case DT_INT32: *type = builder.getIntegerType(32); return absl::OkStatus(); case DT_INT64: *type = builder.getIntegerType(64); return absl::OkStatus(); case DT_UINT8: *type = builder.getIntegerType(8, /*isSigned=*/false); return absl::OkStatus(); case DT_UINT16:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/parse_example.mlir
// CHECK-NEXT: value { // CHECK-NEXT: i: 0 // CHECK-NEXT: } // CHECK-NEXT: } // CHECK-NEXT: attr { // CHECK-NEXT: key: "Tdense" // CHECK-NEXT: value { // CHECK-NEXT: list { // CHECK-NEXT: type: DT_INT64 // CHECK-NEXT: } // CHECK-NEXT: } // CHECK-NEXT: } // CHECK-NEXT: attr { // CHECK: key: "dense_shapes" // CHECK-NEXT: value { // CHECK-NEXT: list { // CHECK-NEXT: shape {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/convert_type.cc
case tflite::TensorType_INT32: return tensorflow::DT_INT32; 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;
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/compiler/mlir/tensorflow/tests/graphdef2mlir/parse_example_v2.pbtxt
attr { key: "ragged_value_types" value { list { } } } attr { key: "sparse_types" value { list { type: DT_STRING type: DT_INT64 } } } } versions { producer: 175
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/compiler/mlir/tensorflow/utils/convert_tensor.cc
CONVERT_FLAT(DT_FLOAT, float) CONVERT_FLAT(DT_DOUBLE, double) CONVERT_FLAT(DT_INT8, int8) CONVERT_FLAT(DT_INT16, int16) CONVERT_FLAT(DT_INT32, int32) CONVERT_FLAT(DT_INT64, int64_t) CONVERT_FLAT(DT_UINT8, uint8) CONVERT_FLAT(DT_UINT16, uint16) CONVERT_FLAT(DT_UINT32, uint32) CONVERT_FLAT(DT_UINT64, uint64) CONVERT_FLAT(DT_COMPLEX64, std::complex<float>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 20.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/mlir_graph_optimization_pass_test.cc
{"y: T"}, // Attr def {"T: {float, double, int32, int64}"}, // Nodes { {{"two"}, "Const", {}, {{"value", kTwo}, {"dtype", DT_INT64}}}, {{"scale"}, "Cast", {"two"}, {{"SrcT", DT_INT64}, {"DstT", "$T"}}}, {{"y"}, "Mul", {"x", "scale"}, {{"T", "$T"}}}, }); } class MlirGraphOptimizationPassTest : public Test { public:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 08:25:30 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_cpu_device.cc
// Kernel registrations constexpr std::array<DataType, 18> kAllXlaCpuTypes = { {DT_UINT8, DT_QUINT8, DT_UINT16, DT_INT8, DT_QINT8, DT_INT16, DT_INT32, DT_QINT32, DT_INT64, DT_HALF, DT_FLOAT, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128, DT_BOOL, DT_BFLOAT16, DT_INT4, DT_UINT4}}; REGISTER_XLA_LAUNCH_KERNEL(DEVICE_XLA_CPU, XlaLocalLaunchOp, kAllXlaCpuTypes);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_gpu_device.cc
// Kernel registrations constexpr std::array<DataType, 20> kAllXlaGpuTypes = { {DT_UINT8, DT_QUINT8, DT_UINT16, DT_INT8, DT_QINT8, DT_INT16, DT_INT32, DT_QINT32, DT_INT64, DT_HALF, DT_FLOAT, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128, DT_BOOL, DT_BFLOAT16, DT_FLOAT8_E5M2, DT_FLOAT8_E4M3FN, DT_INT4, DT_UINT4}};
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics_saver_op.cc
OP_REQUIRES(context, context->input_type(i * 3 + 1) == DT_FLOAT, absl::AbortedError("The input `max` must have float type.")); OP_REQUIRES( context, context->input_type(i * 3 + 2) == DT_INT64, absl::AbortedError("The input `histogram` must have int64 type.")); } } ~CalibrationStatisticsSaverOp() override { // Save to file during destruction so we only save it once.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 13 01:31:23 UTC 2024 - 8K bytes - Viewed (0)