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tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
VLOG(1) << "[potentially conservative] Op type `" << node.type_string() << "` is stateful but effects not modelled"; } else { // See if any resource type is used. bool resource = false; std::function<bool(mlir::Type)> record_resource; record_resource = [&](mlir::Type type) { type.walk([&](mlir::Type t) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
bias = array_ops.constant( np.random.uniform(size=[shapes[1][-1]]), dtype=dtypes.float32 ) model = MatmulModel(bias) x = array_ops.constant( np.random.uniform(size=x_shape), dtype=dtypes.float32 ) y = array_ops.constant( np.random.uniform(size=y_shape), dtype=dtypes.float32 ) if use_kernel: model.matmul = model.matmul_with_kernel
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
dtype == tensorflow::DT_UINT16 || dtype == tensorflow::DT_INT16 || dtype == tensorflow::DT_UINT8 || dtype == tensorflow::DT_INT8 || dtype == tensorflow::DT_HALF || dtype == tensorflow::DT_BFLOAT16 || dtype == tensorflow::DT_FLOAT || dtype == tensorflow::DT_DOUBLE || dtype == tensorflow::DT_COMPLEX64 || dtype == tensorflow::DT_COMPLEX128 || dtype == tensorflow::DT_BOOL) { return {};
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
%5 = "tf.Add"(%arg1, %arg2) : (tensor<8x10xf32>, tensor<8x10xf32>) -> tensor<8x10xf32> %6 = "tf.Const"() {_output_shapes = ["tfshape$"], device = "/device:CPU:0", dtype = f32, value = dense<1.000000e+00> : tensor<f32>} : () -> tensor<f32> func.return %5, %4, %5, %5, %6 : tensor<8x10xf32>, tensor<?x8x10xf32>, tensor<8x10xf32>, tensor<8x10xf32>, tensor<f32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/jit/extract_outside_compilation_pass.cc
for (auto* n : arg_nodes) { int index; TF_RETURN_IF_ERROR(GetNodeAttr(n->attrs(), "index", &index)); DataType dtype; TF_RETURN_IF_ERROR(GetNodeAttr(n->attrs(), "T", &dtype)); (*recv_at_host_dtypes)[index] = dtype; } for (int i = 0, end = recv_at_host_dtypes->size(); i < end; i++) { if ((*recv_at_host_dtypes)[i] == DT_INVALID) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 104.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
%1 = "tf.Const"() {device = "", dtype = f32, value = dense<0.000000e+00>: tensor<16x28xf32>} : () -> tensor<16x28xf32> %2 = "tf.Const"() {device = "", dtype = f32, value = dense<0.000000e+00>: tensor<16x16xf32>} : () -> tensor<16x16xf32> %3 = "tf.Const"() {device = "", dtype = f32, value = dense<0.000000e+00>: tensor<16xf32>} : () -> tensor<16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/c/c_api.cc
metadata.type = TF_ATTR_INT; } else if (typestr == "list(float)") { metadata.type = TF_ATTR_FLOAT; } else if (typestr == "list(bool)") { metadata.type = TF_ATTR_BOOL; } else if (typestr == "list(type)") { metadata.type = TF_ATTR_TYPE; } else if (typestr == "list(shape)") { metadata.type = TF_ATTR_SHAPE;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_subgraphs_pass_test.cc
} Node* KnownShapeBase(DataType dtype, absl::Span<const int> shape, const GraphDefBuilder::Options& opts) { if (opts.HaveError()) return nullptr; NodeBuilder node_builder(opts.GetNameForOp("Const"), "Const", opts.op_registry()); TensorProto value; value.set_dtype(dtype); for (int dim : shape) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 113.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
// CHECK: %[[RESULT:.*]] = "tf.Maximum"(%arg0, %[[CST]]) {device = "/job:localhost/replica:0/task:0/device:GPU:0", dtype = i32} : (tensor<4xi32>, tensor<i32>) -> tensor<4xi32> // CHECK: return %[[RESULT]] %cst_0 = arith.constant dense<0> : tensor<i32> %0 = "tf.Maximum"(%arg0, %cst_0) {device = "/job:localhost/replica:0/task:0/device:GPU:0", dtype = i32} : (tensor<4xi32>, tensor<i32>) -> tensor<4xi32> func.return %0 : tensor<4xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0)