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Results 31 - 40 of 55 for _output_shapes (0.23 sec)
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tensorflow/compiler/mlir/tfrt/tests/mlrt/tf_to_mlrt.mlir
%2 = "tf.Const"() {__op_key = 2: i32, device = "/device:CPU:0", value = dense<1> : tensor<i64>} : () -> tensor<i64> %3 = "tf.RangeDataset"(%0, %1, %2) {__op_key = 3: i32, device = "/device:CPU:0", output_shapes = [#tf_type.shape<>], output_types = [i64], metadata = ""} : (tensor<i64>, tensor<i64>, tensor<i64>) -> tensor<!tf_type.variant> // CHECK: tf_mlrt.executeop{{.*}}op: \22FlatMapDataset\22
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 24.7K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
continue; } shape.dims = new int64_t[shape.num_dims]; for (size_t j = 0; j < shape.num_dims; ++j) { shape.dims[j] = c.Value(c.Dim(shape_handle, j)); } } if (output_shapes != nullptr) *output_shapes = output_shapes_result; // TODO(bgogul): Set output_resource_shapes_and_types. } void TF_ImportGraphDefOptionsSetValidateColocationConstraints(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 29.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
} auto output_shape = xla::ShapeInference::InferGatherShape( input_shape, start_indices_shape, gather_dim_numbers, slice_sizes); if (!output_shape.ok()) { op->emitError() << output_shape.status().message(); return false; } auto refined_type = xla::ConvertShapeToType<RankedTensorType>( *output_shape, mlir::Builder(op)); if (!refined_type.ok()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
def FuseBinaryOpWithTransposeConv#binaryOp : Pat< (binaryOp (TFL_TransposeConvOp:$output $output_shape, $weights, $input, (Arith_ConstantOp FloatElementsAttr:$bias), $padding, $stride_h, $stride_w, TFL_AF_None), (Arith_ConstantOp FloatElementsAttr:$value), $act_fn), (TFL_TransposeConvOp $output_shape, $weights, $input, (binaryOp (Arith_ConstantOp $bias),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
auto new_shape = rewriter.create<TF::ShapeOp>(loc, shape_type, input); SmallVector<int64_t, 8> output_shape(/*Size=*/1, op.getNumElements()); for (const auto &dim : dense_elem_attr.getValues<APInt>()) output_shape.push_back(dim.getSExtValue()); RankedTensorType result_type = tensorflow::GetTypeFromTFTensorShape( output_shape, getElementTypeOrSelf(input)); rewriter.replaceOpWithNewOp<TF::ReshapeOp>(op, result_type, input,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
auto begin = rewriter.create<ConstOp>(op->getLoc(), axis_type, begin_attr); SmallVector<int64_t, 4> output_shape; output_shape.append(input_shape.begin(), input_shape.end()); output_shape[axis_i] = size_i; auto size_attr = DenseIntElementsAttr::get(axis_type, output_shape); auto size = rewriter.create<ConstOp>(op->getLoc(), axis_type, size_attr);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
int64_t out_row_dim = output_shape[output_shape.size() - 2]; int64_t out_col_dim = output_shape[output_shape.size() - 1]; int64_t expected_out_row_dim = op.getAdjX() ? x_col_dim : x_row_dim; int64_t expected_out_col_dim = op.getAdjY() ? y_row_dim : y_col_dim; if (expected_out_row_dim != ShapedType::kDynamic && out_row_dim != ShapedType::kDynamic && out_row_dim != expected_out_row_dim)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td
Variadic<TF_Tensor>:$output ); TF_DerivedOperandTypeListAttr Tin = TF_DerivedOperandTypeListAttr<1>; TF_DerivedResultTypeListAttr Tout = TF_DerivedResultTypeListAttr<0>; TF_DerivedResultShapeListAttr output_shapes = TF_DerivedResultShapeListAttr<0>; let hasCanonicalizer = 1; let hasVerifier = 1; let extraClassDeclaration = [{ int num_branches() { return getBranches().size(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 04:08:35 UTC 2024 - 90.5K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util.cc
const xla::HloInputOutputAliasConfig& input_output_alias, absl::Span<const int> input_mapping, const std::map<int, const Tensor*>& resource_vars_snapshots, DataType output_dtype, const TensorShape& output_shape, Allocator* output_allocator, bool allocate_xla_tensors, se::Stream* stream, bool use_multiple_streams, std::shared_ptr<se::Event> definition_event) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 00:36:08 UTC 2024 - 40.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.cc
return ConvertTensor(t, builder); } void ConvertToTensorShapeProto(ArrayRef<int64_t> shape, TensorShapeProto* output_shape) { for (auto d : shape) { output_shape->add_dim()->set_size(ShapedType::isDynamic(d) ? kTFDynamicSize : d); } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 20.5K bytes - Viewed (0)