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Results 71 - 80 of 236 for tensor_a (0.14 sec)
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tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/dynamic_shape_constant.mlir
func.func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> { %cst = "tfl.pseudo_const"() {value = dense<[1, 2]> : tensor<2xi32>} : () -> tensor<?xi32> %0 = "tfl.add"(%arg0, %cst) {fused_activation_function = "NONE"} : (tensor<2xi32>, tensor<?xi32>) -> tensor<2xi32> func.return %0 : tensor<2xi32> } // CHECK: tensors: [ { // CHECK-NEXT: shape: [ 2 ], // CHECK-NEXT: type: INT32,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 810 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tf-data-pipeline.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 29 04:41:05 UTC 2021 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/optional_input.json
// CHECK: return %[[RES0]] : tensor<256x32x32x16xf32> { "version": 3, "operator_codes": [ { "builtin_code": "CONV_2D" } ], "subgraphs": [ { "tensors": [ { "shape": [ 256, 32,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/while_op.mlir
"tfl.yield"(%1#0, %1#1) : (tensor<*xi32>, tensor<*xf32>) -> () }) {is_stateless = false} : (tensor<i32>, tensor<1xf32>) -> (tensor<i32>, tensor<1xf32>) func.return %0#1 : tensor<1xf32> } func.func @cond(%arg0: tensor<*xi32>, %arg1: tensor<*xf32>) -> tensor<i1> { %cst = arith.constant dense<0> : tensor<i32> loc("Const") %0 = "tfl.greater"(%arg0, %cst) : (tensor<*xi32>, tensor<i32>) -> tensor<i1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/save_model.py
) -> _SignatureDefMap: """Validates if the tensor names in signatures are consistent with the graph. This function checks if the input and output tensor names in the signatures exist if the graph. The output tensor names might change during conversion, we try to fix that with `_restore_output_tensor_names`. Besides, if there are duplicated tensor names, they we will be prefixed with the signature name.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/variable.mlir
func.func @main() -> tensor<3x2xi32> { %0 = "tfl.pseudo_const" () {value = dense<0> : tensor<3x2xi32>, tfl.is_variable} : () -> tensor<3x2xi32> loc("variable") func.return %0 : tensor<3x2xi32> } // CHECK: { // CHECK-NEXT: version: 3, // CHECK-NEXT: operator_codes: [ ], // CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ { // CHECK-NEXT: shape: [ 3, 2 ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 17:29:59 UTC 2023 - 1.3K bytes - Viewed (0) -
tensorflow/c/ops.h
// Sets the allows_uninitialized_input property of the operation built by this // builder. // // By default, all inputs to an Op must be initialized Tensors. Ops that may // initialize tensors for the first time should set this field to true, to allow // the Op to take an uninitialized Tensor as input. TF_CAPI_EXPORT extern void TF_OpDefinitionBuilderSetAllowsUninitializedInput( TF_OpDefinitionBuilder* builder, bool allows_uninitialized_input);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 16.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
// pattern. if (getNewAxisMask() != 0) return {}; auto tensor_ty = shape_op.getInput().getType().dyn_cast<RankedTensorType>(); // Only ranked tensor can be folded. if (!tensor_ty) return {}; int64_t rank = tensor_ty.getRank(); int64_t begin_int = begin_attr.getValues<APInt>()[0].getSExtValue();
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/c/experimental/ops/array_ops.cc
int num_retvals = 1; return op_ptr->Execute(absl::MakeSpan(output, 1), &num_retvals); } // Op: IdentityN() // Summary: Returns a list of tensors with the same shapes and contents as the // input // // Description: // tensors. // // This op can be used to override the gradient for complicated functions. For // example, suppose y = f(x) and we wish to apply a custom function g for
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 6.7K bytes - Viewed (0) -
tensorflow/cc/framework/gradient_checker.h
#include "tensorflow/cc/framework/scope.h" #include "tensorflow/core/framework/tensor.h" namespace tensorflow { /// Returns in 'max_error' the maximum element-wise error for dy/dx between the /// computed and numeric Jacobian matrices where 'xs' and 'ys' are tensors. /// X_T and Y_T are the c++ types for the x and y tensors, and JAC_T is a /// real-valued type to store the Jacobian derivatives dy/dx.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 05 15:35:17 UTC 2022 - 2.8K bytes - Viewed (0)