- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 12 for out_backprop (0.18 sec)
-
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_gpu_cc_60.mlir
func.func @transposeConv2DBackpropFilter_f16( %input: tensor<1x28x28x64xf16>, %filter_size: tensor<4xi32>, %out_backprop: tensor<1x28x28x64xf16> ) -> tensor<1x1x64x64xf16> { // CHECK: "tf.Conv2DBackpropFilter" // CHECK-SAME: data_format = "NCHW" %0 = "tf.Conv2DBackpropFilter"(%input, %filter_size, %out_backprop) { data_format = "NHWC", padding = "VALID", strides = [1, 1, 1, 1]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 21 08:41:18 UTC 2022 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_gpu_cc_70.mlir
func.func @transposeConv2DBackpropFilter_f32( %input: tensor<1x28x28x64xf32>, %filter_size: tensor<4xi32>, %out_backprop: tensor<1x28x28x64xf32> ) -> tensor<1x1x64x64xf32> { // CHECK: "tf.Conv2DBackpropFilter" // CHECK-SAME: data_format = "NCHW" %0 = "tf.Conv2DBackpropFilter"(%input, %filter_size, %out_backprop) { data_format = "NHWC", padding = "VALID", strides = [1, 1, 1, 1]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 21 08:41:18 UTC 2022 - 8.5K bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.cc
// // Description: // It accumulates all the values from out_backprop into the feature dimension. // For NHWC data format, the feature dimension is the last. For NCHW data // format, the feature dimension is the third-to-last. Status BiasAddGrad(AbstractContext* ctx, AbstractTensorHandle* const out_backprop, AbstractTensorHandle** output, const char* data_format,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nchw.mlir
func.return %0 : tensor<?x?x?x?xf32> } // CHECK-LABEL: func @transposeConv2DBackpropFilter func.func @transposeConv2DBackpropFilter( %input: tensor<1x32x32x3xf32>, %filter_sizes: tensor<4xi32>, %out_backprop: tensor<1x32x32x8xf32> ) -> tensor<1x1x3x8xf32> { // CHECK: %[[FILTER_PERM:[0-9]*]] = "tf.DataFormatVecPermute" // CHECK-SAME: dst_format = "NCHW" // CHECK-SAME: src_format = "NHWC"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9K bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.h
const char* raw_device_name = nullptr); // The backward operation for "BiasAdd" on the "bias" tensor. Status BiasAddGrad(AbstractContext* ctx, AbstractTensorHandle* const out_backprop, AbstractTensorHandle** output, const char* data_format = "NHWC", const char* name = nullptr, const char* raw_device_name = nullptr); } // namespace ops
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.td
"$0.getType().cast<RankedTensorType>().getRank(), $1, &$_builder)">; def LowerBiasAddGradOp : Pat<(TF_BiasAddGradOp AnyRankedTensor:$out_backprop, $data_format), (TF_SumOp $out_backprop, (TF_ConstOp (GetBiasAddGradReductionIndices $out_backprop, $data_format)), /*keep_dims=*/ConstBoolAttrFalse)>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 24.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_patterns.td
def LegalizeMatrixDiag : Pat<(TF_MatrixDiagOp $diagonal), (TFL_MatrixDiagOp $diagonal)>; def LegalizeConv2DBackpropInput : Pat< (TF_Conv2DBackpropInputOp $input_sizes, $filter, $out_backprop, IsIntList1XY1:$strides, BoolAttr:$use_cudnn_on_gpu, IsSameOrValid:$padding, I64ArrayAttr:$explicit_paddings, IsDataFormatNHWC:$data_format, IsAllOnes:$dilations),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 28.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
func.return %0 : tensor<256x9x7x16xf32> } // ----- // CHECK-LABEL: @conv2d_backprop_input_dynamic func.func @conv2d_backprop_input_dynamic(%filter: tensor<2x2x1x16xf32>, %out_backprop: tensor<?x256x256x16xf32>) -> tensor<?x512x512x1xf32> { // CHECK: %[[REV_FILTER:.*]] = "mhlo.reverse"(%arg0) <{dimensions = dense<[0, 1]> : tensor<2xi64>}> // CHECK: %[[RESULT:.*]] = mhlo.convolution(%arg1, %[[REV_FILTER]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
return op.emitOpError( "requires out_backprop operand to have rank at least two with `NHWC` " "data format"); } else { // Op definition requires data_format to be either NHWC or NCHW. DCHECK_EQ(format, tensorflow::TensorFormat::FORMAT_NCHW); if (!HasRankAtLeast(op.getOutBackprop(), 3)) return op.emitOpError( "requires out_backprop operand to have rank at least three with "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
}]; let description = [{ It accumulates all the values from out_backprop into the feature dimension. For NHWC data format, the feature dimension is the last. For NCHW data format, the feature dimension is the third-to-last. }]; let arguments = (ins Arg<TF_NumberTensor, [{Any number of dimensions.}]>:$out_backprop, DefaultValuedOptionalAttr<TF_ConvnetDataFormatAttr, "\"NHWC\"">:$data_format
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)