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Results 131 - 140 of 178 for conv_2d (0.23 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir
// TF-DAG: "tf.DumpTensor"(%[[conv0_float]]) <{enabled = true, file_name = "unquantized_tensor_data.pb", func_name = "conv_with_dump", log_dir_path = "/tmp/dumps/composite_conv2d_with_bias_and_relu6_fn_2", node_name = "Conv2D"}> {device = ""}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 80.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/optimize.td
def DefinedByConv2D : Constraint<CPred<"llvm::isa_and_nonnull<mlir::TF::Conv2DOp>($0.getDefiningOp())">>; // Checks if the value has only one user. def HasOneUse : Constraint<CPred<"$0.hasOneUse()">>; // If we see a Conv2D op followed by Mul, then multiply the filter // with the value in Mul. def FuseMulAndConv2D : Pat<(TF_MulOp:$mul (TF_Conv2DOp:$conv $input, (Arith_ConstantOp:$filter F32ElementsAttr:$filter_value),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 22 07:31:23 UTC 2023 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/README.md
In this pass, every op will be targeted with the user specified targets based on the device capabilites. For example, If the user specified the desired targets are "GPU", "CPU", `conv2d` can run on both "GPU" and "CPU", we will annotate the op `conv2d` with "GPU" since it's preferred; `pack` can only run on "CPU", so we will annotate the op with "CPU" since "GPU" does not support this op. #### Raise Target Subgraphs Pass
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
func.return %arg0 : tensor<*xi32> } // Test conv2d inferReturnTypes can infer some information when input or // filter does not have fully static shape. // CHECK-LABEL: func @conv2d_unranked_input_and_filter func.func @conv2d_unranked_input_and_filter(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) -> tensor<*xf32> { // CHECK: "tf.Conv2D" // CHECK-SAME: -> tensor<?x?x?x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/cc/gradients/nn_grad.cc
op.input(2), strides, padding, filter_attrs)); Conv2D::Attrs conv_attrs; conv_attrs.use_cudnn_on_gpu_ = use_cudnn_on_gpu; conv_attrs.explicit_paddings_ = explicit_paddings; conv_attrs.data_format_ = data_format; conv_attrs.dilations_ = dilations; grad_outputs->push_back( Conv2D(scope, grad_inputs[0], op.input(1), strides, padding, conv_attrs)); return scope.status(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 27 23:34:33 UTC 2022 - 24.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir
%5 = "tf.Pad"(%arg0, %3) : (tensor<2x224x224x3xf32>, tensor<4x2xi32>) -> tensor<2x230x230x3xf32> // CHECK: "tf.Conv2D" // CHECK-SAME: strides = [1, 1, 1, 1] // CHECK-SAME: (tensor<2x115x115x12xf32>, tensor<4x4x12x64xf32>) -> tensor<2x112x112x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 37.4K bytes - Viewed (0) -
test/inline.go
return *(*uint32)(unsafe.Pointer(&f)) } // Ensure OCONVNOP is zero cost. func Conv(v uint64) uint64 { // ERROR "can inline Conv" return conv2(conv2(conv2(v))) // ERROR "inlining call to (conv1|conv2)" } func conv2(v uint64) uint64 { // ERROR "can inline conv2" return conv1(conv1(conv1(conv1(v)))) // ERROR "inlining call to conv1" } func conv1(v uint64) uint64 { // ERROR "can inline conv1"
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 23:33:25 UTC 2023 - 11.7K bytes - Viewed (0) -
test/newinline.go
return *(*uint32)(unsafe.Pointer(&f)) } // Ensure OCONVNOP is zero cost. func Conv(v uint64) uint64 { // ERROR "can inline Conv" return conv2(conv2(conv2(v))) // ERROR "inlining call to (conv1|conv2)" } func conv2(v uint64) uint64 { // ERROR "can inline conv2" return conv1(conv1(conv1(conv1(v)))) // ERROR "inlining call to conv1" } func conv1(v uint64) uint64 { // ERROR "can inline conv1"
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Nov 16 20:15:25 UTC 2023 - 11.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/debuginfo/v1_1.0_224_frozen.wrong_attr.line.part.pbtxt.debug
key: "MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm@" value { file_line_cols { file_index: 5 line: 362 } } } traces { key: "MobilenetV1/MobilenetV1/Conv2d_0/Conv2D@" value { file_line_cols { file_index: 2 line: 27 } } } traces { key: "input@" value { file_line_cols { file_index: 40 line: 690
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 11 15:36:55 UTC 2019 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver_with_skipping.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 6.3K bytes - Viewed (0)