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Results 101 - 110 of 173 for conv_3d (0.23 sec)
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tensorflow/compiler/jit/tests/keras_imagenet_main.golden_summary
ReadVariableOp 2 Switch 1 _Arg 435 _Retval 2 cluster 0 size 1910 Add 16 AddN 71 ArgMax 1 AssignAddVariableOp 1 BiasAdd 1 BiasAddGrad 1 Cast 115 Const 407 Conv2D 53 Conv2DBackpropFilter 53 Conv2DBackpropInput 52 Equal 1 FusedBatchNormGradV2 53 FusedBatchNormV2 53 MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 218 Pad 2 ReadVariableOp 538
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 874 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/quantization.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/cpu_hardware.cc
TargetHardwareOpRegistration<CpuHardware, Op> Op##_CpuHardware_hardware( \ Create); // Operation costs on CPU // Currently used for these ops: // tfl.conv_2d / tfl.depthwise_conv_2d / tfl.fully_connected class CpuConvOp : public TargetHardwareOperation { double GetOpCost(mlir::Operation* op) const override { float cost = 0.0; int64_t arithmetic_count;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_tf.cc
dilation_width_factor = rewriter.getI32IntegerAttr(1); } StringAttr padding; if (!TFPaddingIsSameOrValid(op, &padding)) return failure(); // TensorFlow Conv3D has no bias, optimization patterns will fuse Conv3D // with other ops can fill the bias. Value none = rewriter.create<TFL::NoValueOp>( op->getLoc(), rewriter.getNoneType(), rewriter.getUnitAttr());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 20:06:54 UTC 2024 - 45.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 32.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/debuginfo/v1_1.0_224_frozen.wrong_attr.stack.part.pbtxt
} } attr { key: "_class" value { list { s: "loc:@MobilenetV1/Conv2d_0/weights" } } } } node { name: "MobilenetV1/MobilenetV1/Conv2d_0/Conv2D" op: "Conv2D" input: "input" input: "MobilenetV1/Conv2d_0/weights/read" attr { key: "T" value { type: DT_FLOAT } } attr { key: "data_format" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 27 18:59:05 UTC 2023 - 16.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_drq_min_elements.mlir
func.func @not_lift_float_conv(%arg0: tensor<1x3x4x512xf32>) -> (tensor<*xf32>) { %cst = "tf.Const"() {value = dense<3.000000e+00> : tensor<2x3x512x512xf32>} : () -> tensor<2x3x512x512xf32> %0 = "tf.Conv2D"(%arg0, %cst) { data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.1K bytes - Viewed (0) -
test/typeparam/issue49027.dir/main.go
if x != s { panic(fmt.Sprintf("got %s wanted %s", x, s)) } y, ok := a.Conv2(s) if !ok { panic("conversion failed") } if y != s { panic(fmt.Sprintf("got %s wanted %s", y, s)) } z := a.Conv3(s) if z != s { panic(fmt.Sprintf("got %s wanted %s", z, s)) } w := a.Conv4(a.Mystring(s)) if w != a.Mystring(s) { panic(fmt.Sprintf("got %s wanted %s", w, s)) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Mar 24 02:14:15 UTC 2022 - 617 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_tf_drq.mlir
%5 = "tf.MatMul"(%1, %3) { attr_map = "transpose_a:0,transpose_b:1" } : (tensor<*xi32>, tensor<*xi32>) -> tensor<*xi32> func.return %5 : tensor<*xi32> } // Conv2D with int32 accumulation func.func private @internal_conv2d_fn( %input : tensor<*xi8>, %filter : tensor<*xi8>, %input_scale : tensor<*xf32>, %input_zp : tensor<*xi32>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 15:43:38 UTC 2023 - 12.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/gpu_hardware.cc
return false; } return true; } }; std::unique_ptr<TargetHardwareOperation> CreateConcatOp() { return std::make_unique<GpuConcatOp>(); } // Currently used for these ops: // tfl.conv_2d / tfl.depthwise_conv_2d / tfl.fully_connected class GpuConvOp : public TargetHardwareOperation { double GetOpCost(mlir::Operation* op) const override { int64_t arithmetic_count;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 7.8K bytes - Viewed (0)