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Results 11 - 20 of 62 for tanh (0.07 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
%cst_2, %cst_2, %cst_2, %cst_7, %cst_7, %cst_7, %cst_7, %cst_2, %cst_2, %recurrent_stats, %cell_stats, %cst_2, %cst_2, %cst_2, %cst_2) {cell_clip = 1.000000e+01 : f32, fused_activation_function = "TANH", proj_clip = 0.000000e+00 : f32, time_major = false} : ( tensor<1x28x28xf32>, tensor<20x28xf32>, tensor<20x28xf32>, tensor<20x28xf32>, tensor<20x28xf32>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/composite_lowering_patterns.td
(variadic $inputs), ConstantStrAttr<StrAttr, "aten.gelu.default">, $attrs, $_, $_), (TFL_GeluOp $inputs, ConstBoolAttrTrue),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.json
"intermediates": [ 25, 26, 27, 28, 29 ], "builtin_options_type": "UnidirectionalSequenceLSTMOptions", "builtin_options": { "fused_activation_function": "TANH", "cell_clip": 50.0 }, "mutating_variable_inputs": [ false, false, false, false, false, false, false, false, false,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 06:25:50 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
// CHECK-SAME: <{cell_clip = 1.000000e+01 : f32, fused_activation_function = "TANH", kernel_type = #tfl<lstm_kernel_type_attr FULL>, proj_clip = 0.000000e+00 : f32}> ({
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_tf.cc
// Populate attributes. SmallVector<NamedAttribute, 4> attributes; // Activation will always be tanh. attributes.push_back(rewriter.getNamedAttr("fused_activation_function", rewriter.getStringAttr("TANH"))); // cell_clip. attributes.push_back( rewriter.getNamedAttr("cell_clip", rewriter.getF32FloatAttr(0.0))); // proj_clip.
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/lite/stablehlo/tests/optimize.mlir
%4 = mhlo.exponential %3 : tensor<13x13x13xf32> %5 = mhlo.tanh %3 : tensor<13x13x13xf32> return %4, %5 : tensor<13x13x13xf32>, tensor<13x13x13xf32> // CHECK: "mhlo.pad"(%arg0, %0) <{ // CHECK-SAME: edge_padding_high = dense<2> : tensor<3xi64>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 22.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.h
// inconsistent with Conv 1x1 which always performs per channel quantization. bool disable_per_channel_for_dense_layers = false; // Whether to use fixed output ranges of the activation ops (tanh, sigmoid, // etc.) and not infer weight constants. // If this option is set, quantization emulation ops should be placed after // the ops in the input graph. This flag should be set to false for
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 10:16:19 UTC 2024 - 10.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
input_cell_state_, input_layer_norm_coefficients_, forget_layer_norm_coefficients_, cell_layer_norm_coefficients_, output_layer_norm_coefficients_, builder_.getStringAttr("TANH"), builder_.getF32FloatAttr(10.0), builder_.getF32FloatAttr(0.0), mlir::TFL::LSTMKernelTypeAttr::get(builder_.getContext(), mlir::TFL::LSTMKernelType::FULL),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 36.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
^bb0(%arg0: tensor<? x f32>): // CHECK: "tfl.tanh"(%arg0) %0 = "tfl.tanh"(%arg0): (tensor<? x f32>) -> tensor<? x f32> func.return %0 : tensor<? x f32> } // CHECK-LABEL: testTanhWithQI8 func.func @testTanhWithQI8(%arg0: tensor<? x !quant.uniform<i8:f32, 0.1>>) -> tensor<? x !quant.uniform<i8:f32, 0.1>> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
//CHECK-NEXT: return %0 : tensor<1x30x1xi32> //CHECK-NEXT:} func.func @tanh(%arg0: tensor<1x1x1x96xf32>) -> tensor<1x1x1x96xf32> { %0 = "vhlo.tanh_v1" (%arg0) : (tensor<1x1x1x96xf32>) -> tensor<1x1x1x96xf32> func.return %0 : tensor<1x1x1x96xf32> } //CHECK:func.func private @tanh(%arg0: tensor<1x1x1x96xf32>) -> tensor<1x1x1x96xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (0)