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Results 1 - 10 of 10 for float_spl (0.26 sec)
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tensorflow/compiler/mlir/lite/tests/end2end/back2back_fake_quant.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 15 19:42:47 UTC 2021 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity.pbtxt
} dim { size: 1 } dim { size: 256 } dim { size: 186 } } float_val: 1.0 } } } } node { name: "BoxPredictor_4/ClassPredictor/weights/read" op: "Identity" input: "BoxPredictor_4/ClassPredictor/weights" attr { key: "T" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity_4bit.pbtxt
} dim { size: 1 } dim { size: 256 } dim { size: 186 } } float_val: 1.0 } } } } node { name: "BoxPredictor_4/ClassPredictor/weights/read" op: "Identity" input: "BoxPredictor_4/ClassPredictor/weights" attr { key: "T" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt
} dim { size: 1 } dim { size: 256 } dim { size: 186 } } float_val: 1.0 } } } } node { name: "BoxPredictor_4/ClassPredictor/weights/read" op: "Identity" input: "BoxPredictor_4/ClassPredictor/weights" attr { key: "T" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt
} dim { size: 1 } dim { size: 256 } dim { size: 186 } } float_val: 1.0 } } } } node { name: "BoxPredictor_4/ClassPredictor/weights/read" op: "Identity" input: "BoxPredictor_4/ClassPredictor/weights" attr { key: "T" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h
rewriter.setInsertionPoint(quantizing_op); Operation* float_op = rewriter.clone(*quantizing_op); quantizing_op->setAttr(kDebugModeOpQuantAttrName, rewriter.getUnitAttr()); float_op->setAttr(kDebugModeOpFloatAttrName, rewriter.getUnitAttr()); RewireFloatModelBackbone(quantizing_op, float_op); return success(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_tf_drq.mlir
// a very expensive pattern. %round_cst = "tf.Const"() {value = dense<0.5> : tensor<f32>} : () -> tensor<f32> %float_zp = "tf.Cast"(%zp) {Truncate = false} : (tensor<*xi32>) -> tensor<*xf32> %zp_plus_round_cst = "tf.AddV2"(%float_zp, %round_cst) : (tensor<*xf32>, tensor<f32>) -> tensor<*xf32> %div = "tf.Div"(%input, %scale) : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
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/cc/saved_model/testdata/half_plus_two_pbtxt/00000123/saved_model.pbtxt
type: DT_FLOAT } } attr { key: "value" value { tensor { dtype: DT_FLOAT tensor_shape { } float_val: 0.5 } } } } node { name: "a" op: "VariableV2" attr { key: "_output_shapes" value { list {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 26 01:10:27 UTC 2017 - 46.9K bytes - Viewed (0) -
tensorflow/c/while_loop_test.cc
params_->body_graph, "FakeQuantWithMinMaxArgs", "float_op"); TF_AddInput(desc, params_->body_inputs[0]); TF_FinishOperation(desc, s_); ASSERT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_)); string msg(TF_Message(s_)); EXPECT_NE(msg.find("Input 'inputs' passed int32 expected float while " "building NodeDef 'float_op'"), msg.npos); TF_AbortWhile(params_.get()); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 11 06:05:56 UTC 2024 - 15.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library.mlir
func.func @quantize_i8(%input : tensor<*xf32>, %scale : tensor<*xf32>, %zp : tensor<*xi32>) -> tensor<*xi8> { %float_zp = "tf.Cast"(%zp) {Truncate = false} : (tensor<*xi32>) -> tensor<*xf32> %div = "tf.Div"(%input, %scale) : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> %add = "tf.AddV2"(%div, %float_zp) : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 30.6K bytes - Viewed (0)