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tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
ones = array_ops.ones_like(out) out = array_ops.concat([out, ones], 0) elif self.same_scale_op == 'gather': out = array_ops.gather(out, indices=[0], axis=0) elif self.same_scale_op == 'max_pool': out = nn_ops.max_pool(out, ksize=3, strides=1, padding='SAME') elif self.same_scale_op == 'pad': paddings = array_ops.ones(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalization_op_config_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 03:31:01 UTC 2024 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 39.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir
%1 = "quantfork.stats"(%0) { layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>, axisStats = dense<[ [-1.0, 1.0], [-8.0, 8.0], [-0.5, 0.5] ]> : tensor<3x2xf32>, axis = 2 : i64 } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> func.return %1 : tensor<8x4x3xf32> // CHECK: %[[q1:.*]] = "tfl.quantize"(%arg0) <{qtype = tensor<8x4x3x!quant.uniform<i8:f32, 0.0078431372549019607:-1>>}> {volatile}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/ir/UniformSupport.h
const double clamp_max_double_; const uint32_t storage_bit_width_; const bool is_signed_; const llvm::APFloat::roundingMode round_mode_; }; // An utility class to quantize an attribute by the per-axis quantization // parameters. The size of the quantization dim in the converted elements // attribute should match the size of of scales/zero_points vectors in the // quantization parameters.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 9.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
TFE_Op* MinOp(TFE_Context* ctx, TFE_TensorHandle* input, TFE_TensorHandle* axis) { TF_Status* status = TF_NewStatus(); TFE_Op* op = TFE_NewOp(ctx, "Min", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, input, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, axis, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 22:37:46 UTC 2024 - 23.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/testdata/outside_compilation.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 19 20:19:45 UTC 2023 - 21.9K bytes - Viewed (0) -
src/math/sin.go
j++ y++ } j &= 7 // octant modulo 2Pi radians (360 degrees) z = ((x - y*PI4A) - y*PI4B) - y*PI4C // Extended precision modular arithmetic } // reflect in x axis if j > 3 { sign = !sign j -= 4 } zz := z * z if j == 1 || j == 2 { y = 1.0 - 0.5*zz + zz*zz*((((((_cos[0]*zz)+_cos[1])*zz+_cos[2])*zz+_cos[3])*zz+_cos[4])*zz+_cos[5]) } else {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize.mlir
func.func @QuantizeConcat(tensor<1x2xf32>, tensor<1x2xf32>) -> tensor<2x2x!quant.uniform<u8:f32, 1.000000e-01:128>> { ^bb0(%arg0: tensor<1x2xf32>, %arg1: tensor<1x2xf32>): %0 = "tfl.concatenation"(%arg0, %arg1) {axis = 0 : i32, fused_activation_function = "NONE"} : (tensor<1x2xf32>, tensor<1x2xf32>) -> tensor<2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 39.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir
// PerTensor-LABEL: QuantizeGatherWeightOnly func.func @QuantizeGatherWeightOnly(%arg0: tensor<3xi32>) -> tensor<3x3x3x3xf32> { %w = arith.constant dense<1.270000e+02> : tensor<64x3x3x3xf32> %emb = "tfl.gather"(%w, %arg0) {axis = 0 : i32, batch_dims = 0 : i32} : (tensor<64x3x3x3xf32>, tensor<3xi32>) -> tensor<3x3x3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 23 21:09:00 UTC 2024 - 23.2K bytes - Viewed (0)